Evidence map›Paper›PMID 40127917›Full record

ArticleJournal of clinical pathology2025

Real-time histological evaluation of gastrointestinal tissue using non-linear microscopy.

Haihui Liao, Timothy D Weber, Rachel Yixuan Tan, Jeffrey Liu, James G Fujimoto, Seymour Rosen, Yue Sun

Abstract read
In one paragraph

Article in Journal of clinical pathology, 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

7 authors.

Haihui LiaoDepartment of Pathology, Mass General Brigham Salem Hospital, Salem, Massachusetts, USA.ORCID http://orcid.org/0000-0002-0098-4682
Timothy D WeberDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Rachel Yixuan TanDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Jeffrey LiuLexington High School, Lexington, Massachusetts, USA.
James G FujimotoDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Seymour RosenDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Yue SunDepartment of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA ysun@bidmc.harvard.edu.ORCID http://orcid.org/0009-0007-4499-5221

Funding

Increasing nerve-sparing radical prostatectomy rates using intraoperative nonlinear microscopyR01CA249151 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FUJIMOTO, JAMES G · 2021 to 2025
$2.3M
Omniview tethered capsule for low cost, non-endoscopic Barrett's esophagus screening in unsedated patientsR01CA252216 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FUJIMOTO, JAMES G · 2020 to 2022
$1.0M
NCI NIH HHS R01 CA249151NCI NIH HHS R01 CA252216
6 · The paper itself

Abstract

aimOver the past several decades, optical sectioning technologies have emerged as valuable tools for evaluating tissue histology. Unlike conventional tissue sectioning, these technologies allow for real-time intraoperative assessments and more efficient tissue triage. In the era of digital pathology, the demand for high-quality, high-throughput optical sectioning platforms is increasing, as they eliminate the need for traditional slide preparation and scanning, potentially transforming anatomical pathology workflows. While non-linear microscopy (NLM) has demonstrated promise in histological evaluation across various tissue types, its application in gastrointestinal tissue assessment remains unexplored.

methodsThis study extends the use of NLM to gastrointestinal histology and develops an image atlas to highlight its potential as an automated digital pathology platform.

resultsOur results indicate that NLM generates diagnostic-quality images comparable to traditional H&E slides. Moreover, NLM provides valuable three-dimensional (3D) spatial information, improving clinical evaluations of key histological features such as depth of invasion, lymphovascular and perineural invasion, tumour budding and margin assessment. Time-lapse videos further demonstrate NLM's capability to capture 3D histological structures up to a depth of approximately 100 µm.

conclusionOur findings demonstrate that NLM can serve as an optical sectioning platform for gastrointestinal histology, providing both diagnostic-quality imaging and advanced 3D visualisation. The introduction of an NLM-based atlas has the potential to redefine anatomical pathology workflows and advance digital pathology image analysis.

Indexed as

Gastrointestinal NeoplasmsGastrointestinal TractMicroscopyHumansImaging, Three-DimensionalDiagnostic Techniques and ProceduresGASTROENTEROLOGYHistology

Identifiers

PMID40127917
PMCPMC12646108

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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.