Evidence map›Paper›PMID 38098814›Full record

ArticleFrontiers in bioinformatics2023

Real-time open-source FLIM analysis.

Kevin K D Tan, Mark A Tsuchida, Jenu V Chacko, Niklas A Gahm, Kevin W Eliceiri

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Fluorescence Lifetime Imaging Microscopy Analysis of Isolated Melanosomes.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kevin K D TanDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI, United States.
Mark A TsuchidaCenter for Quantitative Cell Imaging, University of Wisconsin, Madison, WI, United States.
Jenu V ChackoCenter for Quantitative Cell Imaging, University of Wisconsin, Madison, WI, United States.
Niklas A GahmDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI, United States.
Kevin W EliceiriDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI, United States.

Funding

Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
Research Training Program in Toxicology and Environmental HealthT32ES007326 · NIEHS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Jodi A. Flaws · 2000 to 2026
$8.7M
TECH CoreU54CA268069 · NCI · UNIVERSITY OF MINNESOTA · PI David J. Odde · 2022 to 2026
$8.2M
Center for Open Bioimage AnalysisP41GM135019 · NIGMS · BROAD INSTITUTE, INC. · PI CARPENTER, ANNE E., CIMINI, BETH · 2020 to 2024
$6.9M
NCI NIH HHS U54 CA268069NIEHS NIH HHS T32 ES007326NIGMS NIH HHS P41 GM135019NLM NIH HHS T15 LM007359
6 · The paper itself

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.

Indexed as

FLIMfluorescence lifetimelive FLIMnapariopen sourcephasorreal-time FLIM analysis

Identifiers

PMID38098814
PMCPMC10720713

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.