Program Summary
With quantitative Single Molecule Localization Microscopy (qSMLM) we present a Python 3 package to analyze the oligomeric composition of a SMLM data set. It is based upon the  likelihood maximization of a mixture model. With
stochastic simulation of photo-physics (ssp) we present a command-line tool, that simulates the reappearance of single emitter fluorescence from long lived dark states. It uses a stochastic model based upon several probability parameters given by the user.

 

4-state model of photo-physics
minimal stocastic model of photo-physics

Availability and implementation of qSMLM
qSMLM is written in Python 3 and published open source under GNU publishing license version 3 or later. The source code is freely available from the
single-molecule localization microscopy (SMLM) project page at
GitHub:
https://github.com/SMLMS/qSMLM

 

A pre-packed wheel versions of the code and a documentation can be obtained here:

 

Tutorial of qSMLM
In addition to the  documentation we offer a tutorial with a test data set:


 

 

Availability and implementation of ssp
ssp is written in objective-c and published open source under GNU publishing license version 3 or later. The source code is freely available from the
single-molecule localization microscopy (SMLM) project page at
GitHub:
https://github.com/SMLMS/SSP

 

Pre-compiled versions of the code can be obtained here:

 

Documentation of ssp
A documentation on the usage of ssp can be obtained via the following link:


 

Keywords
Single-Molecule Biophysics — Single-Molecule Localization Microscopy — software — quantitative molecular counting — simulation — photo-physics