Evidence map›Paper›PMID 41293700›Full record

ArticleBiomedical optics express2025

Transforming hyperspectral data into insight: the DREAM approach for pathology.

Mason Hong, Daniel E S Koo, Jason Junge, Scott E Fraser, Francesco Cutrale

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Mason HongTranslational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.
Daniel E S KooTranslational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.
Jason JungeTranslational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.ORCID https://orcid.org/0000-0002-9886-1751
Scott E FraserTranslational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.
Francesco CutraleTranslational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.ORCID https://orcid.org/0000-0003-0517-3069

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative pathology remains limited due to the need for chemical staining and subjective interpretation of tissue features. Autofluorescence imaging offers a label-free alternative; however, high-dimensional excitation-emission datasets pose challenges for visualization and reproducible analysis. Here, we present Dimensionality Reduction for Enhanced Autofluorescence Microscopy (DREAM), a method that condenses multi-excitation emission spectra into a compact, information-rich format using phasor-based tools. Applied to unstained esophageal tissue samples, DREAM enables high-contrast visualizations that distinguish key histological structures without the need for exogenous labeling. Quantitative assessments across multiple datasets show DREAM improves colorfulness, sharpness, and consistency over single-laser acquisitions, supporting its potential to advance objective, label-free diagnostics through enhanced spectral visualization.

Identifiers

PMID41293700
PMCPMC12642984

What Socratic holds

Textmetadata
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.