ArticleFrontiers in bioinformatics2023
Real-time open-source FLIM analysis.
Article in Frontiers in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- A computational super-resolution framework for multidimensional fluorescence imaging.Science advances · 2026Article
- FLIMExplorer: interactive GUI for object-based visualization and analysis of fluorescence lifetime images.JPhys photonics · 2026Article
- Chemical fluorophores for fluorescence lifetime imaging.Chemical Society reviews · 2026Review
- A fluorescence lifetime separation approach for FLIM live-cell imaging.Journal of microscopy · 2026Article
- Fluorescence Lifetime Imaging Microscopy Analysis of Isolated Melanosomes.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025Article
- FLIMPA: A Versatile Software for Fluorescence Lifetime Imaging Microscopy Phasor Analysis.Analytical chemistry · 2025Article
- GSLab: open-source platform for advanced phasor analysis in fluorescence microscopy.Bioinformatics (Oxford, England) · 2025Article
- GSLab: Open-Source Platform for Advanced Phasor Analysis in Fluorescence Microscopy.bioRxiv : the preprint server for biology · 2025Article
- Postbiotics: a perspective on their quantification.Frontiers in nutrition · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Fluorescence lifetime imaging microscopy (FLIM) provides valuable quantitative insights into fluorophores' chemical microenvironment. Due to long computation times and the lack of accessible, open-source real-time analysis toolkits, traditional analysis of FLIM data, particularly with the widely used time-correlated single-photon counting (TCSPC) approach, typically occurs after acquisition. As a result, uncertainties about the quality of FLIM data persist even after collection, frequently necessitating the extension of imaging sessions. Unfortunately, prolonged sessions not only risk missing important biological events but also cause photobleaching and photodamage. We present the first open-source program designed for real-time FLIM analysis during specimen scanning to address these challenges. Our approach combines acquisition with real-time computational and visualization capabilities, allowing us to assess FLIM data quality on the fly. Our open-source real-time FLIM viewer, integrated as a Napari plugin, displays phasor analysis and rapid lifetime determination (RLD) results computed from real-time data transmitted by acquisition software such as the open-source Micro-Manager-based OpenScan package. Our method facilitates early identification of FLIM signatures and data quality assessment by providing preliminary analysis during acquisition. This not only speeds up the imaging process, but it is especially useful when imaging sensitive live biological samples.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.