Time-Resolved Fluorescence Wiki

roi_fitting_using_the_flim_script

Anonymous (anonymous@undisclosed.example.com) — 2023-02-23T07:08:46+00:00

2020/05/13 11:42		current
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-	This tutorial shows step-by-step, how the [[glossary:flim\|FLIM]] script of [[products:SymPhoTime64\|SymPhoTime 64]] can be used to fit several regions of interest (ROIs), and how to extract and interpret the results. In detail, the FLIM script is started using a daisy pollen image from the "Samples" – workspace, then three regions of interest are defined which are finally fitted.	+	This tutorial shows step-by-step, how the [[glossary:flim\|FLIM]] script of [[products:SymPhoTime64\|SymPhoTime 64]] can be used to fit several regions of interest (ROIs), and how to extract and interpret the results. In details, the FLIM script is started using a daisy pollen image from the "Samples" – workspace, then three regions of interest are defined which are finally fitted.

	{{ youtube>g6uyvLQW4nY?large }}		{{ youtube>g6uyvLQW4nY?large }}

flim_fret_calculation_for_multi_exponential_donors

Anonymous (anonymous@undisclosed.example.com) — 2023-11-21T10:33:47+00:00

2020/05/12 14:44		current
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	~~NOTOC~~		~~NOTOC~~

-	====== FLIM FRET Calculation for Multi Exponential Donors ======	+	====== FLIM-FRET Calculation for Multi Exponential Donors ======

software

Anonymous (anonymous@undisclosed.example.com) — 2026-07-07T11:50:49+00:00

2025/05/28 09:47		current
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	*[[https://github.com/khemmen/katcorr/\|Katherinas correlator]] is a collection of scripts and correlators that are inspired by the paper Ries...Schwille 2010 Optics Express "Automated suppression of sample-related artifacts in FCS".		*[[https://github.com/khemmen/katcorr/\|Katherinas correlator]] is a collection of scripts and correlators that are inspired by the paper Ries...Schwille 2010 Optics Express "Automated suppression of sample-related artifacts in FCS".
	These scripts have different scopes and use the library [[https://github.com/Fluorescence-Tools/tttrlib\|tttrlib]] to read and correlate time-tagged time resolved (TTTR) files.		These scripts have different scopes and use the library [[https://github.com/Fluorescence-Tools/tttrlib\|tttrlib]] to read and correlate time-tagged time resolved (TTTR) files.
		+
		+	*[[https://github.com/yusuf-qutbuddin/theatRICS]] is a Python-based toolkit designed for the analysis of time-resolved fluorescence data. It is particularly well-suited for high-throughput data processing, offering efficient workflows for researchers managing large TCSPC datasets.
		+

	* [[http://flim-analyzer.ip-korea.org/\|FLIM-FRET analyzer]]: open source software for automation of lifetime-based FRET analysis. This is a Microsoft Windows application originally developed in C#. The main goal of this application is to provide the FLIM community a user-friendly application.		* [[http://flim-analyzer.ip-korea.org/\|FLIM-FRET analyzer]]: open source software for automation of lifetime-based FRET analysis. This is a Microsoft Windows application originally developed in C#. The main goal of this application is to provide the FLIM community a user-friendly application.

lifetime_fitting_using_the_flim_analysis

Anonymous (anonymous@undisclosed.example.com) — 2015-02-25T13:59:23+00:00

2014/06/18 14:19		current
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	~~NOTOC~~		~~NOTOC~~

-	====== Lifetime fitting Using the FLIM-analysis ======	+	====== Lifetime Fitting Using the FLIM Analysis ======

lifetime-fitting_using_the_rapid_reconvolution_algorithm

Anonymous (anonymous@undisclosed.example.com) — 2023-02-17T12:40:42+00:00

2021/06/12 07:05		current
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-		+	{{tag>howto tutorial FLIM analysis SymPhoTime MT LSM_upgrade reconvolution fitting}}
-	{{tag>howto tutorial FLIM analysis SPT SymPhoTime MT LSM_upgrade reconvolution fitting}}	+

pile-up_effect

Anonymous (anonymous@undisclosed.example.com) — 2015-06-03T15:09:55+00:00

2015/06/03 17:09		current
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-	{{tag>pile-up TCSPC pile-up dead_time}}	+	{{tag> TCSPC pile-up dead_time}}
	~~TOC~~		~~TOC~~

differential_count_rate

Anonymous (anonymous@undisclosed.example.com) — 2017-09-26T11:46:03+00:00

2017/09/24 05:34		current
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	Not really. In case of pulsed signals the average count rate is a misleading quantity. An average count rate value does not take into account when and how those photons are emitted and detected. Interpreting a 100 kcps intensity as a constant emission rate (Poisson mean rate, in math terms) is a misconception. The physics of the measurement is completely different. These photons are obviously not emitted evenly, one by one over the whole one second period. They arrive to the detector bunched, as flashes. These are short time intervals with huge photon density (rate), separated by long "dark", quiet periods.		Not really. In case of pulsed signals the average count rate is a misleading quantity. An average count rate value does not take into account when and how those photons are emitted and detected. Interpreting a 100 kcps intensity as a constant emission rate (Poisson mean rate, in math terms) is a misconception. The physics of the measurement is completely different. These photons are obviously not emitted evenly, one by one over the whole one second period. They arrive to the detector bunched, as flashes. These are short time intervals with huge photon density (rate), separated by long "dark", quiet periods.

-	Getting a final count at "1% of SYNC rate" is a result of **low sampling rate of a high rate signal**.	+	In yet another words, achieving a final count rate at "1% of SYNC rate" is a result of **sparse sampling with dead time**. The sampled signal features much higher photon density, but lasts only for a short time.

	In mathematical terms, "average count rate of 1..2% of SYNC rate" means the overall detection probability, integrated over the whole duration of a measurement. The concept of //differential count rate// is related to the //probability density function//. The detected signal in TCSPC has a very inhomogeneous time distribution.		In mathematical terms, "average count rate of 1..2% of SYNC rate" means the overall detection probability, integrated over the whole duration of a measurement. The concept of //differential count rate// is related to the //probability density function//. The detected signal in TCSPC has a very inhomogeneous time distribution.

	Note: for detectors that exhibit count rate dependent shifting of the IRF, extra care has to be taken when measuring the IRF and directly using it for decay analysis. ((Takuhiro Otosu, Kunihiko Ishii and Tahei Tahara, Note: Simple calibration of the counting-rate dependence of the timing shift of single photon avalanche diodes by photon interval analysis, Rev. Sci. Instrum. 84, 036105 (2013); [[http://dx.doi.org/10.1063/1.4794769]]))		Note: for detectors that exhibit count rate dependent shifting of the IRF, extra care has to be taken when measuring the IRF and directly using it for decay analysis. ((Takuhiro Otosu, Kunihiko Ishii and Tahei Tahara, Note: Simple calibration of the counting-rate dependence of the timing shift of single photon avalanche diodes by photon interval analysis, Rev. Sci. Instrum. 84, 036105 (2013); [[http://dx.doi.org/10.1063/1.4794769]]))

lifetime-fitting_using_the_flim_script

Anonymous (anonymous@undisclosed.example.com) — 2023-08-03T14:16:00+00:00

2023/02/17 13:42		current
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	Note:\\		Note:\\
-	The software offers the possibility to fit the data using a n-exponential tailfit, n-exponential reconvolution or rapid reconvolution fit. A tailfit can be used when the fitted lifetimes are significantly longer than the instrument response function. A reconvolution fit is usually preferable, because the complete decay is fitted, while for a tailfit, the start of the fitting range is usually a bit arbitrary. A rapidReconvolution fit is needed, if the count rates, with which the image was acquired are significantly above the Pile Up limit. It is also needed, if the pulse frequency is too high for the fluorescence decay to decrease to the background level before the end of the decay window (often, this is the case for 2-Photon-Excitation data acquired with a TiSa-laser with 80MHz repetition rate). Check out the rapidFLIM-analysis tutorial for this case.\\	+	The software offers the possibility to fit the data using a n-exponential tailfit, n-exponential reconvolution or rapid reconvolution fit. A tailfit can be used when the fitted lifetimes are significantly longer than the instrument response function. A reconvolution fit is usually preferable, because the complete decay is fitted, while for a tailfit, the start of the fitting range is usually a bit arbitrary. A rapidReconvolution fit is needed, if the count rates, with which the image was acquired are significantly above the Pile Up limit. It is also needed, if the pulse frequency is too high for the fluorescence decay to decrease to the background level before the end of the decay window (often, this is the case for 2-Photon-Excitation data acquired with a TiSa-laser with 80MHz repetition rate). Check out the rapidReconvolution tutorial for this case (https://www.tcspc.com/doku.php/howto:lifetime-fitting_using_the_rapid_reconvolution_algorithm).\\

	For explanations about the fitting model and the used equations, click on the "Help" button next to the selected model. This opens a help window containing the fitting equation and the explanation of the different parameters.\\		For explanations about the fitting model and the used equations, click on the "Help" button next to the selected model. This opens a help window containing the fitting equation and the explanation of the different parameters.\\

antibunching_measurements

Anonymous (anonymous@undisclosed.example.com) — 2025-04-09T14:01:09+00:00

2025/04/09 16:00		current
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	====== How to Perform Antibunching Measurements ======		====== How to Perform Antibunching Measurements ======

-	Antibunching Measurements are (normally) measured in T2 mode. In T2 mode, all input channels of the TCSPC electronics are treated the same, also the "Sync" channel. Therefore the sync has to be disabled either by disconneting the cable, or by changing the CFD level or trigger level to such a value that the sync is not recognized any more. i.e. Sync rate = 0 . Directly in the Sepia software, the sync out can also be disabled.	+	Antibunching Measurements are (normally) measured in T2 mode. In T2 mode, all input channels of the TCSPC electronics are treated the same, also the "Sync" channel. Therefore the sync has to be disabled either by disconneting the cable, or by changing the CFD level or trigger level to such a value that the sync is not recognized any more. i.e. Sync rate = 0 . Directly in the Sepia software, the sync out can also be disabled.

