Visinity: Visual Spatial Neighborhood Analysis for Multiplexed Tissue Imaging Data.

ABSTRACT: New highly-multiplexed imaging technologies have enabled the study of tissues in unprecedented detail. These methods are increasingly being applied to understand how cancer cells and immune response change during tumor development, progression, and metastasis, as well as following treatment. Yet, existing analysis approaches focus on investigating small tissue samples on a per-cell basis, not taking into account the spatial proximity of cells, which indicates cell-cell interaction and specific biological processes in the larger cancer microenvironment. We present Visinity, a scalable visual analytics system to analyze cell interaction patterns across cohorts of whole-slide multiplexed tissue images. Our approach is based on a fast regional neighborhood computation, leveraging unsupervised

SUBMITTER: Warchol S 

PROVIDER: S-EPMC10043053 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature