A framework for multiplex imaging optimization and reproducible analysis

Jennifer Eng; Elmar Bucher; Zhi Hu; Ting Zheng; Summer L. Gibbs; Koei Chin; Joe W. Gray

doi:10.1038/s42003-022-03368-y

Communications Biology (May 2022)

A framework for multiplex imaging optimization and reproducible analysis

Jennifer Eng,
Elmar Bucher,
Zhi Hu,
Ting Zheng,
Summer L. Gibbs,
Koei Chin,
Joe W. Gray

Affiliations

Jennifer Eng: Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University
Elmar Bucher: Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University
Zhi Hu: Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University
Ting Zheng: Cancer Early Detection Advanced Research Center, School of Medicine, Oregon Health and Science University
Summer L. Gibbs: Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University
Koei Chin: Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University
Joe W. Gray: Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University

DOI: https://doi.org/10.1038/s42003-022-03368-y
Journal volume & issue: Vol. 5, no. 1
pp. 1 – 11

Abstract

Read online

An approach for tissue image analysis applicable to highly multiplexed immunofluorescence imaging of the spatial distribution of multiple protein biomarkers is proposed, here applied to the analysis of multiplex IF using the multiplex imaging platform, CyCIF.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

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