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

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