MITI Minimum Information guidelines for highly multiplexed tissue images

Denis Schapiro, Clarence Yapp, Artem Sokolov, Sheila M Reynolds, Yu-An Chen, Damir Sudar, Yubin Xie, Jeremy Muhlich, Raquel Arias-Camison, Milen Nikolov, Madison Tyler, Jia-Ren Lin, Erik A Burlingame, Sarah Arena, Human Tumor Atlas Network, Young H Chang, Samouil L Farhi, Vesteinn Thorsson, Nithya Vankatamohan, Julia L DrewesDana Pe'er, David A Gutman, Markus D Herrmann, Nils Gehlenborg, Peter Bankhead, Joseph T Roland, John M Herndon, Michael P. Snyder, Michael Angelo, Garry Nolan, Jason R Swedlow, Nikolaus Schultz, Daniel T Merrick, Sarah A Mazzilli, Ethan Cerami, Scott J Rodig, Sandro Santagata, Peter K Sorger

Research output: Contribution to journalReview articlepeer-review

Abstract

The imminent release of tissue atlases combining multichannel microscopy with single-cell sequencing and other omics data from normal and diseased specimens creates an urgent need for data and metadata standards to 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 for other microscopy data to highly multiplexed tissue images and traditional histology
Original languageEnglish
JournalNature Methods
Early online date11 Mar 2022
DOIs
Publication statusE-pub ahead of print - 11 Mar 2022

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