SCIMAP: A Python Toolkit for Integrated Spatial Analysis of Multiplexed Imaging Data

no code implementations • 3 May 2024 • Ajit J. Nirmal, Peter K. Sorger

Multiplexed imaging data are revolutionizing our understanding of the composition and organization of tissues and tumors.

Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data

1 code implementation • 10 Oct 2021 • Jared Jessup, Robert Krueger, Simon Warchol, John Hoffer, Jeremy Muhlich, Cecily C. Ritch, Giorgio Gaglia, Shannon Coy, Yu-An Chen, Jia-Ren Lin, Sandro Santagata, Peter K. Sorger, Hanspeter Pfister

Inspection of tissues using a light microscope is the primary method of diagnosing many diseases, notably cancer.

Descriptive

MITI Minimum Information guidelines for highly multiplexed tissue images

2 code implementations • 21 Aug 2021 • 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.