Evidence map›Paper›PMID 40510252›Full record

ArticleNpj imaging2025

Multimodal whole slide image processing pipeline for quantitative mapping of tissue architecture and tissue microenvironment.

Maomao Chen, Hongqiang Ma, Xuejiao Sun, Marc Schwartz, Randall E Brand, Jianquan Xu, Dimitrios S Gotsis, Phuong Nguyen, Beverley A Moore, Lori Snyder and 2 more

Abstract read
In one paragraph

Article in Npj imaging, 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. Article
  4. Review
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

12 authors.

Maomao ChenDepartments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213 USA.
Hongqiang MaDepartments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213 USA.
Xuejiao SunDepartments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213 USA.
Marc SchwartzDepartment of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA 15213 USA.
Randall E BrandDepartment of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA 15213 USA.
Jianquan XuDepartments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213 USA.
Dimitrios S GotsisGrainger College of Engineering, Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL USA.
Phuong NguyenDepartments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213 USA.
Beverley A MooreDepartment of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA 15213 USA.
Lori SnyderDepartment of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA 15213 USA.
Rhonda M BrandDepartment of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA 15213 USA.
Yang LiuDepartments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213 USA.

Funding

The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)P41EB031772 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Stephen A Boppart · 2022 to 2026
$7.6M
Imaging nanoscale chromatin folding in early carcinogenesisR01CA254112 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG · 2020 to 2025
$2.2M
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer riskR01CA232593 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG, UTTAM, SHIKHAR · 2019 to 2023
$2.1M
NCI NIH HHS R01 CA232593NCI NIH HHS R01 CA254112NIBIB NIH HHS P41 EB031772
6 · The paper itself

Abstract

Multi-modal, multiscale imaging is crucial for quantitative high-content spatial profiling. We present an integrated image processing pipeline for comprehensive tissue analysis that combines quantitative phase microscopy for tissue architecture mapping, hyper-plex fluorescence imaging for immune microenvironment profiling, and whole-slide histopathology. This approach enables detailed morphological mapping of tissue architecture and cell morphology, while simultaneously linking them to the functional states of individual cells across the entire slide. By analyzing tissue biopsies from patients with ulcerative colitis, we demonstrate the potential of this pipeline for quantitative spatial analysis of molecular markers related to mucosal healing. Open-source and compatible with conventional microscopy systems, this pipeline provides a powerful tool for research and clinical applications through its comprehensive integration of quantitative, high-content, and histological imaging modalities.

Indexed as

GastroenterologyImage processingPhase-contrast microscopyWide-field fluorescence microscopy

Identifiers

PMID40510252
PMCPMC12151862

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.