ArticleBioinformatics (Oxford, England)2025
tttrlib: modular software for integrating fluorescence spectroscopy, imaging, and molecular modeling.
Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Multidomain Coupling Governs FoxP1 Assembly and Nuclear Compartmentalization.bioRxiv : the preprint server for biology · 2026Article
- A combined PIE-FRET and FCS assay to monitor RNA dynamics and cleavage by SARS-CoV-2 Nsp15.Scientific reports · 2026Article
- Bound or unbound: mapping and monitoring receptor oligomerization by time-resolved fluorescence live-cell imaging.Frontiers in molecular biosciences · 2026Article
- Comparative Analysis of CRISPR/Cas9 Delivery Methods in Marine Teleost Cell Lines.International journal of molecular sciences · 2025Article
- Fluorescence correlation spectroscopy for particle sizing: A notorious challenge.Biophysical journal · 2025Review
- FRET-FCS: Advancing comprehensive insights into complex biological systems.Biophysical journal · 2025Review
- Time-Resolved Fluorescence Anisotropy from Single Molecules for Characterizing Local Flexibility in Biomolecules.Journal of visualized experiments : JoVE · 2025Article
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Authors and funding
9 authors.
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Abstract
summaryWe introduce software for reading, writing and processing fluorescence single-molecule and image spectroscopy data and developing analysis 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. The software is file format agnostic and processes multiple time-resolved data formats and outputs. Our software eliminates the need for data conversion and 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 available via GitHub (https://github.com/fluorescence-tools/tttrlib). Presented examples and additional documentation demonstrating how to implement in 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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