Spatial analysis for highly multiplexed imaging data to identify tissue microenvironments

Ellis Patrick; Nicolas P Canete; Sourish S Iyengar; Andrew N Harman; Greg T Sutherland; Pengyi Yang

doi:10.1002/cyto.a.24729

Spatial analysis for highly multiplexed imaging data to identify tissue microenvironments

Cytometry A. 2023 Jul;103(7):593-599. doi: 10.1002/cyto.a.24729. Epub 2023 Mar 23.

Authors

Ellis Patrick^{1

2

3}, Nicolas P Canete^{2

3

4}, Sourish S Iyengar^{1

2}, Andrew N Harman^{3

5}, Greg T Sutherland^{5

6}, Pengyi Yang^{1

2

6

7}

Affiliations

¹ School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia.
² Sydney Precision Data Science Centre, The University of Sydney, Sydney, New South Wales, Australia.
³ Centre for Cancer Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, New South Wales, Australia.
⁴ Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
⁵ School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
⁶ Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
⁷ Computational Systems Biology Group, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia.

PMID: 36879360
DOI: 10.1002/cyto.a.24729

Abstract

Highly multiplexed in situ imaging cytometry assays have made it possible to study the spatial organization of numerous cell types simultaneously. We have addressed the challenge of quantifying complex multi-cellular relationships by proposing a statistical method which clusters local indicators of spatial association. Our approach successfully identifies distinct tissue architectures in datasets generated from three state-of-the-art high-parameter assays demonstrating its value in summarizing the information-rich data generated from these technologies.

Keywords: R; imaging; spatial analysis; statistics.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Image Cytometry*
Spatial Analysis*