Evidence map›Paper›PMID 42269617›Full record

ArticleCell reports methods2026

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

Wenxuan Zhao, Kayvan Samimi, Melissa C Skala, Rupsa Datta

Abstract read
In one paragraph

Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Wenxuan ZhaoMorgridge Institute for Research, Madison, WI, USA.
Kayvan SamimiMorgridge Institute for Research, Madison, WI, USA.
Melissa C SkalaMorgridge Institute for Research, Madison, WI, USA; Department of Biomedical Engineering, University of Wisconsin, Madison, WI, USA.
Rupsa DattaMorgridge Institute for Research, Madison, WI, USA. Electronic address: rdatta@morgridge.org.

Funding

Optical imaging to predict cell-level genetic heterogeneity and treatment sensitivity in colorectal cancerR37CA226526 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI DEMING, DUSTIN A · 2018 to 2024
$4.2M
Functional optical imaging for rapid, label-free predictions of treatment response and clonal evolution in patient-derived cancer organoidsR01CA272855 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI Dustin A Deming, Melissa Caroline Skala · 2023 to 2026
$3.1M
Label-free imaging of CAR T cell metabolismR01CA278051 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI Christian Capitini, Krishanu Saha · 2023 to 2026
$2.6M
Label-free single-cell imaging for quality control of cardiomyocyte biomanufacturingR01HL165726 · NHLBI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI Sean P Palecek, Melissa Caroline Skala · 2023 to 2026
$2.5M
NCI NIH HHS R01 CA272855NCI NIH HHS R01 CA278051NCI NIH HHS R37 CA226526NHLBI NIH HHS R01 HL165726
6 · The paper itself

Abstract

Fluorescence lifetime imaging microscopy (FLIM) is sensitive to molecular environments and enables high-resolution mapping of cellular heterogeneity. Yet, the journey from raw photon decays to biological insight remains fragmented by multi-step data extraction and siloed analyses, creating burdens for experts and non-experts alike. This work presents FLIM Playground, the first interactive graphical platform that unifies single-cell FLIM workflows. Modularly designed to encompass data extraction (if desired) and data analysis, FLIM Playground can check field-of-view metadata, calibrate and extract fluorescence lifetime features per region of interest along with morphology and texture features across channels, merge multiple datasets, and provide real-time visual analytic modules. Lifetime extraction was validated against commercial software and published results, and both data extraction and analysis were demonstrated on a FLIM dataset of cancer cell lines. By adopting best practices and offering interactivity, FLIM Playground promotes reproducibility, allows for expansion to new imaging modalities, and accelerates hypothesis-driven discovery.

Indexed as

Single-Cell AnalysisUser-Computer InterfaceCell Line, TumorHumansImage Processing, Computer-AssistedMicroscopy, FluorescenceSoftwareCP: imagingFLIMfluorescence lifetime imaging microscopyGUIimage analysisinteractive visualizationlifetime fittingmetabolic imagingopen-source softwarephasor analysisTCSPC

Identifiers

PMID42269617
PMCPMC13494553

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Registered trials

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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.