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writingroom:lifetime-fitting_using_the_rapid_reconvolution_algorithm [2020/05/13 07:50] – ↷ Links adapted because of a move operation ruckelshausenhowto:lifetime-fitting_using_the_rapid_reconvolution_algorithm [2021/06/12 05:05] – [Introduction] rezvani
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 This tutorial shows step-by-step, how to use the Multi-Exponential Reconvolution fitting model with correction for rapidFLIM. This new approach allows better fitting for data acquired with rapidFLIM capable hardware with count-rates way beyond classical pile up limit. This tutorial shows step-by-step, how to use the Multi-Exponential Reconvolution fitting model with correction for rapidFLIM. This new approach allows better fitting for data acquired with rapidFLIM capable hardware with count-rates way beyond classical pile up limit.
    
-For the principle of rapidFLIM - recording, check the technical note available here: [[https://www.picoquant.com/images/uploads/page/files/16651/2016_soh_appnote_rapidflim.pdf|Application Note: rapidFLIM]]+For the principle of rapidFLIM - recording, check the application note available here: 
 +[[https://www.picoquant.com/dl_technotes/AppNote_rapidFLIM_HiRes.pdf|Application Note: rapidFLIM]].
  
-Here in detail the FLIM analysis of SymPhoTime 64 is used to perform a lifetime fit and how to extract and read the results. A mixture of Dragon Green and Nile Red fluorescent microspheres were imaged with more than three frames per second. + 
 +Here in detail the FLIM analysis of SymPhoTime 64 is used to perform a lifetime fit and how to extract and read the results. A mixture of Dragon Green and Nile Red fluorescent microspheres were imaged with more than three frames per second. Tutorials workspace can be downloaded from [[https://figshare.com/s/4957fcfa684daef86c23]].
  
 ===== Step-by-Step Tutorial ===== ===== Step-by-Step Tutorial =====
howto/lifetime-fitting_using_the_rapid_reconvolution_algorithm.txt · Last modified: 2023/02/17 12:40 by admin