	The descriptions below only mention physically disconnecting the sync. This is strictly necessary only for the PicoHarp 300 because it only has two channels.		The descriptions below only mention physically disconnecting the sync. This is strictly necessary only for the PicoHarp 300 because it only has two channels.

visualizing_dynamics_using_the_multiframe-flim_script

Anonymous (anonymous@undisclosed.example.com) — 2023-02-17T12:41:10+00:00

2021/10/19 21:59		current
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-	{{tag>howto FLIM multi-frame imaging analysis dynamics tutorial LSM_upgrade SPT SymPhoTime}}	+	{{tag>howto FLIM multi-frame imaging analysis dynamics tutorial LSM_upgrade SymPhoTime}}

	====== Visualizing Dynamics Using the Multi Frame FLIM Analysis (updated for SymPhoTime v2.5 and above) ======		====== Visualizing Dynamics Using the Multi Frame FLIM Analysis (updated for SymPhoTime v2.5 and above) ======

t3-mode

Anonymous (anonymous@undisclosed.example.com) — 2015-02-10T16:27:57+00:00

2015/02/10 17:27		current
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	- the arrival time of the event pair on the overall experiment time scale (the time tag).		- the arrival time of the event pair on the overall experiment time scale (the time tag).

-	The latter was originally obtained from an independent asynchronous clock. This made it difficult to combine the start-stop timing with the time tag or to know the sync period the event belonged to. For the PicoHarp's T3 Mode a smarter approach was chosen:\\	+	The latter was originally obtained from an independent asynchronous clock. This made it difficult to combine the start-stop timing with the time tag or to know the sync period the event belonged to. For the *Harp's T3 Mode a smarter approach was chosen:\\
	The time tag is now obtained by simply counting sync pulses. From the T3 Mode event records it is therefore possible to precisely determine which sync period a photon event belongs to. Since the sync period is also known precisely, this furthermore allows to reconstruct the arrival time of the photon with respect to the overall experiment time.		The time tag is now obtained by simply counting sync pulses. From the T3 Mode event records it is therefore possible to precisely determine which sync period a photon event belongs to. Since the sync period is also known precisely, this furthermore allows to reconstruct the arrival time of the photon with respect to the overall experiment time.

visualizing_dynamics_with_the_multi_frame_flim_analysis

Anonymous (anonymous@undisclosed.example.com) — 2020-05-13T09:39:06+00:00

2015/11/03 15:33		current
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	~~NOTOC~~		~~NOTOC~~

-	====== Visualizing Dynamics with the Multi Frame FLIM Analysis ======	+	====== Visualizing Dynamics Using the Multi Frame FLIM Analysis ======

	===== Summary =====		===== Summary =====

symphotime_tips_and_tricks

Anonymous (anonymous@undisclosed.example.com) — 2020-04-03T14:54:26+00:00

2020/04/03 16:54		current
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-	~~TOC~~

	{{tag>Howto Analysis Tutorial SymPhoTime Tips&Tricks}}		{{tag>Howto Analysis Tutorial SymPhoTime Tips&Tricks}}
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	====== SymPhoTime 64 Analysis Tips and Tricks ======		====== SymPhoTime 64 Analysis Tips and Tricks ======
		+
		+	~~TOC~~
		+
	===== Summary =====		===== Summary =====

advantages_and_disadvantages_of_two_photon_excitation_tpe

Anonymous (anonymous@undisclosed.example.com) — 2014-01-28T13:07:58+00:00

2014/01/28 14:07		current
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-	{{tag>TPE}}
	====== Advantages and disadvantages of two photon excitation (TPE) ======		====== Advantages and disadvantages of two photon excitation (TPE) ======

