- 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. https://doi.org/10.1371/journal.pcbi.1005528
All files are available at http://www.github.com/gadorlhiac/pylda