Authors
Blanche Ter Hofstede, Samantha Morganti, Daniela De Hoyos Canales, Anna Theodossiou, Amanda Galloway, Alex J Walsh
Published in
JPhys photonics. Volume 8. Issue 3. Pages 036001. Sep 01, 2026. Epub Jul 07, 2026.
Abstract
Fluorescence lifetime imaging microscopy (FLIM) enables non-invasive measurement of cellular metabolism with single-cell and subcellular resolution, providing advantages over traditional population-level metabolic assays. However, current single-cell FLIM analysis workflows typically rely on multiple software tools for lifetime extraction, segmentation, and downstream analysis, often resulting in convoluted workflows and a disconnect between quantitative measurements and image context, limiting transparent quality control. Here, we present FLIMExplorer, an interactive, Python-based tool for downstream single-cell FLIM analysis and visualization. FLIMExplorer links quantitative FLIM endpoints and their underlying image objects, enabling users to explore key FLIM features (NAD(P)H and FAD: τ m, τ 1, τ 2, and α 1) at the single-cell level, visualize image objects corresponding to individual data points, and perform statistical comparisons across experimental groups within a single graphic user interface app. FLIMExplorer handles inputs of both (1) pixel-level FLIM outputs generated by upstream fitting software and (2) pre-processed, cell-average FLIM datasets. By integrating visualization, quality control, and statistical analysis at the single-cell level within a single platform, FLIMExplorer improves the integration of quantitative results with image context in downstream FLIM analysis.
PMID:
42416368
Bibliographic data and abstract were imported from PubMed on 08 Jul 2026.
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