Evidence map›Paper›PMID 30296355›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2019

Autofluorescence lifetime imaging of cellular metabolism: Sensitivity toward cell density, pH, intracellular, and intercellular heterogeneity.

Jenu V Chacko, Kevin W Eliceiri

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
7.5field-weighted citation impact, top 3% of its field
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

46 citing papers in PubMed, 80 citations in OpenAlex.

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  12. Autofluorescence lifetime flow cytometry with time-correlated single photon counting.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
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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

2 authors at 1 institution in 1 country.

Jenu V ChackoLaboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, Wisconsin.ORCID 0000-0002-6676-0358
Kevin W EliceiriLaboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, Wisconsin.ORCID 0000-0001-8678-670X
University of Wisconsin–Madison · US

Funding

[PQC-3] A Metabolic Pathway Activation Marker for Prostate Cancer PrognosisR01CA185251 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BASU, HIRAK S., BEEBE, DAVID J · 2014 to 2017
$2.9M
NCI NIH HHS R01 CA185251
6 · The paper itself

Abstract

Autofluorescence imaging (AFI) has greatly accelerated in the last decade, way past its origins in detecting endogenous signals in biological tissues to identify differences between samples. There are many endogenous fluorescence sources of contrast but the most robust and widely utilized have been those associated with metabolism. The intrinsically fluorescent metabolic cofactors nicotinamide adenine dinucleotide (NAD

Indexed as

Cell CountCell Line, TumorCellular MicroenvironmentCytoplasmFlavin-Adenine DinucleotideHumansHydrogen-Ion ConcentrationMicroscopy, Fluorescence, MultiphotonNADOptical ImagingOxidation-ReductionFlavin-Adenine DinucleotideNADautofluorescence Imagingconfluencyfluorescence lifetime imaging microscopylive cell metabolic imagingNAD(P)H FLIM

Identifiers

PMID30296355
PMCPMC6329636
OpenAlexW2896128207

What OpenQuestion holds

Textmetadata
LicenceTDM
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.