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

Bioinformatics (Oxford, England) Pub Date : 2025-02-04 DOI:10.1093/bioinformatics/btaf025

Thomas-Otavio Peulen, Katherina Hemmen, Annemarie Greife, Benjamin M Webb, Suren Felekyan, Andrej Sali, Claus A M Seidel, Hugo Sanabria, Katrin G Heinze

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Abstract

Summary: We 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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Tttrlib：集成荧光光谱，成像和分子建模的模块化软件。

摘要：我们引入了荧光单分子和图像光谱数据的读写和处理软件，并开发了分析管道，以统一各种光谱分析工具。我们的软件可用于处理多种实验类型，例如时间分辨单分子光谱，激光扫描显微镜，荧光相关光谱和图像相关光谱。该软件是文件格式无关的，并处理多种时间分辨的数据格式和输出。我们的软件消除了数据转换的需要，并减轻了数据存档问题。可用性和实现：tttrlib可通过pip （https://pypi.org/project/tttrlib/）和bioconda获得，而开源代码可通过GitHub （https://github.com/fluorescence-tools/tttrlib）获得。演示如何在体外和活细胞图像光谱分析的示例和附加文档可在https://docs.peulen.xyz/tttrlib和https://zenodo.org/records/14002224.Supplementary上获得信息：补充数据可在Bioinformatics在线获得。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bioinformatics (Oxford, England)

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