HistoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.

ABSTRACT: Single-cell, spatially resolved omics analysis of tissues is poised to transform biomedical research and clinical practice. We have developed an open-source, computational histology topography cytometry analysis toolbox (histoCAT) to enable interactive, quantitative, and comprehensive exploration of individual cell phenotypes, cell-cell interactions, microenvironments, and morphological structures within intact tissues. We highlight the unique abilities of histoCAT through analysis of highly multiplexed mass cytometry images of human breast cancer tissues.

SUBMITTER: Schapiro D 

PROVIDER: S-EPMC5617107 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature