Toward reproducible, scalable, and robust data analysis across multiplex tissue imaging platforms

Toward reproducible, scalable, and robust data analysis across multiplex tissue imaging platforms

Summary: The emergence of megascale single-cell multiplex tissue imaging (MTI) datasets necessitates reproducible, scalable, and robust tools for cell phenotyping and spatial analysis. We developed open-source, graphics processing unit (GPU)-accelerated tools for intensity normalization, phenotyping...

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Bibliographic Details
Main Authors: Erik A. Burlingame, Jennifer Eng, Guillaume Thibault, Koei Chin, Joe W. Gray, Young Hwan Chang
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Cell Reports: Methods
Subjects:
multiplex tissue imaging
GPU data science
breast cancer
systems biology
image analytics
Online Access:http://www.sciencedirect.com/science/article/pii/S2667237521001016

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http://www.sciencedirect.com/science/article/pii/S2667237521001016

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