tttrlib: modular software for integrating fluorescence spectroscopy, imaging, and molecular modeling

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Abstract

Summary: We introduce software for reading, writing and processing fluorescence single-molecule and image spectroscopy data and developinganalysis pipelines to unify various spectroscopic analysis tools. Our software can be used for processing multiple experiment types, e.g. for time-resolved single-molecule spectroscopy, laser scanning microscopy, fluorescence correlation spectroscopy and image correlation spectroscopy. Thesoftware is file format agnostic and processes multiple time-resolved data formats and outputs. Our software eliminates the need for data conversionand mitigates data archiving issues.Availability and implementation: tttrlib is available via pip (https://pypi.org/project/tttrlib/) and bioconda while the open-source code is availablevia GitHub (https://github.com/fluorescence-tools/tttrlib). Presented examples and additional documentation demonstrating how to implementin vitro and live-cell image spectroscopy analysis are available at https://docs.peulen.xyz/tttrlib and https://zenodo.org/records/14002224.

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APA

Peulen, T. O., Hemmen, K., Greife, A., Webb, B. M., Felekyan, S., Sali, A., … Heinze, K. G. (2025). tttrlib: modular software for integrating fluorescence spectroscopy, imaging, and molecular modeling. Bioinformatics, 41(2). https://doi.org/10.1093/bioinformatics/btaf025

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