update

Anonymous (anonymous@undisclosed.example.com) — 2023-02-23T06:37:29+00:00

2023/02/23 07:24		current
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	===== Introduction =====		===== Introduction =====
	This tutorial shows step-by-step, how the FLIM script of SymPhoTime 64 can be used to fit several regions of interest (ROIs), and how to extract and interpret the results. In detail, the FLIM script is started using an image of mouse kidney tissue in the “Tutorials” workspace, [[https://figshare.com/s/4957fcfa684daef86c23]], a suited fitting model is chosen and a pixel-by-pixel fit is performed.\\		This tutorial shows step-by-step, how the FLIM script of SymPhoTime 64 can be used to fit several regions of interest (ROIs), and how to extract and interpret the results. In detail, the FLIM script is started using an image of mouse kidney tissue in the “Tutorials” workspace, [[https://figshare.com/s/4957fcfa684daef86c23]], a suited fitting model is chosen and a pixel-by-pixel fit is performed.\\
		+
		+
		+	===== Step-by-step Tutorial =====
		+
		+	==== Select a file and start the analysis ====
		+
		+	* Start SymPhoTime 64 software (this tutorial uses version 2.5, there might be differences when working with other versions).
		+	* Open the “Tutorials” workspace via File -> Open Workspace from the main menu.\\
		+
		+	Response:\\
		+	The files of the sample workspace are displayed in the workspace panel on the left side of the main window.
		+	* Highlight the file ''Kidney_Cells_FLIM.ptu'' by a single mouse click.
		+	* Select the "Analysis" tab and in there, open the "Imaging" drop-down menu.\\
		+	* Start the FLIM script by clicking on "Start".\\
		+
		+	{{ howto:startflim.png?200 \|}}
		+
		+
		+	Response:\\
		+	The FLIM analysis is applied to the file ''Kidney_Cells_FLIM.ptu''. Thereby, a new Window opens:
		+
		+	{{ howto:kidneyfullscreen3.png \|}}
		+
		+
		+	Note:\\
		+	The window contains five different sections:\\
		+	1: Setting panel\\
		+	Imaging analysis options can be defined in this section.\\
		+	2: [[glossary:Fast FLIM]] image\\
		+	The FLIM preview image displayed in a false color scale. The brightness encodes the intensity, while the color encodes the average "Fast FLIM" lifetime, i.e. the mean arrival times of the photons after the laser pulse. When not defined otherwise, intensity and color scale stretch from minimum to maximum. As the mean arrival time of the background photons in the areas where no fluorescence is detected, is randomly spread over the TCSPC window, the mean photon arrival time of the dark background is usually very long (with an average up to 1/2 of the TCSPC window), which makes the color scale loaded by default sometimes unsuited for displaying the lifetime contrast in the actual sample. In this case, the scale can be adapted.\\
		+	3: Fluorescence Lifetime Histogram\\
		+	Here the frequency of photon counts corresponding to the individual mean lifetimes is plotted. The settings of the plot can be adapted using the controls on the right of the plot. The histogram is photon weighted.\\
		+	4: Decay Fitting Parameters\\
		+	Here the lifetime fitting model can be selected. Fitting is then applied to the lifetime graph(s) on the lower center ([[glossary:TCSPC]] histogram).\\
		+	5: [[glossary:TCSPC]] Decay window\\
		+	By default, this set shows the [[glossary:TCSPC]] histogram of all photons in the image in green (= dataset 0) and the [[glossary:TCSPC]] histogram of a single pixel in grey (= dataset 1). In red an estimation of the instrument response function (=IRF) is shown. The IRF reconstruction is deducted from the rising edge of the [[glossary:TCSPC]] histogram.\\
		+
		+
		+	* To enhance the lifetime contrast, adapt the color scale by typing the limit values for the "Fast Lifetime [ns]" and "Events[cnts]". Additionally set the "Lifetime Histogram" range on the right hand.
		+	* Tick the checkbox of the detection "Data Channel" (i.e. detector), you want to use - in this case detector channel 4 - and press "Calculate FastFLIM".\\
		+
		+	{{ howto:detectionchannel.png?400 \|}}
		+
		+	Response:\\
		+	The FLIM Preview image will get updated. Optimize contrast by adapting "Min" and "Max" values.
		+
		+	==== Select a file and start the analysis ====
		+
		+	* In the FLIM preview image, ROIs can be selected using the context menu (Right Click).\\
		+
		+	{{ howto:selectmagicwand_w.png?300 \|}}
		+
		+	Note:\\
		+
		+	- The following ROI-selection tools are available: Rectangle ROI, Ellipse ROI for simple drawing and Paint ROI for marking the pixels the mouse passed over. The faster the mouse pointer moves, the broader the marked lines will get. Free ROI draws a free shape. The pixels within the drawn shape will be selected. Finally Magic Wand marks area with similar fast lifetime.
		+	- Using keyboard shortcuts ''<CTRL>+<Z>'' you can undo a selection. Redo also with ''<CTRL>+<Shift>+<Z>'' is possible.\\
		+	- You can add several areas to an existing ROI with the same or different selection tool by keeping the ''<Shift>'' key pressed while drawing the additional regions.\\
		+	- If you want to remove some of the pixels from the selected ROI, just keep the ''<CTRL>'' key pressed when using a ROI selection tool to exclude the unwanted parts.\\
		+	- Additionally you can zoom, move or Invert the ROI. Please see the shortcuts provided for each option in the context menu.\\
		+	- If you want to start again from scratch select "Select all as ROI".\\
		+
		+	* In this step, as an example, we mark an ROI with similar lifetime range using the "Magic Wand" tool. The sensitivity of the tool to lifetime differences can be adjusted in a box below the intensity and color scale options.\\
		+
		+	{{ howto:magicwand_w_thresh.png?300 \|}}
		+
		+	* Increase the threshold to 25.\\
		+
		+	{{ howto:inner_magicwand25_3.png \|}}
		+
		+	Response:\\
		+	The parts of the image with a similar fast lifetime range will be selected and the lifetime histogram will get updated accordingly. If you want to combine several spatially separated regions with a similar lifetime into one single ROI, as it's done here, you have to press "Shift" when selecting the spatial separated areas with the Magic wand tool.
		+
		+	Note:\\
		+	Since this function is based on the displayed image, the sensitivity of the selection is dependent on the scaling of the color-encoded component. Changing the color scale (in general the lifetime) can change the sensitivity of this tool.\\
		+
		+
		+	Response:\\
		+	An extra gray decay corresponding to ''ROI 0'' will appear under decay fit in "Decay Fitting" panel.\\
		+
		+
		+	Note:\\
		+	For fine adjustment, you can use any other ROI selection tools from context menu. In this case better to use ''<CTRL>'' or ''<Shift>'' buttons in order to remove pixel with a different or add pixels with similar fast lifetime. Ideally try to select an ROI with 10000 to 100000 counts in peak for getting the optimum statistics. ROIs with lower intensities can also be fitted, but in case of a more-exponential decay, some components might not be resolved.\\
		+
		+
		+	* In order to select an additional ROI, click "New" ROI.\\
		+
		+	{{ howto:addroi.png?400 \|}}
		+
		+
		+	Response:\\
		+	The software assigns sequential numbers to selected ROIs.The whole preview image will appear again.\\
		+
		+	* For the next ROI, first we use the same tool, "Magic Wand" but adapt its threshold to 20.
		+	{{ howto:tubul_magicwand20_3.png \|}}
		+
		+	* Repeat the last two steps in order to select the cell nuclei as the last ROI.\\
		+
		+	{{ howto:nuclei_magicwand30_3.png \|}}
		+
		+	Response:\\
		+	Now you can see fast FLIM (preview) images of "ROI 0", "ROI 1" and "ROI 2" when selecting them in the ROI-list In the Region of Interest-Menu, as well as their corresponding decays in TSCPC window in grey when selecting the different decays in the list.
		+
		+
		+	==== Perform an Initial Lifetime Fit on the Selected Regions (ROIs) ====
		+
		+
		+	* In the forth box, "Decay Fitting", from the Fitting Model drop-down list select "n-Exponential Reconvolution Fit".\\
		+
		+	{{ howto:nexpon_fitmodel.png?400 \|}}
		+
		+	Response:\\
		+	In the TCSPC window, the IRF is displayed in bright red, the data fitting limits are moved to the border of the TCSPC window.\\
		+	The new fitting parameters "Shift IRF" and "Bkgr IRF" (=background IRF) appear in the fitting parameter table.\\
		+
		+	Note:\\
		+	The software offers the possibility to fit the data using an n-exponential tailfit, n-exponential reconvolution or rapid reconvolution fit. A tailfit can be used when the fitted lifetimes are significantly longer than the instrument response function. A reconvolution fit is usually preferable, because the complete decay is fitted, while for a tailfit, the start of the fitting range is usually a bit arbitrary. A rapid reconvolution fit is suited, if the image was measured with a very high countrate and a system with a dead time significantly above the pile-up-limit or when the image has been acquired with a repetition rate, which is normally too high for the lifetime of the dye, so that the decay is not at the background level at the end of the decay window. The rapidFLIM-fitting is explained in another tutorial.\\
		+
		+	For explanation about the fitting model and the used equations, click on the "Help" button next to the selected model. This opens a help window containing the fitting equation and the explanation of the different parameters.\\
		+
		+
		+	* From "Decay" drop-down list select ''ROI 0'' and click "Initial Fit" (marked in orange).\\
		+	{{ howto:inner_monoexpo_3.png \|}}
		+
		+	Response:\\
		+	A single exponential reconvolution fit is performed. In the TCSPC window, the fit is displayed as a black line. Below, the residuals (= difference between raw data and fit values) are displayed.\\
		+	* Fit values appear in the fitting table. Check the fitting curve, residuals and χ².\\
		+
		+	Note:\\
		+	Usually, a decent fit is characterized by the following criteria:\\
		+	The fitted curve overlays well with the decay curve. In the residual window, the values spread randomly around 0.\\
		+	The χ²-value approaches 1.\\
		+	The calculated fitting values are reasonable.\\
		+	The fitting model with least parameters is preferred.\\
		+
		+
		+	* In this example it is obvious that the applied single exponential reconvolution fit is not suited to fit the decay curve. Increase the "Model Parameters" to n = 2. Again, click on "Initial fit".\\
		+
		+	{{ howto:inner_biexpo_3.png \|}}
		+
		+
		+	Response:\\
		+	The fit quality increases. But if it still doesn't look sufficient. One sees a trend in residuals and not a random distribution around 0. Increase number of "Model Parameters" to three.\\
		+
		+	{{ howto:inner_3expo_3.png \|}}
		+
		+	* Here the fitting model shows a satisfying result. A 3-exponential fitting model should be used for ROI 0.\\
		+
		+	* Try the last two steps with "ROI 1".\\
		+
		+	{{ howto:tubul_3expo_3.png \|}}
		+
		+
		+	* Find the best fit for "ROI 2" in a same manner. It is better always to start from monoexponential and try to find the fitting model with a lower number of components.\\
		+	{{ howto:nuclei_3expo_3.png \|}}
		+
		+	* Three components exponential decay seems to be suitable for all three ROIs. If all ROIs can be fitted with the same model, you can also click on "Fit All" to get all curves fitted with the same model.\\
		+	* Clicking on "Fit All" will fit all active data sets with the same model, using the start parameters of the active data set. If you do not want to fit the complete decay (dataset 1) and the decay of a single pixel (Dataset 2), press "Show All" button:
		+
		+
		+	{{ howto:showall.png \|}}
		+
		+	* Uncheck the first two datasets on top of the parameter table and press "Fit All" again.
		+
		+	{{ howto:deselectdataset1_3.png \|}}
		+
		+
		+
		+
		+	==== Compare the lifetimes and save results ====
		+
		+
		+
		+
		+	* In order to compare the lifetime of these three compartments, apart from fitting parameter table shown above, you can plot them by selecting the "Parameter Plot" on the right side of TCSPC window.\\
		+
		+	Note:\\
		+	The X-Axes is showing the "Dataset Number" corresponding to the dataset listed in Decay drop-down menu (in Dcay Fitting Panel). This means by default "Overall Decay" and "Pixel (0,0)", and then selected ROIs.\\
		+	For the Y-Axes one can select one or multiple fit parameters.\\
		+
		+	* Tick the "tau_Av_Int" checkbox for Y-Axes and zoom in to be able to see the lifetime differences better.\\
		+	{{ howto:parameterplot_3rois_3.png \|}}
		+
		+
		+
		+	* At the end, click on "Save Result" button in parameter panel.\\
		+
		+
		+	{{ howto:saveresultbutton.png?300 \|}}
		+
		+
		+	Response:\\
		+	A result file "FLIM.pqres" is stored under the raw data file ''Kidney_Cell_FLIM.ptu''.\\
		+
		+	* Later, clicking on the result file reopens the file in the same way as it was stored.

using_the_antibunching_script

Anonymous (anonymous@undisclosed.example.com) — 2014-06-19T07:40:32+00:00

2014/06/19 09:36		current
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	{{tag> antibunching howto tutorial correlation analysis SymPhoTime}}		{{tag> antibunching howto tutorial correlation analysis SymPhoTime}}
-	~~TOC~~	+	~~NOTOC~~

	====== Antibunching Analysis ======		====== Antibunching Analysis ======
Line 9:		Line 9:

	This tutorial shows step-by-step, how to calculate an antibunching curve from a fluorescence time trace of a single emitter, in this example a nanodiamond NV center, excited with a pulsed 530 nm laser.		This tutorial shows step-by-step, how to calculate an antibunching curve from a fluorescence time trace of a single emitter, in this example a nanodiamond NV center, excited with a pulsed 530 nm laser.
		+
		+	{{ youtube>bEyhuWnmFC4?large }}

	===== Background Information =====		===== Background Information =====
Line 77:		Line 79:

	* Here it is impossible to determine the number of emitters. In this measurement the luminescence stems from several emitters.		* Here it is impossible to determine the number of emitters. In this measurement the luminescence stems from several emitters.
-

fluorescence_correlation_spectroscopy-_a_short_introduction

Anonymous (anonymous@undisclosed.example.com) — 2024-10-11T08:30:57+00:00

2023/02/17 13:43		current
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	{{tag>MicroTime LSM Theory SymPhoTime FCS Correlation}}		{{tag>MicroTime LSM Theory SymPhoTime FCS Correlation}}

-	~~TOC~~	+

	====== Introduction to Fluorescence Correlation Spectroscopy ======		====== Introduction to Fluorescence Correlation Spectroscopy ======

video_tutorials

Anonymous (anonymous@undisclosed.example.com) — 2014-11-17T16:36:53+00:00

2014/06/18 12:02		current
Line 31:		Line 31:
	[[http://www.ibiology.org/ibioseminars/techniques/kurt-thorn-part-1.html]]		[[http://www.ibiology.org/ibioseminars/techniques/kurt-thorn-part-1.html]]

-	=== Kurt Thorn: Two Photon Microscopy ===	+	==== Kurt Thorn: Two Photon Microscopy ====
	Kurt Thorn of UCSF talks about two-photon microscopy which uses intense pulsed lasers to image deep into biological samples. It can be used for imaging thick tissue specimens or even imaging inside of live animals.		Kurt Thorn of UCSF talks about two-photon microscopy which uses intense pulsed lasers to image deep into biological samples. It can be used for imaging thick tissue specimens or even imaging inside of live animals.

