MITI minimum information guidelines for highly multiplexed tissue images

Human Tumor Atlas Network, Denis Schapiro, Clarence Yapp, Artem Sokolov, Sheila M. Reynolds, Yu An Chen, Damir Sudar, Yubin Xie, Jeremy Muhlich, Raquel Arias-Camison, Sarah Arena, Adam J. Taylor, Milen Nikolov, Madison Tyler, Jia Ren Lin, Erik A. Burlingame, Daniel L. Abravanel, Samuel Achilefu, Foluso O. Ademuyiwa, Andrew C. AdeyRebecca Aft, Khung Jun Ahn, Fatemeh Alikarami, Shahar Alon, Orr Ashenberg, Ethan Baker, Gregory J. Baker, Shovik Bandyopadhyay, Peter Bayguinov, Jennifer Beane, Winston Becker, Kathrin Bernt, Courtney B. Betts, Julie Bletz, Tim Blosser, Adrienne Boire, Genevieve M. Boland, Edward S. Boyden, Elmar Bucher, Raphael Bueno, Qiuyin Cai, Francesco Cambuli, Joshua Campbell, Song Cao, Wagma Caravan, Ronan Chaligné, Joseph M. Chan, Sara Chasnoff, Deyali Chatterjee, Alyce A. Chen, Hayan Lee

Research output: Contribution to journalComment/debate

29 Scopus citations

Abstract

The imminent release of tissue atlases combining multi-channel microscopy with single cell sequencing and other omics data from normal and diseased specimens creates an urgent need for data and metadata standards that guide data deposition, curation and release. We describe a Minimum Information about highly multiplexed Tissue Imaging (MITI) standard that applies best practices developed for genomics and other microscopy data to highly multiplexed tissue images and traditional histology.

Original languageEnglish
Pages (from-to)262-267
Number of pages6
JournalNature Methods
Volume19
Issue number3
DOIs
StatePublished - Mar 2022

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