tttrlib
tttrlib integrates fluorescence spectroscopy, imaging, and molecular modeling data for time-resolved data processing and analysis pipeline development.
Key Features:
- File format agnostic processing: Reads, writes, and processes multiple time-resolved data formats and outputs without data conversion.
- Multi-experiment support: Handles time-resolved single-molecule spectroscopy, laser scanning microscopy, fluorescence correlation spectroscopy, and image correlation spectroscopy.
- Unified analysis pipeline development: Enables creation of pipelines that integrate various spectroscopic analysis tools and eliminate data archiving issues.
Scientific Applications:
- Single-molecule spectroscopy: Processes time-resolved fluorescence single-molecule spectroscopy data.
- Fluorescence microscopy: Analyzes laser scanning microscopy and live-cell image spectroscopy data.
- Correlation spectroscopy: Supports fluorescence correlation spectroscopy and image correlation spectroscopy analysis.
- Molecular modeling integration: Unifies spectroscopic data with molecular modeling for comprehensive analysis.
Methodology:
Modular software architecture for reading, writing, and processing time-resolved fluorescence data across multiple formats.
Topics
Details
- Programming Languages:
- Python
- Added:
- 2/22/2026
- Last Updated:
- 2/22/2026
Operations
Publications
Documentation
User manual
https://docs.peulen.xyz/tttrlib