Line 39:		Line 39:


-	=== Philippe Bastiaens: Fluorescence Lifetime Microscopy (FLIM) ===	+	==== Philippe Bastiaens: Fluorescence Lifetime Microscopy (FLIM) ====
	Fluorescence-lifetime imaging microscopy or [[glossary:flim\|FLIM]] is an imaging technique for producing an image based on the differences in the exponential decay rate of the fluorescence from a fluorescent sample. It can be used as an imaging technique in confocal microscopy, two-photon excitation microscopy, and multiphoton tomography.		Fluorescence-lifetime imaging microscopy or [[glossary:flim\|FLIM]] is an imaging technique for producing an image based on the differences in the exponential decay rate of the fluorescence from a fluorescent sample. It can be used as an imaging technique in confocal microscopy, two-photon excitation microscopy, and multiphoton tomography.
	The lifetime of the fluorophore signal, rather than its intensity, is used to create the image in FLIM. This has the advantage of minimizing the effect of photon scattering in thick layers of sample ([[wp>Fluorescence-lifetime_imaging_microscopy \| FLIM]]).		The lifetime of the fluorophore signal, rather than its intensity, is used to create the image in FLIM. This has the advantage of minimizing the effect of photon scattering in thick layers of sample ([[wp>Fluorescence-lifetime_imaging_microscopy \| FLIM]]).

t3r_antibunching_-_slow_decay

Anonymous (anonymous@undisclosed.example.com) — 2022-02-01T11:32:53+00:00

2022/02/01 11:54		current
Line 7:		Line 7:

	==== A decay caused by correlation statistics ====		==== A decay caused by correlation statistics ====
		+
		+	[{{howto:slope.png ?478x300\|Fig. 1: Baseline decay }}]
		+
	This decay is caused by correlation statistics. This happens because you correlate the first arriving photon against a photon at the longer time, which will be an increasingly unlikely event because the earliest stop photons always win and the experiment restarts.		This decay is caused by correlation statistics. This happens because you correlate the first arriving photon against a photon at the longer time, which will be an increasingly unlikely event because the earliest stop photons always win and the experiment restarts.

-	I attached a simulation.	+	A simulation with 90ns dead-time period:

-	[{{howto:logf.png?320x240\|Fig. 1: Logfile logf.png }}]	+	[{{howto:logf.png?320x240\|Fig. 2: Simulation }}]

flim-fret_calculation_for_single_exponential_donors

Anonymous (anonymous@undisclosed.example.com) — 2020-05-06T09:38:57+00:00

2020/05/06 11:19		current
Line 85:		Line 85:

	Response: In the image, only pixels with higher photon counts are highlighted. Adapt the intensity maximum to see the highlighted pixels more clearly.		Response: In the image, only pixels with higher photon counts are highlighted. Adapt the intensity maximum to see the highlighted pixels more clearly.
-	{{ :howto:flim-fret-1expd_roi_from_thresh_2_v2.png?400 \|}}	+	{{ :howto:flim-fret-1expd_roi_from_thresh_2_v3.png?400 \|}}

	* In the lifetime fitting panel, keep the default Fitting model "Mono-Exp. Donor".		* In the lifetime fitting panel, keep the default Fitting model "Mono-Exp. Donor".

measurement_hardware_instrumentation

Anonymous (anonymous@undisclosed.example.com) — 2018-06-25T07:18:07+00:00

2018/06/25 09:17		current
Line 32:		Line 32:
	[[video_tutorials#Kurt Thorn: Optical Sectioning and Confocal Microscopy\|Confocal microscoy and optical sectioning by Kurt Thorn]]		[[video_tutorials#Kurt Thorn: Optical Sectioning and Confocal Microscopy\|Confocal microscoy and optical sectioning by Kurt Thorn]]

-	[[technical docs:Beampath of the Zeiss LSM880]]	+	[[Beampath of the Zeiss LSM880]]

	[[howto:check_overlap_of_different_color_confocal_volumes\|How to check the overlap of different color confocal volumes]]		[[howto:check_overlap_of_different_color_confocal_volumes\|How to check the overlap of different color confocal volumes]]

tttr

Anonymous (anonymous@undisclosed.example.com) — 2015-02-10T16:42:50+00:00

2015/02/10 17:42		current
Line 6:		Line 6:
	The [[Products:TimeHarp 200]] (also the [[Products:TimeHarp 100]]), the [[Products:PicoHarp 300]] [[Products:HydraHarp 400]] support TTTR mode measurements. With the the [[Products:PicoHarp 300]] a slight shift in the nomenclature was introduced. Due to its capability of simultaneously recording both signal inputs (in interactive mode used as 'Start' and 'Stop') as two separate TTTR traces with a time resolution of 4ps, a new TTTR mode was introduced, the so called T2-mode. The traditional recording as with the [[Products:TimeHarp 200]] / [[Products:TimeHarp 100]] is called [[T3-mode]]. In [[T2-mode]] both signal inputs are functionally identical.		The [[Products:TimeHarp 200]] (also the [[Products:TimeHarp 100]]), the [[Products:PicoHarp 300]] [[Products:HydraHarp 400]] support TTTR mode measurements. With the the [[Products:PicoHarp 300]] a slight shift in the nomenclature was introduced. Due to its capability of simultaneously recording both signal inputs (in interactive mode used as 'Start' and 'Stop') as two separate TTTR traces with a time resolution of 4ps, a new TTTR mode was introduced, the so called T2-mode. The traditional recording as with the [[Products:TimeHarp 200]] / [[Products:TimeHarp 100]] is called [[T3-mode]]. In [[T2-mode]] both signal inputs are functionally identical.

-	Today recording of [[glossary:T3-mode]] and T2 mode files is possible with all recent PicoQuant TCSPC devices ([[Products:TimeHarp 260]], [[Products:PicoHarp 300]] and [[Products:HydraHarp 400]] and their included software, analysis is supported mainly by the [[software:SymPhoTime]] software package.	+	Today recording of [[glossary:T3-mode]] and [[glossary:T2-mode]] files is possible with all recent PicoQuant TCSPC devices ([[Products:TimeHarp 260]], [[Products:PicoHarp 300]] and [[Products:HydraHarp 400]] and their included software, analysis is supported mainly by the [[software:SymPhoTime]] software package.

	Due to its capability of including external TTL pulses as markers in the stream of photon events TTTR mode is suitable for [[FLIM]] measurements. The markers are used to synchronise the photon events with a scanning process allowing to sort the photons into image pixels.		Due to its capability of including external TTL pulses as markers in the stream of photon events TTTR mode is suitable for [[FLIM]] measurements. The markers are used to synchronise the photon events with a scanning process allowing to sort the photons into image pixels.

calculate_ratiometric_single_pair_fret_distributions_using_the_pie-fret_script

Anonymous (anonymous@undisclosed.example.com) — 2015-11-03T14:12:40+00:00

2014/06/18 18:06		current
Line 15:		Line 15:
	Note: The script requires a time trace containing the fluorescence of two spectrally separated channels, one channel mainly detecting the fluorescence of the donor dye and the other channel detecting mainly the fluorescence of the acceptor dye.\\		Note: The script requires a time trace containing the fluorescence of two spectrally separated channels, one channel mainly detecting the fluorescence of the donor dye and the other channel detecting mainly the fluorescence of the acceptor dye.\\
	The time traces can be acquired from single molecule events in a diluted solution, where the passages of single molecules are registered as "bursts". Alternatively, traces obtained from a stationary single FRET pair can be analyzed, e.g. to observe conformational changes.\\		The time traces can be acquired from single molecule events in a diluted solution, where the passages of single molecules are registered as "bursts". Alternatively, traces obtained from a stationary single FRET pair can be analyzed, e.g. to observe conformational changes.\\
-	To record such traces, usually single molecule sensitive detectors as [[glossary:spad\|SPAD]] or Hybrid-PMA are necessary to successfully detect single molecule fluorescence.\\	+	To record such traces, usually single molecule sensitive detectors as [[glossary:spad\|SPAD]] or [[glossary: Hybrid PMT]]s are necessary to successfully detect single molecule fluorescence.\\
	For the pulsed interleaved excitation ([[glossary:pie\|PIE]]) analysis of the script, pulsed excitation using two lasers is required, one laser exciting the donor, the other the acceptor dye. Usually, this is achieved using the multichannel laser driver PDL828 “Sepia II” in combination with two pulsed diode lasers.		For the pulsed interleaved excitation ([[glossary:pie\|PIE]]) analysis of the script, pulsed excitation using two lasers is required, one laser exciting the donor, the other the acceptor dye. Usually, this is achieved using the multichannel laser driver PDL828 “Sepia II” in combination with two pulsed diode lasers.

create_time_gated_image

Anonymous (anonymous@undisclosed.example.com) — 2020-10-14T12:10:44+00:00

2020/10/14 14:10		current
Line 1:		Line 1:
-	//{{tag>howto analysis lifetime tutorial SymPhoTime}}//	+	{{tag>howto analysis lifetime tutorial SymPhoTime}}

	~~NOTOC~~		~~NOTOC~~

calculate_and_fit_fcs_traces_with_the_fcs_script

Anonymous (anonymous@undisclosed.example.com) — 2015-11-03T14:11:17+00:00

2014/06/18 11:22		current
Line 17:		Line 17:
	* The diffusion coefficient of ATTO488 carboxilic acid has been measured to be 400 µm²/s at 25°C. Published diffusion coefficients of various fluorophores are summarized in the Technical Note "Absolute Diffusion Coefficients: Compilation of Reference Data for FCS Calibration" available from PicoQuant [see http://www.picoquant.com/images/uploads/page/files/7353/appnote_diffusioncoefficients.pdf ]. This list is extensive, but does not claim to be complete.		* The diffusion coefficient of ATTO488 carboxilic acid has been measured to be 400 µm²/s at 25°C. Published diffusion coefficients of various fluorophores are summarized in the Technical Note "Absolute Diffusion Coefficients: Compilation of Reference Data for FCS Calibration" available from PicoQuant [see http://www.picoquant.com/images/uploads/page/files/7353/appnote_diffusioncoefficients.pdf ]. This list is extensive, but does not claim to be complete.
	* Note that the diffusion coefficients of all dyes are temperature dependent.		* Note that the diffusion coefficients of all dyes are temperature dependent.
-	* FCS measurements are usually point measurements acquired with very sensitive detectors (typically SPAD or Hybrid PMT detectors).	+	* FCS measurements are usually point measurements acquired with very sensitive detectors (typically [[glossary:SPAD]] or [[glossary:Hybrid PMT]] detectors).
	* FCS is a technique that can be used over a wide range of concentrations, but ideal FCS concentrations are usually between 1 nM and 20 nM.		* FCS is a technique that can be used over a wide range of concentrations, but ideal FCS concentrations are usually between 1 nM and 20 nM.

