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Related Experiment Video

Updated: Jun 12, 2026

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
09:30

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Published on: January 18, 2017

FLIM Playground: An interactive, end-to-end graphical user interface for analyzing single cells with fluorescence

Wenxuan Zhao1, Kayvan Samimi1, Melissa C Skala2

  • 1Morgridge Institute for Research, Madison, WI, USA.

Cell Reports Methods
|June 10, 2026
PubMed
Summary

FLIM Playground unifies fluorescence lifetime imaging microscopy (FLIM) workflows for cellular analysis. This interactive platform simplifies data extraction and analysis, accelerating biological discovery.

Keywords:
CP: imagingFLIMGUITCSPCfluorescence lifetime imaging microscopyimage analysisinteractive visualizationlifetime fittingmetabolic imagingopen-source softwarephasor analysis

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Production and Multi-Parameter Live Cell Fluorescence Lifetime Imaging Microscopy (FLIM) of Multicellular Spheroids
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Production and Multi-Parameter Live Cell Fluorescence Lifetime Imaging Microscopy (FLIM) of Multicellular Spheroids

Published on: August 9, 2024

Area of Science:

  • Biophotonics and Imaging Science
  • Cellular and Molecular Biology
  • Computational Biology and Bioinformatics

Background:

  • Fluorescence lifetime imaging microscopy (FLIM) offers insights into cellular environments but involves complex, fragmented workflows.
  • Current FLIM analysis requires multi-step data extraction and siloed tools, posing challenges for researchers.
  • Bridging the gap between raw FLIM data and biological insights is crucial for broader adoption.

Purpose of the Study:

  • To introduce FLIM Playground, an integrated graphical platform for single-cell FLIM data analysis.
  • To streamline and unify the entire FLIM workflow, from data extraction to biological interpretation.
  • To enhance reproducibility and accelerate hypothesis-driven discovery in cellular imaging.

Main Methods:

  • Development of an interactive, modular graphical platform named FLIM Playground.
  • Implementation of features for metadata checking, lifetime and feature extraction (morphology, texture), and dataset merging.
  • Integration of real-time visual analytic modules for immediate data feedback.

Main Results:

  • FLIM Playground successfully unifies data extraction and analysis within a single interface.
  • Lifetime extraction was validated against commercial software and existing literature.
  • Demonstrated utility on FLIM data from cancer cell lines, showcasing its practical application.

Conclusions:

  • FLIM Playground significantly reduces the burden of FLIM data analysis for both experts and non-experts.
  • The platform promotes reproducibility and facilitates expansion to new imaging modalities.
  • FLIM Playground accelerates biological discovery by simplifying complex imaging workflows.