Sign in
BioinformaticsbioRxiv
Preprint

A multi-modal whole-slide image processing pipeline for quantitative mapping of tissue architecture, histopathology, and tissue microenvironment

Maomao CheniD, Hongqiang MaiD, Xuejiao Sun, Marc Schwartz, Randall E. BrandiD, Jianquan XuiD, Dimitrios S. Gotsis, Phuong Nguyen, Beverley A. MooreiD, Lori Snyder, Rhonda M. BrandiD, Yang LiuiD

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.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSchapiro '21Mardamshina '25Mangane '25Kim '23Mansfield '25Muhlich '22
69% semantic matchBioinformatics
Denis Schapiro, Artem Sokolov, Clarence Yapp+24 more·Nature Methods·Nov 25, 2021· 243 citations