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MITI Minimum Information guidelines for highly multiplexed tissue images

2021-08-21 · Denis Schapiro, Clarence Yapp, Artem Sokolov, Sheila M. Reynolds, Yu-An Chen, Damir Sudar, Yubin Xie, Jeremy L. Muhlich, Raquel Arias-Camison, Sarah Arena, Adam J. Taylor, Milen Nikolov, Madison Tyler, Jia-Ren Lin, Erik A. Burlingame, Human Tumor Atlas Network, Young H. Chang, Samouil L Farhi, Vésteinn Thorsson, Nithya Venkatamohan, Julia L. Drewes, Dana 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

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.

📄 PDF Abstract BibTeX arXiv:2108.09499

Code (2)

labsyspharm/miti 공식 구현

miti-consortium/miti 공식 구현

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