Line 65:		Line 65:
	{{ calculate_and_fit_fcs_traces_with_the_fcs_script_Image_7.png?600 }}		{{ calculate_and_fit_fcs_traces_with_the_fcs_script_Image_7.png?600 }}

-	Note: A possibility to remove the afterpulsing when working with cw excitation is splitting the light onto two detectors and calculate a cross correlation. Some detectors (mainly Hybrid PMTs) also have so low afterpulsing that the problem does not occur.	+	Note: A possibility to remove the afterpulsing when working with cw excitation is splitting the light onto two detectors and calculate a cross correlation. Some detectors (mainly [[glossary:Hybrid PMT]]s) also have so low afterpulsing that the problem does not occur.

	* If the sample has beenexcited with cw light, we would now save the data by clicking "Save Result" and press afterwards "Transfer to Fit" (both in the "File" dropdown panel). As our sample has been excited with a pulsed laser, we can apply one additional step to increase data quality.		* If the sample has beenexcited with cw light, we would now save the data by clicking "Save Result" and press afterwards "Transfer to Fit" (both in the "File" dropdown panel). As our sample has been excited with a pulsed laser, we can apply one additional step to increase data quality.

dead_time

Anonymous (anonymous@undisclosed.example.com) — 2015-06-03T15:04:41+00:00

2015/06/03 17:04		current
Line 2:		Line 2:
	In TCSPC the term dead time refers to the time the TCSPC system needs armed again after detecting an event. During the dead time the TCSPC system is blind.		In TCSPC the term dead time refers to the time the TCSPC system needs armed again after detecting an event. During the dead time the TCSPC system is blind.

-	If for example two photons are detected with the dead time of the TCSPC device the second photon will be lost. This leads to the so called [[glossary:Pile Up Effect]].	+	If for example two photons are detected with the dead time of the TCSPC device the second photon will be lost. This leads to the so called [[glossary:Pile-up Effect]].

	Note that not only TCSPC devices but also photon counting devices exhibit dead times.		Note that not only TCSPC devices but also photon counting devices exhibit dead times.

tcspc

Anonymous (anonymous@undisclosed.example.com) — 2014-01-28T13:06:31+00:00

2014/01/28 14:06		current
Line 1:		Line 1:
	====== TCSPC ======		====== TCSPC ======

-	TCSPC stands for Time Correlated Single Photon Counting: A stream of photons is recorded, each photon with respect to a (often periodical) signal, e.g. a repeated laser pulse. The single photon events are sorted into histogram channels that correspond to the time that elapsed since the last excitation pulse. It is a time domain method of investigating time resolved fluorescence.	+	TCSPC stands for Time Correlated Single Photon Counting: A stream of photons is recorded, each photon with respect to a (often periodical) signal, e.g. a repeated laser pulse. The single photon events are sorted into histogram channels that correspond to the time that elapsed since the last excitation pulse. It is a time domain method for investigating time resolved fluorescence.

burst_duration_and_fcs_diffusion_time

Anonymous (anonymous@undisclosed.example.com) — 2026-01-12T14:58:02+00:00

2026/01/12 15:56		current
Line 346:		Line 346:
	Gopich, I. V.; Szabo, A. Journal of Chemical Physics 2005, 122, 014707.		Gopich, I. V.; Szabo, A. Journal of Chemical Physics 2005, 122, 014707.

-	Ruttinger, S. Dissertation, 2006.	+	Ruettinger, S. Dissertation, 2006.

-	Dorr, D. Dissertation, 2014.	+	Doerr, D. Dissertation, 2014.

calibrate_the_confocal_volume_for_fcs_using_the_fcs_calibration_script

Anonymous (anonymous@undisclosed.example.com) — 2019-02-07T12:16:52+00:00

2019/02/07 13:13		current
Line 17:		Line 17:
	Note: Calibration is a necessary task for FCS measurements. In a calibration procedure, the confocal volume VEff as well as the structural parameter κ (the ratio of z to xy extension) is determined using a reference dye. This is the prerequisite to determine correct diffusion coefficients and concentrations for the sample of interest.\\		Note: Calibration is a necessary task for FCS measurements. In a calibration procedure, the confocal volume VEff as well as the structural parameter κ (the ratio of z to xy extension) is determined using a reference dye. This is the prerequisite to determine correct diffusion coefficients and concentrations for the sample of interest.\\
	ATTO488 (ATTO-Tec, Germany) is a suited dye to calibrate the confocal microscope at ~470 – 490 nm excitation and detection around 500 – 540 nm.\\		ATTO488 (ATTO-Tec, Germany) is a suited dye to calibrate the confocal microscope at ~470 – 490 nm excitation and detection around 500 – 540 nm.\\
-	The diffusion coefficient of ATTO488 carboxilic acid has been measured to be 400 µm²/s at 25°C. Published diffusion coefficients of various fluorophores are summarized in the Technical Note "Absolute Diffusion Coefficients: Compilation of Reference Data for FCS Calibration" available from PicoQuant [see [[https://www.picoquant.com/images/uploads/page/files/7353/appnote_diffusioncoefficients.pdf]]]. This list is extensive, but does not claim to be complete.\\	+	The diffusion coefficient of ATTO488 carboxilic acid has been measured to be 400 µm²/s at 25°C. Published diffusion coefficients of various fluorophores are summarized in the Technical Note "Absolute Diffusion Coefficients: Compilation of Reference Data for FCS Calibration" available from PicoQuant (see [[https://www.picoquant.com/images/uploads/page/files/7353/appnote_diffusioncoefficients.pdf]]). This list is extensive, but does not claim to be complete.\\
	Note that the diffusion coefficients of all dyes are temperature dependent.\\		Note that the diffusion coefficients of all dyes are temperature dependent.\\
	FCS measurements are usually point measurements acquired with very sensitive detectors ([[glossary:spad\|SPAD]] or [[glossary:Hybrid PMT]] detectors).\\		FCS measurements are usually point measurements acquired with very sensitive detectors ([[glossary:spad\|SPAD]] or [[glossary:Hybrid PMT]] detectors).\\

calculate_ratiometric_single_pair_fret_distributions

Anonymous (anonymous@undisclosed.example.com) — 2015-11-03T14:17:54+00:00

2014/06/18 17:56		current
Line 15:		Line 15:
	Note: The script requires a time trace containing the fluorescence of two spectrally separated channels, one channel mainly detecting the fluorescence of the donor dye and the other channel detecting mainly the fluorescence of the acceptor dye.\\		Note: The script requires a time trace containing the fluorescence of two spectrally separated channels, one channel mainly detecting the fluorescence of the donor dye and the other channel detecting mainly the fluorescence of the acceptor dye.\\
	The time traces can be acquired from single molecule events in a diluted solution, where the passages of single molecules are registered as "bursts". Alternatively, traces obtained from a stationary single FRET pair can be analyzed, e.g. to observe conformational changes.\\		The time traces can be acquired from single molecule events in a diluted solution, where the passages of single molecules are registered as "bursts". Alternatively, traces obtained from a stationary single FRET pair can be analyzed, e.g. to observe conformational changes.\\
-	To record such traces, usually single molecule sensitive detectors as SPAD or Hybrid PMA are necessary to successfully detect single molecule fluorescence.\\	+	To record such traces, usually single molecule sensitive detectors as [[glossary:SPAD]] or [[glossary:Hybrid PMT]]s are necessary to successfully detect single molecule fluorescence.\\

	\\		\\

separation_of_2_species_with

Anonymous (anonymous@undisclosed.example.com) — 2014-06-18T12:22:45+00:00

2014/06/18 12:57		current
Line 1:		Line 1:
	{{tag> howto tutorial FCS FLCS analysis SymPhoTime}}		{{tag> howto tutorial FCS FLCS analysis SymPhoTime}}

-	~~TOC~~	+	~~NOTOC~~

	====== Separation of 2 Species with Different Lifetimes Using FLCS ======		====== Separation of 2 Species with Different Lifetimes Using FLCS ======
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	This tutorial shows step-by-step, how the FLCS analysis can be used to calculate separate autocorrelation curves for the two components of a mixture of ATTO655 and Cy5 based on their different lifetimes.		This tutorial shows step-by-step, how the FLCS analysis can be used to calculate separate autocorrelation curves for the two components of a mixture of ATTO655 and Cy5 based on their different lifetimes.

		+	{{ youtube>xx-WzT5TgqA?large }}

	===== Background Information =====		===== Background Information =====
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	* Click on "Save result" to save this curve. Rename the generated file as "Cy5-FLCS".		* Click on "Save result" to save this curve. Rename the generated file as "Cy5-FLCS".
	* These curves can now be fitted by selecting "Transfer to fit". The process of how to fit a FCS curve is explained in the tutorial [[howto:Calculate and Fit FCS Traces with the FCS Script]].		* These curves can now be fitted by selecting "Transfer to fit". The process of how to fit a FCS curve is explained in the tutorial [[howto:Calculate and Fit FCS Traces with the FCS Script]].
-

avoid_pile_up_effect_in_flim_measurements

Anonymous (anonymous@undisclosed.example.com) — 2015-06-03T15:11:25+00:00

2015/03/26 13:10		current
Line 41:		Line 41:
	* Determine the number of photons via the data reader (right mouse click) in a very bright pixel within the FastFLIM image		* Determine the number of photons via the data reader (right mouse click) in a very bright pixel within the FastFLIM image
	* Calculate the count rate for this bright pixel: Divide the number of photons per pixel by the exposure time per pixel		* Calculate the count rate for this bright pixel: Divide the number of photons per pixel by the exposure time per pixel
		+
		+	===== Differential Count Rate =====
		+	see [[glossary:Differential Count Rate]]

hybrid_pmt

Anonymous (anonymous@undisclosed.example.com) — 2015-11-03T15:00:37+00:00

2015/11/03 15:59		current
Line 3:		Line 3:
	"The hybrid photodetector's structure is similar yet different from a conventional PMT. Like PMTs, the HPD is a vacuum tube with a photocathode that detects light, an electron multiplier that multiplies electrons, and an output terminal that outputs an electrical signal. But unlike PMTs which use multiple dynodes as electron multipliers, the HPD uses a silicon avalanche diode (AD) instead"((continue reading on the [[http://www.hamamatsu.com/us/en/community/optical_sensors/tutorials/what_is_hpd/index.html\|Hamamatsu]] website.))		"The hybrid photodetector's structure is similar yet different from a conventional PMT. Like PMTs, the HPD is a vacuum tube with a photocathode that detects light, an electron multiplier that multiplies electrons, and an output terminal that outputs an electrical signal. But unlike PMTs which use multiple dynodes as electron multipliers, the HPD uses a silicon avalanche diode (AD) instead"((continue reading on the [[http://www.hamamatsu.com/us/en/community/optical_sensors/tutorials/what_is_hpd/index.html\|Hamamatsu]] website.))

