Artifact-suppressed dual-modality OCT-fluorescence endoscopic imaging of colitis in murine models.

Songzhi Wu, Shuo Wang, Baihan Li, Zhonglie Piao, Chong He, Fang Lu, Zhao Wang

Abstract read

In one paragraph

Article in Biomedical optics express, 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

7 authors.

Songzhi WuSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.

Shuo WangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.

Baihan LiSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.

Zhonglie PiaoOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-9328-4716

Chong HeClinical Immunology Translational Medicine Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China.

Fang LuClinical Immunology Translational Medicine Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China.

Zhao WangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.ORCID https://orcid.org/0000-0002-3628-5699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) is a chronic relapsing inflammatory disorder that requires objective and repeatable assessment of both tissue structure and disease activity for proper management of the disease. Multimodal endoscopy combining optical coherence tomography (OCT) and fluorescence imaging offers complementary structural and functional contrast for this purpose. However, conventional double-clad fiber catheters often suffer from multipath interference artifacts that degrade structural image fidelity. Here, we present a fully integrated dual-modality endoscopic system enabling artifact-suppressed OCT alongside high-sensitivity fluorescence imaging. We utilized this system to longitudinally monitor the progression of dextran sulfate sodium (DSS)-induced colitis in mice

Identifiers

PMID42610166

DOI10.1364/BOE.606192

PMCPMC13481091

What OpenQuestion 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 OpenQuestion graph.