MiCASA is a new method for quantifying cellular organization

Andrew Sornborger; Jie Li; Cullen Timmons; Floria Lupu; Jonathan Eggenschwiler; Yousuke Takahama; Nancy R. Manley

doi:10.1038/ncomms15619

Nature Communications (May 2017)

MiCASA is a new method for quantifying cellular organization

Andrew Sornborger,
Jie Li,
Cullen Timmons,
Floria Lupu,
Jonathan Eggenschwiler,
Yousuke Takahama,
Nancy R. Manley

Affiliations

Andrew Sornborger: Department of Mathematics, University of California
Jie Li: Department of Genetics, Paul D. Coverdell Center, University of Georgia
Cullen Timmons: Department of Genetics, Paul D. Coverdell Center, University of Georgia
Floria Lupu: Department of Genetics, Paul D. Coverdell Center, University of Georgia
Jonathan Eggenschwiler: Department of Genetics, Paul D. Coverdell Center, University of Georgia
Yousuke Takahama: Division of Experimental Immunology, Institute for Genome Research, University of Tokushima
Nancy R. Manley: Department of Genetics, Paul D. Coverdell Center, University of Georgia

DOI: https://doi.org/10.1038/ncomms15619
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 10

Abstract

Read online

There are few methods available that can quantify relationships between cell types in tissue images. Here the authors present a quantitative method to evaluate cellular organization, validated in the mouse thymus and spinal cord, called Multitaper Circularly Averaged Spectral Analysis (MiCASA).

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal