MAPS: pathologist-level cell type annotation from tissue images through machine learning

MAPS: pathologist-level cell type annotation from tissue images through machine learning

Abstract Highly multiplexed protein imaging is emerging as a potent technique for analyzing protein distribution within cells and tissues in their native context. However, existing cell annotation methods utilizing high-plex spatial proteomics data are resource intensive and necessitate iterative ex...

Full description

Bibliographic Details
Main Authors: Muhammad Shaban, Yunhao Bai, Huaying Qiu, Shulin Mao, Jason Yeung, Yao Yu Yeo, Vignesh Shanmugam, Han Chen, Bokai Zhu, Jason L. Weirather, Garry P. Nolan, Margaret A. Shipp, Scott J. Rodig, Sizun Jiang, Faisal Mahmood
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-44188-w

Internet

https://doi.org/10.1038/s41467-023-44188-w

Similar Items