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t3-mode
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=== T3-mode ====== (derived from [[tttr]]-mode or Time-Tagged-Time-Resolved mode) A special measurement mode of the [[products:PicoHarp 300]], [[products:HydraHarp 400]] and [[products:TimeHarp 260]]. In T3 Mode input channel 0 is dedicat... reduces the sync rate so that the channel [[dead time]] is no longer a problem. * The remaining prob
t2-mode
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300]], [[Products:HydraHarp 400]] and [[Products:TimeHarp 260]] In T2 Mode both signal inputs of the... on about the channel it came from and the arrival time of the event with respect to the overall measurem... 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
tttr
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====== TTTR ====== TTTR stands for Time-Tagged Time-Resolved. The basic concept of this measurement mode is to record every individual photon of a [[TCSPC]] experiment. Both the arrival time as well as the TCSPC timing information (i.e. the time from the preceding excitation pulse or to the fol
pile-up_effect
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{{tag> TCSPC pile-up dead_time}} ~~TOC~~ ====== Pile-Up Effect ====== The Pile-Up effect describes the ... s lost at high photon count rates due to the dead time of the TCSPC devices. Most single photon counti... detectors and [[TCSPC]] electronics have a [[dead time]]. After registering one photon the device needs some time to be ready for the next photon to detect. The de
dead_time
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====== Dead Time ====== 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 p
differential_count_rate
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{{tag> pile-up dead_time IRF differential_countrate}} ====== Differential Count Rate ====== Ideally, a... y (probability of encountering a photon) during a time interval when a detected signal is really present... the detector bunched, as flashes. These are short time intervals with huge photon density (rate), separa... rate" is a result of **sparse sampling with dead time**. The sampled signal features much higher photon
mcs
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surement 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 ... form [[TCSPC]] histograms, which in turn can be used for lifetime analysis, time-gated analysis etc.
bootstrap
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d fitted, the bootstrap method seems to be rather time consuming. On the other hand all parameter errors... one go"; also the simulation process is not very time consuming. The bootstrap method makes far less as... (integer) weighting factor according to how many times a point was picked in the 'simulation' process.
deconvolution
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== Deconvolution ====== Deconvolution is used in time domain data analysis for removal of broadening ef... nvolution, the best way of doing it (at least for time domain data) would be via Fourier transform. Four... or deconvolution-like) techniques. What holds for time domain data, also holds for imaging: Deconvolutio
tcspc
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ed 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.
bifl
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thods 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. Ev
convolution
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as $C(t)=\int_{-\infty}^t F(t-t')~G(t')~dt'$ In time resolved fluorescence it describes the effects of... Dec(t-t')~IRF(t')~dt'$ where $Dec(t)$ is the unconvolved ('real') decay starting at a given time $t=0$
fast_lifetime
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the barycentre of the (pseudo–)pixel's decay. The time span from the barycentre of the IRF to the baryce... statistics. If an [[IRF]] is not available, the "time zero" $t_\theta$ has to be estimated differently,
pie
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sources). The laser pulses are separated on a ns time scale to allow simultaneous recording of the time response of a sample molecule due to each individual
pre-histogrammed_image
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TCSPC channels per pixel | |TimeResol ||||''float32'' |time resolution of the TCSPC histograms in ns | |The follow
fast_flim
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fcs
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irf
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least_squares
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mcp
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poisson_distribution
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reconvolution
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spad
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