-	PicoQuant integrates various Hybrid PMT tubes into a convenient assembly called [[https://www.picoquant.com/products/category/photon-counting-detectors/pma-hybrid-series-hybrid-photomultiplier-detector-assembly\|PMA Hybrid]].	+	PicoQuant integrates Hybrid PMT tubes into a convenient assembly called [[https://www.picoquant.com/products/category/photon-counting-detectors/pma-hybrid-series-hybrid-photomultiplier-detector-assembly\|PMA Hybrid]].

	The PMA Hybrid is a compact single photon sensitive detector based on a fast hybrid photomultiplier tube with peltier cooler to reduce the dark count rate. The detector includes a high voltage power supply and pre-amplifier with overload protection and emergency shut down procedure if the detector count rate reaches a critical limit.		The PMA Hybrid is a compact single photon sensitive detector based on a fast hybrid photomultiplier tube with peltier cooler to reduce the dark count rate. The detector includes a high voltage power supply and pre-amplifier with overload protection and emergency shut down procedure if the detector count rate reaches a critical limit.

intensity_time_trace_analysis

Anonymous (anonymous@undisclosed.example.com) — 2014-06-19T08:12:32+00:00

2014/06/19 10:12		current
Line 1:		Line 1:
	{{tag> tutorial howto time-trace analysis SymPhoTime}}		{{tag> tutorial howto time-trace analysis SymPhoTime}}

-	~~TOC~~	+	~~NOTOC~~

	======Intensity Time Trace Analysis======		======Intensity Time Trace Analysis======

mcp

Anonymous (anonymous@undisclosed.example.com) — 2015-11-03T13:27:59+00:00

2013/08/05 13:45		current
Line 1:		Line 1:
	====== MCP ======		====== MCP ======

-	Microchannel Plate PMT (MCP)	+	Microchannel Plate [[PMT]] (MCP)

-	A microchannel plate PMT is a sensitive photon detector. It consists of an array of glass capillaries (10-25 μm inner diameter) that are coated on the inside with a electron-emissive material. The capillaries are biased at a high voltage. Like in the PMT, an electron that strikes the inside wall of one of the capillaries creates an avalanche of secondary electrons. This cascading effect creates a gain of 103 to 106 and produces a current pulse at the output. The timing jitter of MCPs is sufficiently small to perform time-resolved photon counting on a sub-nanosecond- scale, usually outperforming PMTs. Good but also expensive MCPs can achieve timing uncertainties as low as 20ps. Microchannel plates are also used as an intensifier for low-intensity light detection with array detectors.	+	A microchannel plate [[PMT]] is a sensitive photon detector. It consists of an array of glass capillaries (10-25 μm inner diameter) that are coated on the inside with a electron-emissive material. The capillaries are biased at a high voltage. Like in the PMT, an electron that strikes the inside wall of one of the capillaries creates an avalanche of secondary electrons. This cascading effect creates a gain of 103 to 106 and produces a current pulse at the output. The timing jitter of MCPs is sufficiently small to perform time-resolved photon counting on a sub-nanosecond- scale, usually outperforming PMTs. Good but also expensive MCPs can achieve timing uncertainties as low as 20ps. Microchannel plates are also used as an intensifier for low-intensity light detection with array detectors.

synchrotron_applications

Anonymous (anonymous@undisclosed.example.com) — 2017-05-17T08:31:53+00:00

2015/02/10 17:36		current
Line 9:		Line 9:
	* A cython library to access the original's manufacturer library from python and in a pythonic way,		* A cython library to access the original's manufacturer library from python and in a pythonic way,
	* An agent in the [[https://www.tango-controls.org/\|Tango distributed control system]] that manage the instrument,		* An agent in the [[https://www.tango-controls.org/\|Tango distributed control system]] that manage the instrument,
-	* A [[http://taurus-scada.org/\|Taurus gui]] with access to the instrument from the control system	+	* A [[http://taurus-scada.org/\|Taurus GUI]] with access to the instrument from the control system

	There is a development now for another agent in the DCS to process the histogram given by the PicoHarp300 instrument to have the distribution mention before.		There is a development now for another agent in the DCS to process the histogram given by the PicoHarp300 instrument to have the distribution mention before.

	Please check [[http://www.picoquant.com/applications/category/metrology/bunch-purity-measurements]] for other Synchrotron-related applications.		Please check [[http://www.picoquant.com/applications/category/metrology/bunch-purity-measurements]] for other Synchrotron-related applications.

poisson_distribution

Anonymous (anonymous@undisclosed.example.com) — 2014-04-09T20:47:01+00:00

2014/04/09 22:46		current
Line 6:		Line 6:
	$$P_{\nu}(n)={{\nu^n~e^{-\nu}}\over{n!}}$$		$$P_{\nu}(n)={{\nu^n~e^{-\nu}}\over{n!}}$$

-	The Poisson distribution is of interest especially for [[TCSPC]]: The expected number of photons in any TCSPC channel is given by the 'real' decay (including convolution with the IRF etc.), while the stochastic nature of the measurement process (either a photon is detected or it is not) introduces noise, which follows a Poisson distribution. In the limit of large ${\nu}^{}_{}$ the Poisson distribution approaches a [[Gaussian distribution]] with a width of $\sqrt{\nu}$ centred around ${\nu}^{}_{}$.	+	The Poisson distribution is of interest especially for [[TCSPC]]: The expected number of photons in any TCSPC channel is given by the 'real' decay (including convolution with the IRF etc.), while the stochastic nature of the measurement process (either a photon is detected or it is not) introduces noise, which follows a Poisson distribution. In the limit of large ${\nu}^{}_{}$ the Poisson distribution approaches a [[wp>Normal_distribution\|Gaussian distribution]] with a width of $\sqrt{\nu}$ centred around ${\nu}^{}_{}$.

	In the Gaussian limit [[least squares]] [[wp>Regression_analysis\|fitting]] may be applied, otherwise [[MLE]] [[wp>Regression_analysis\|fitting]] is preferable.		In the Gaussian limit [[least squares]] [[wp>Regression_analysis\|fitting]] may be applied, otherwise [[MLE]] [[wp>Regression_analysis\|fitting]] is preferable.

mcs

Anonymous (anonymous@undisclosed.example.com) — 2014-01-21T16:39:04+00:00

2014/01/21 17:38		current
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	====== MCS ======		====== MCS ======

-	MCS stands for Multi Channel Scaler. At PQ this term is used in the following context: Single photon events, as originating from a [[TTTR]] measurement are sorted by means of their macroscopic time into equally spaced time bins. What immediately results is a time trace of the fluorescence intensity. In a subsequent analysis the binned ensemble of photons can be used to form [[TCSPC]] histograms, which in turn can be used for lifetime analysis, time-gated analysis etc.	+	MCS stands for Multi Channel Scaler. At PicoQuant this term is used in the following context: Single photon events, as originating from a [[TTTR]] measurement are sorted by means of their macroscopic time into equally spaced time bins. What immediately results is a time trace of the fluorescence intensity. In a subsequent analysis the binned ensemble of photons can be used to form [[TCSPC]] histograms, which in turn can be used for lifetime analysis, time-gated analysis etc.

calculate_fccs_trace_with_the_grouped_fcs_script

Anonymous (anonymous@undisclosed.example.com) — 2020-04-01T15:05:26+00:00

2015/02/25 15:01		current
Line 2:		Line 2:
	~~NOTOC~~		~~NOTOC~~

-	====== Calculate Multiple FCCS Traces with the Grouped FCS Script ======	+	====== Calculate FCCS Traces with the Grouped FCS Script ======

	===== Summary =====		===== Summary =====

how_to_measure_the_instrument_response_function_irf

Anonymous (anonymous@undisclosed.example.com) — 2023-09-07T22:55:03+00:00

2023/09/08 00:54		current
Line 22:		Line 22:
	===== Using samples with ultrafast decay =====		===== Using samples with ultrafast decay =====

-	Some detectors (particularly SPADs) have wavelength dependent timing response. In this case an IRF recorded at the excitation wavelength may not be useful for precise reconvolution. The solution is to acquire the IRF at the fluorescence wavelength, or at least spectrally closer to the fluorescence emission.	+	Some detectors (particularly MPD SPADs) have a wavelength dependent timing response. In this case an IRF recorded at the excitation wavelength may not be useful for precise reconvolution. The solution is to acquire the IRF at the fluorescence wavelength, or at least spectrally closer to the fluorescence emission wavelength.

