Evidence mapPaperPMID 40112892Full record

SynthesisJournal of biophotonics2025

Illuminating Immunity: A Systematic Review of Immune Cell Autofluorescence.

Aline Knab, Caroline Giardina, Shane T Grey, Ewa M Goldys, Jared M Campbell

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of biophotonics, 2025. 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
  3. Deciphering macrophage molecular responses toFrontiers in microbiology · 2026
    Article
  4. 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.

Aline KnabGraduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0009-0006-4715-4252
Caroline GiardinaGarvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Shane T GreyFaculty of Medicine & Health, University of New South Wales, Sydney, New South Wales, Australia.
Ewa M GoldysGraduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia.
Jared M CampbellGraduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0003-0163-4251

Funding

Tour de Cure
6 · The paper itself

Abstract

Immunophenotyping provides valuable prognostic and diagnostic information, but is technically complex and expensive. The assessment of autofluorescence is label-free and provides complex information on cell identity. However, research on its application to immunophenotyping has been heterogenous. This systematic review was carried out to identify and synthesise all available evidence on the use of autofluorescence for immunophenotyping. Eighty three full texts were included. There was a focus on neutrophils (20 papers) and macrophages (22 papers) with alveolar macrophages (13 papers) forming a subcategory. Seven studies investigated monocytes, three focused on microglia, two on dendritic cells, five on mast cells, nine on granulocytes, thirteen on eosinophils, one on erythrophagocytic cells, and one on natural killer cells. Eleven studies investigated uncategorised immune cell populations. Translation of findings into clinical immunophenotyping requires the application of reproducible methods, along with clear reporting of excitation and emission parameters, and a greater focus on clinical and primary samples.

Indexed as

ImmunityImmunophenotypingOptical ImagingAnimalsHumansautofluorescenceimmune cellsimmunophenotypinglabel free

Identifiers

PMID40112892
PMCPMC12162169

What Socratic holds

Textmetadata
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 Socratic graph.