Evidence map›Paper›PMID 42719861›Full record

ArticleBiophotonics discovery2026

Single-fiber co-registered Raman-OCT technique with deep learning enhances

Chang Liu, Bin He, Kan Lin, Chi Shu, Wei Zheng, Zhiwei Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biophotonics discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Chang LiuNational University of Singapore, College of Design and Engineering, Department of Biomedical Engineering, Optical Bioimaging Laboratory, Singapore.
Bin HeNational University of Singapore, College of Design and Engineering, Department of Biomedical Engineering, Optical Bioimaging Laboratory, Singapore.
Kan LinNational University of Singapore, College of Design and Engineering, Department of Biomedical Engineering, Optical Bioimaging Laboratory, Singapore.
Chi ShuNational University of Singapore, College of Design and Engineering, Department of Biomedical Engineering, Optical Bioimaging Laboratory, Singapore.
Wei ZhengNational University of Singapore, College of Design and Engineering, Department of Biomedical Engineering, Optical Bioimaging Laboratory, Singapore.
Zhiwei HuangNational University of Singapore, College of Design and Engineering, Department of Biomedical Engineering, Optical Bioimaging Laboratory, Singapore.ORCID https://orcid.org/0000-0002-0104-9135

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional oral cancer diagnosis relies on white light imaging and tissue biopsy that fail to capture critical microstructural and biomolecular information, thereby limiting early detection of precancerous and malignant lesions. To address these challenges, we present a unique coaxial and co-registered morpho-chemical imaging platform that integrates Raman spectroscopy (RS) and optical coherence tomography (OCT) within a compact, single-fiber probe. This integration uniquely enables video-rate OCT imaging together with sub-second Raman acquisition, providing spatially aligned microstructural and biochemical tissue information

Indexed as

deep learningfiberoptic Raman spectroscopy and optical coherence tomographyin vivo oral tissue analysis

Identifiers

PMID42719861
PMCPMC13557451

What OpenQuestion holds

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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.