Python processing and analysis of Time-Correlated Single Photon Counting (TCSPC) and FLIM data.
Project description
pyTCSPCtools
pyTCSPCtools provides a way to process and analyze TCSPC data, focusing on data collected with our TCSPC devices. It uses Cython to compile Python wrappers for C++ methods and classes, enabling efficient processing of the binary data collected by our devices. The package focuses on the two main data objects used in the TCSPC++ code: TTTRData and HistData, offering the Python wrappers PyTTTRData and PyHistData respectively. Additionally, a wrapper for the global fitting algorithm of FLIMfit is provided in the PyGlobalFitter class.
Installation
Note: Currently, the package is only available for Windows (Python 3.9+) due to the compilation of TCSPC++ (and FLIMfit).
pip install pyTCSPCtools
Documentation
The documentation for this package can be found here.
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