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Related Experiment Video

Updated: Jun 13, 2025

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Published on: January 18, 2017

AlliGator: Open Source Fluorescence Lifetime Imaging Analysis in G.

¹Department of Chemistry & Biochemistry, University of California at Los Angeles, 607 Charles E. Young Drive E, Los Angeles, CA 90095.

Biorxiv : the Preprint Server for Biology

|June 12, 2025

Summary

This summary is machine-generated.

AlliGator is a new open-source software for Fluorescence Lifetime Imaging (FLI) analysis. It offers a user-friendly interface for complex FLI data processing, including model fitting and phasor analysis.

Keywords:

LabVIEW NLSF Python fluorescence lifetime imaging phasor analysis

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Last Updated: Jun 13, 2025

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

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Flexible Measurement of Bioluminescent Reporters Using an Automated Longitudinal Luciferase Imaging Gas- and Temperature-optimized Recorder ALLIGATOR

Flexible Measurement of Bioluminescent Reporters Using an Automated Longitudinal Luciferase Imaging Gas- and Temperature-optimized Recorder ALLIGATOR

Published on: December 13, 2017

Area of Science:

Biophysics
Optical Imaging
Data Analysis Software

Background:

Fluorescence Lifetime Imaging (FLI) captures temporal fluorescence decay at each image pixel.
Analyzing FLI data typically involves complex model fitting or phasor analysis.
Existing software packages may lack user-friendliness or comprehensive features.

Purpose of the Study:

Introduce AlliGator, an open-source software for Fluorescence Lifetime Imaging (FLI) data analysis.
Provide a user-friendly graphical interface (GUI) for advanced FLI analysis techniques.
Offer unique features and support for custom plugins to enhance FLI research.

Main Methods:

Developed AlliGator using LabVIEW graphical programming language for intuitive GUI design.
Implemented established FLI analysis methods: nonlinear least-square fit, maximum likelihood estimation, and phasor analysis.
Integrated support for user-developed plugins written in Python for extended functionality.

Main Results:

AlliGator provides a comprehensive and accessible platform for FLI data analysis.
The software integrates multiple analysis approaches within a single, user-friendly GUI.
Unique features and Python plugin support enhance its versatility for researchers.

Conclusions:

AlliGator offers a powerful, open-source solution for Fluorescence Lifetime Imaging analysis.
Its user-friendly interface and extensible design facilitate broader adoption and application in scientific research.
The software empowers researchers to extract more information from FLI datasets.