	==== General recipe ====		==== General recipe ====

calculate_ratiometric_fret-images

Anonymous (anonymous@undisclosed.example.com) — 2015-02-25T14:00:57+00:00

2014/06/18 11:24		current
Line 3:		Line 3:
	~~NOTOC~~		~~NOTOC~~

-	====== Calculate ratiometric FRET-Images ======	+	====== Calculate Ratiometric FRET Images ======

using_the_anisotropy_image_script

Anonymous (anonymous@undisclosed.example.com) — 2018-04-12T11:44:14+00:00

2018/04/12 12:26		current
Line 52:		Line 52:

	Note:		Note:
-	The anisotropy values can theoretically spread between -0.5 and 1 for parallel or vertical excitation and emission dipoles respectively. The anisotropy value of 0 is expected in case of very fast rotation or extremely efficient energy transfer processes (e.g. efficient HOMO-FRET). When measuring a randomly aligned ensemble due to photoselection the anisotropy varies with in the limits of -0.2 and 0.4 instead of -0.5 and 1.	+	The anisotropy values can theoretically spread between -0.5 and 1 for perpendicular and parallel excitation and emission dipoles respectively. The anisotropy value of 0 is expected in case of very fast rotation or extremely efficient energy transfer processes (e.g. efficient HOMO-FRET). When measuring a randomly aligned ensemble due to photoselection the anisotropy varies with in the limits of -0.2 and 0.4 instead of -0.5 and 1.

	==== Adapt the script to the image and the system parameters ====		==== Adapt the script to the image and the system parameters ====

picoharp_300

Anonymous (anonymous@undisclosed.example.com) — 2015-02-10T16:55:34+00:00

2015/02/10 17:55		current
Line 7:		Line 7:

	===== Software =====		===== Software =====
-	Like all PicoQuant TCSPC devices the PicoHarp 300 comes with dedicated software for acquisition of [[glossary:T3-data]] and [[glossary:T2-data]].	+	Like all PicoQuant TCSPC devices the PicoHarp 300 comes with dedicated software for acquisition of [[glossary:T3-mode]] and [[glossary:T2-mode]] data.

	A library for custom written software as well as systems software for FLIM and FCS is available as an option. A Compilation of different software options can be found [[:Software\|here]].		A library for custom written software as well as systems software for FLIM and FCS is available as an option. A Compilation of different software options can be found [[:Software\|here]].

hydraharp_400

Anonymous (anonymous@undisclosed.example.com) — 2015-09-23T11:43:51+00:00

2015/09/23 13:43		current
Line 3:		Line 3:
	The HydraHarp 400 is a high-end, easy to use, plug and play Time Interval Analyzer (TIA) and Time-Correlated Single Photon Counting (TCSPC) system with scalability for multiple channels. It is connected to a PC through a USB 3.0 high speed interface.		The HydraHarp 400 is a high-end, easy to use, plug and play Time Interval Analyzer (TIA) and Time-Correlated Single Photon Counting (TCSPC) system with scalability for multiple channels. It is connected to a PC through a USB 3.0 high speed interface.

-	See [[http://www.picoquant.com/products/category/tcspc-and-time-tagging-modules/hydraharp-400-multichannel-picosecond-event-timer-tcspc-module\|here]] for more information	+	See the [[http://www.picoquant.com/products/category/tcspc-and-time-tagging-modules/hydraharp-400-multichannel-picosecond-event-timer-tcspc-module\|picoquant.com website]] for more information.

	===== Software =====		===== Software =====

microtime

Anonymous (anonymous@undisclosed.example.com) — 2015-11-03T14:24:05+00:00

2015/11/03 15:23		current
Line 19:		Line 19:
	* Turn-key diode lasers for multicolor excitation from 375 nm to 900 nm		* Turn-key diode lasers for multicolor excitation from 375 nm to 900 nm
	* Up to 4 truly parallel detection channels using application-optimized detection with [[glossary:SPAD]]s, [[glossary:PMT]]s or [[glossary:Hybrid PMT]]s		* Up to 4 truly parallel detection channels using application-optimized detection with [[glossary:SPAD]]s, [[glossary:PMT]]s or [[glossary:Hybrid PMT]]s
-	* Time-Correlated-Single Photon Counting ([[glossary:TCSPC]]) and [[glossary:TTTR]] mode for investigation of fast dynamics in FCS and FLIM	+	* Time-Correlated-Single Photon Counting ([[glossary:TCSPC]]) and [[glossary:TTTR]] mode for investigation of fast dynamics in [[glossary:FCS]] and [[glossary:FLIM]]
	* Piezo scanning for 2D- and 3D-lifetime imaging and accurate point positioning		* Piezo scanning for 2D- and 3D-lifetime imaging and accurate point positioning
	* Two optional exit ports for additional hardware, e.g. spectrographs		* Two optional exit ports for additional hardware, e.g. spectrographs

spad

Anonymous (anonymous@undisclosed.example.com) — 2017-05-17T08:37:15+00:00

2013/08/06 16:53		current
Line 3:		Line 3:
	SPAD means Single Photon counting Avalanche photo-Diode. It stands commonly for a complete module including an Avalanche Photodiode, working temporary above the breakdown voltage in reverse bias. One photon may trigger the avalanche process and generates a time-corresponding electrical pulse. The avalanche must be "quenched" in order to prevent destructive current flow. This is achieved by passive or active quenching circuits. Passive quenching requires basically just a resistor but is slow and causes longer deadtimes. Active quenching is standard for all modules used by PicoQuant.		SPAD means Single Photon counting Avalanche photo-Diode. It stands commonly for a complete module including an Avalanche Photodiode, working temporary above the breakdown voltage in reverse bias. One photon may trigger the avalanche process and generates a time-corresponding electrical pulse. The avalanche must be "quenched" in order to prevent destructive current flow. This is achieved by passive or active quenching circuits. Passive quenching requires basically just a resistor but is slow and causes longer deadtimes. Active quenching is standard for all modules used by PicoQuant.

-	/*
-	[[Howto:How to unmount a SPAD from the MT200]]
-	*/

t2-mode

Anonymous (anonymous@undisclosed.example.com) — 2015-02-10T16:24:41+00:00

2015/02/10 17:22		current
Line 1:		Line 1:
	====== T2-mode ======		====== T2-mode ======

-	A special measurement mode of the [[Products:PicoHarp 300]]	+	A special measurement mode of the [[Products:PicoHarp 300]], [[Products:HydraHarp 400]] and [[Products:TimeHarp 260]]


Line 7:		Line 7:
	In T2 Mode both signal inputs of the PicoHarp 300 are functionally identical. There is no dedication of input channel 0 to a [[SYNC]] signal. Usually both inputs are used to connect photon detectors. The events from both channels are recorded independently and treated equally. In each case an event record is generated that contains information about the channel it came from and the arrival time of the event with respect to the overall measurement start. The timing is recorded with 4 ps resolution. Each T2 Mode event record consists of 32 bits. There are 4 bits for the channel number and 28 bits for the time-tag. Routing is not supported. If the time tag overflows, a special overflow marker record is inserted in the data stream, so that upon processing of the data stream a theoretically infinite time span can be recovered at full resolution. [[Dead time]]s exist only within each channel (95 ns typ.) but not across the channels. Therefore, cross correlations can be calculated down to zero lag time. This allows powerful new application such as [[FCS]] with lag times from picoseconds to hours. Autocorrelations can also be calculated at the full resolution but of course only starting from lag times larger than the [[dead time]].		In T2 Mode both signal inputs of the PicoHarp 300 are functionally identical. There is no dedication of input channel 0 to a [[SYNC]] signal. Usually both inputs are used to connect photon detectors. The events from both channels are recorded independently and treated equally. In each case an event record is generated that contains information about the channel it came from and the arrival time of the event with respect to the overall measurement start. The timing is recorded with 4 ps resolution. Each T2 Mode event record consists of 32 bits. There are 4 bits for the channel number and 28 bits for the time-tag. Routing is not supported. If the time tag overflows, a special overflow marker record is inserted in the data stream, so that upon processing of the data stream a theoretically infinite time span can be recovered at full resolution. [[Dead time]]s exist only within each channel (95 ns typ.) but not across the channels. Therefore, cross correlations can be calculated down to zero lag time. This allows powerful new application such as [[FCS]] with lag times from picoseconds to hours. Autocorrelations can also be calculated at the full resolution but of course only starting from lag times larger than the [[dead time]].

-	The 32 bit event records are queued in a [[FIFO]] (First In First Out) buffer capable of holding up to 256 k event records. The FIFO input is fast enough to accept records at the full speed of the time-to-digital converters (up to 10 Mcps each). This means, even during a fast burst no events will be dropped except those lost in the [[dead time]] anyhow. The FIFO output is continuously read by the host PC, thereby making room for fresh incoming events. Even if the average read rate of the host PC is limited, bursts with much higher rate can be recorded for some time. Only if the average count rate over a long period of time exceeds the readout speed of the PC, a FIFO overrun could occur. In case of a FIFO overrun the measurement must be aborted because data integrity cannot be maintained. However, on a modern and well configured PC with Windows 2000 or XP a sustained average count rate over 4 Mcps is possible. This total transfer rate must be shared by the two input channels. For all practically relevant fluorescence detection applications the effective rate per channel is more than sufficient.	+	The 32 bit event records are queued in a [[FIFO]] (First In First Out) buffer capable of holding up to 256 k event records. The FIFO input is fast enough to accept records at the full speed of the time-to-digital converters (up to 10 Mcps each). This means, even during a fast burst no events will be dropped except those lost in the [[dead time]] anyhow. The FIFO output is continuously read by the host PC, thereby making room for fresh incoming events. Even if the average read rate of the host PC is limited, bursts with much higher rate can be recorded for some time. Only if the average count rate over a long period of time exceeds the readout speed of the PC, a FIFO overrun could occur. In case of a FIFO overrun the measurement must be aborted because data integrity cannot be maintained. However, on a modern and well configured PC a sustained average count rate over 4 Mcps is possible. This total transfer rate must be shared by the two input channels. For all practically relevant fluorescence detection applications the effective rate per channel is more than sufficient.

