• Python based lifetime density analysis of time resolved data
  • Easy to use GUI with manual
  • Example datasets are provided with the source code
  • A number of regularization schemes implemented to allow investigation of different models
  • Singular value decomposition and fitting of left singular vectors for comparison of rate constants
  • Statistics to help in selection of regularization tuning parameter

Please Cite:

Dorlhiac GF, Fare C, van Thor JJ. (2017) PyLDM - An open source package for lifetime density analysis of time-resolved spectroscopic data. PLoS Comput Biol. 2017 May 22;13(5):e1005528.

All files are available at