Skip to content

Upgraded code options for Pico Quant Time Tagged Time Resolved (TTTR) data. Main focus will be on .ptu files.

Notifications You must be signed in to change notification settings

nranthony/TTTR

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

38 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Fork of PicoQuant/PicoQuant-Time-Tagged-File-Format-Demos repo. Lower part of readme is their original readme.

This fork serves as a starting point for adapting their initial T2 and T3 files to text output (very inefficient for most cases; great to visualize and learn about on smaller files). The end goal is to efficiently split (scanned FCS data), filter (using photon filters like LFCS), correlate (auto correlation function (ACF), spatio-temporal autocorrelation, both with semi-log multi-tau temporal binning). See https://www.cell.com/biophysj/fulltext/S0006-3495(14)04751-1 for a detailed application of these techniques.

PicoQuant Time Tagged File Format (ptu, phu)

Demo Code for PicoQuants Time Tagged File Formats

Changelog

26.03.19

  • updated LabVIEW demos, PTU demo was buggy

15.02.2019

  • adapted C demos to compile under Linux also
  • updated DOC to most recent tag dictionary

20.09.2018

  • updated PTU demos to support MultiHarp 150
  • updated DOC to most recent tag dictionary, removed links to pq-forum
  • PHU demos remain unchanged

Disclaimer

This demo software is provided free of charge, as is, without any guaranteed fitness for a specific purpose and without any liability for damage resulting from its use.

Please check the doc folder for a documentation of the file format

About

Upgraded code options for Pico Quant Time Tagged Time Resolved (TTTR) data. Main focus will be on .ptu files.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Objective-C 47.5%
  • Pascal 14.7%
  • MATLAB 13.4%
  • C 12.0%
  • C 8.1%
  • Python 4.2%
  • Batchfile 0.1%