-	For maximum throughput, T2 Mode data streams are normally written directly to disk. The current PicoHarp software 1.2 does not provide any immediate data visualization during a T2 Mode measurement, except count rate and progress display. However, using custom software it is also possible to analyze incoming data "on the fly". Even on-line correlation can be implemented. Obviously this requires efficient processing and possible restrictions in average count rate. The PicoHarp software installation CD contains demo programs to show how T2 Mode files can be read by custom software. The implementation of custom measurement programs requires the PicoHarp programming library, which is available as a separate option.	+	For maximum throughput, T2 Mode data streams are normally written directly to disk. The current Harp software does not provide any immediate data visualization during a T2 Mode measurement, except count rate and progress display. However, using custom software it is also possible to analyze incoming data "on the fly". Even on-line correlation can be implemented. Obviously this requires efficient processing and possible restrictions in average count rate. The PicoHarp software installation CD contains demo programs to show how T2 Mode files can be read by custom software. The implementation of custom measurement programs requires the Harp programming library, which is available as a separate option.

	Note: From a mathematical point of view, the T2 mode should be able to store 28 bit = 228 = 268435456 time bin data before need to "wrap around". However, the real wrap around time as shown in the demo code is only 210698240. This discrepancy is due to the design of the TDCs. Briefly, the [[TDCs]] include a coarse scaler and an interpolator for the the short times. This interpolator is not working in a binary fashion, which finally leads to the fact that not the full available memory is used. This does not lead to any data loss. To reconstruct the full temporal time trace one only needs to follow the procedures shown in the demo code		Note: From a mathematical point of view, the T2 mode should be able to store 28 bit = 228 = 268435456 time bin data before need to "wrap around". However, the real wrap around time as shown in the demo code is only 210698240. This discrepancy is due to the design of the TDCs. Briefly, the [[TDCs]] include a coarse scaler and an interpolator for the the short times. This interpolator is not working in a binary fashion, which finally leads to the fact that not the full available memory is used. This does not lead to any data loss. To reconstruct the full temporal time trace one only needs to follow the procedures shown in the demo code

	see also [[.:t3-mode]]		see also [[.:t3-mode]]
-

basics

Anonymous (anonymous@undisclosed.example.com) — 2024-10-11T08:23:47+00:00

2021/09/23 14:59		current
Line 1:		Line 1:
	{{tag> basics introduction FCS fluorescence microscopy objective resolution NA tutorials}}		{{tag> basics introduction FCS fluorescence microscopy objective resolution NA tutorials}}
-	===== Basics =====	+	====== Basics ======

	* [[video_tutorials\|Fluorescence and Fluorescence Microscopy by Nico Stuurman]]		* [[video_tutorials\|Fluorescence and Fluorescence Microscopy by Nico Stuurman]]

applications

Anonymous (anonymous@undisclosed.example.com) — 2026-01-12T10:25:53+00:00

2023/02/23 09:12		current
Line 53:		Line 53:

	[[howto:antibunching_measurements\|Photon antibunching measurements]]		[[howto:antibunching_measurements\|Photon antibunching measurements]]
		+
		+	[[howto:burst_duration_and_fcs_diffusion_time:burst_duration_and_fcs_diffusion_time\|Burst Duration and FCS Diffusion Time]]


Line 62:		Line 64:

	[[howto:calculate_ratiometric_single_pair_fret_distributions\|Calculate ratiometric single pair FRET distributions]]		[[howto:calculate_ratiometric_single_pair_fret_distributions\|Calculate ratiometric single pair FRET distributions]]
		+
		+	[[howto:burst_duration_and_fcs_diffusion_time:burst_duration_and_fcs_diffusion_time\|Burst Duration and FCS Diffusion Time]]

fast_flim

Anonymous (anonymous@undisclosed.example.com) — 2015-11-03T14:29:58+00:00

2013/08/06 15:49		current
Line 1:		Line 1:
		+	{{tag>FLIM fast_flim}}
	====== Fast FLIM ======		====== Fast FLIM ======

	[[FLIM]] image, using the [[fast lifetime]] calculation. The color-coded fast lifetime of each pixel represents the average photon arrival time with respect to the preceding laser pulse.		[[FLIM]] image, using the [[fast lifetime]] calculation. The color-coded fast lifetime of each pixel represents the average photon arrival time with respect to the preceding laser pulse.

		+	===== FLIM in this wiki =====

		+	{{topic>FLIM -open_source&nodate&nouser}}

using_the_flcs_script_for_spectral_crosstalk_removal_via_flccs

Anonymous (anonymous@undisclosed.example.com) — 2015-02-25T14:00:13+00:00

2014/06/19 10:09		current
Line 2:		Line 2:
	~~NOTOC~~		~~NOTOC~~

-	====== Spectral crosstalk removal via FLCCS ======	+	====== Spectral Crosstalk Removal via FLCCS ======

bifl

Anonymous (anonymous@undisclosed.example.com) — 2015-02-10T16:34:08+00:00

2014/04/09 22:38		current
Line 3:		Line 3:
	BIFL stands for Burst Integrated Fluorescence Lifetime: The photon events of a complete burst are accumulated into a [[TCSPC]] histogram which is used for lifetime analysis methods afterwards. Usually a burst is defined as a time interval for which the intensity of a time trace or [[MCS]] measurement is above a chosen threshold. Evaluation of all bursts present in an [[MCS]] trace, for example, results in a lifetime histogram.		BIFL stands for Burst Integrated Fluorescence Lifetime: The photon events of a complete burst are accumulated into a [[TCSPC]] histogram which is used for lifetime analysis methods afterwards. Usually a burst is defined as a time interval for which the intensity of a time trace or [[MCS]] measurement is above a chosen threshold. Evaluation of all bursts present in an [[MCS]] trace, for example, results in a lifetime histogram.

-	BIFL is supported by the [[products:SymPhoTime]] software, alongside with a variety of burst related techniques.	+	BIFL is supported by the [[software:SymPhoTime]] software, alongside with a variety of burst related techniques.

marquardt-levenberg

Anonymous (anonymous@undisclosed.example.com) — 2015-02-10T16:34:33+00:00

2014/04/09 22:38		current
Line 1:		Line 1:
	====== Marquardt-Levenberg ======		====== Marquardt-Levenberg ======

-	The Marquardt-Levenberg method is a means of optimising parameters in a least squares fit. It is used in our [[products:FluoFit]], [[products:SymPhoTime]] and a variety of other products (online-Fitting, FluoLib...).	+	The Marquardt-Levenberg method is a means of optimising parameters in a least squares fit. It is used in our [[software:FluoFit]], [[software:SymPhoTime]] and a variety of other products (online-Fitting, FluoLib...).

	Basically it works by examining how changes of a certain parameter affect the residuals trace, that means, it calculates a pointwise gradient of the residuals trace for each parameter. Marquard-Levenberg optimisation is fairly efficient and is regarded as state-of-the-art in least squares fitting.		Basically it works by examining how changes of a certain parameter affect the residuals trace, that means, it calculates a pointwise gradient of the residuals trace for each parameter. Marquard-Levenberg optimisation is fairly efficient and is regarded as state-of-the-art in least squares fitting.

2ffcs

Anonymous (anonymous@undisclosed.example.com) — 2015-11-04T09:41:00+00:00

2014/04/09 22:02		current
Line 7:		Line 7:

	Correlation analysis that is applied to the fluctuations of the fluorescence intensity. The cross-correlation between the occurrence of events in two different detection volumes is used to introduce an absolute diffusion length into the analysis.		Correlation analysis that is applied to the fluctuations of the fluorescence intensity. The cross-correlation between the occurrence of events in two different detection volumes is used to introduce an absolute diffusion length into the analysis.
		+
		+	see [[glossary:FCS]] for a introduction on FCS.

	===== Experimental Setup =====		===== Experimental Setup =====

pattern_matching

Anonymous (anonymous@undisclosed.example.com) — 2014-06-18T13:26:07+00:00

2014/05/23 09:39		current
Line 10:		Line 10:

	Pattern Matching Analysis by decomposing a recorded image into different user-defined patterns. Display of the calculated data using an RGB false color model. The calculated amplitudes of the first three defined patterns are depicted in three different colors for each pixel.		Pattern Matching Analysis by decomposing a recorded image into different user-defined patterns. Display of the calculated data using an RGB false color model. The calculated amplitudes of the first three defined patterns are depicted in three different colors for each pixel.
		+
		+	{{ youtube>L68IgRbNSLE?large }}

	==== Open an Image ====		==== Open an Image ====

2025/05/28 09:47		current
Line 54:		Line 54:
	*[[https://github.com/khemmen/katcorr/\|Katherinas correlator]] is a collection of scripts and correlators that are inspired by the paper Ries...Schwille 2010 Optics Express "Automated suppression of sample-related artifacts in FCS".		*[[https://github.com/khemmen/katcorr/\|Katherinas correlator]] is a collection of scripts and correlators that are inspired by the paper Ries...Schwille 2010 Optics Express "Automated suppression of sample-related artifacts in FCS".
	These scripts have different scopes and use the library [[https://github.com/Fluorescence-Tools/tttrlib\|tttrlib]] to read and correlate time-tagged time resolved (TTTR) files.		These scripts have different scopes and use the library [[https://github.com/Fluorescence-Tools/tttrlib\|tttrlib]] to read and correlate time-tagged time resolved (TTTR) files.
		+
		+	*[[https://github.com/yusuf-qutbuddin/theatRICS]] is a Python-based toolkit designed for the analysis of time-resolved fluorescence data. It is particularly well-suited for high-throughput data processing, offering efficient workflows for researchers managing large TCSPC datasets.
		+

	* [[http://flim-analyzer.ip-korea.org/\|FLIM-FRET analyzer]]: open source software for automation of lifetime-based FRET analysis. This is a Microsoft Windows application originally developed in C#. The main goal of this application is to provide the FLIM community a user-friendly application.		* [[http://flim-analyzer.ip-korea.org/\|FLIM-FRET analyzer]]: open source software for automation of lifetime-based FRET analysis. This is a Microsoft Windows application originally developed in C#. The main goal of this application is to provide the FLIM community a user-friendly application.