• Open Access

Coarse-graining of perplexity for the spatial distribution of molecules

Lili Xu, Chi Zhang, Soho Oyama, Manabu Machida, Tomoaki Kahyo, and Mitsutoshi Setou
Phys. Rev. E 109, 014402 – Published 10 January 2024

Abstract

Biological tissue consists of various molecules. Instead of focusing on a particular molecule, we consider the Shannon entropy which is calculated from the abundance of different molecules at each spot in the tissue. The spatial distribution of the Shannon entropy is of interest. In this paper, we first obtain the heat map of perplexity, whose logarithm is the entropy. To characterize the spatial variety of molecules, we propose a scalar k that is concerned with the coarse-graining of the perplexity heat map. To verify the usefulness of the number, experiments with mass spectrometry imaging were performed for mouse kidneys. We found that k has large values in the renal pelvis area, cortex area, veins, and arteries in the mouse kidney, whereas fractal dimensions fail to distinguish those regions.

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  • Received 11 May 2023
  • Accepted 10 December 2023

DOI:https://doi.org/10.1103/PhysRevE.109.014402

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Physics of Living Systems

Authors & Affiliations

Lili Xu1, Chi Zhang2, Soho Oyama1, Manabu Machida2,3,*, Tomoaki Kahyo1,4, and Mitsutoshi Setou1,2,4

  • 1Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
  • 2Department of Systems Molecular Anatomy, Institute for Medical Photonics Research, Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
  • 3Department of Informatics, Faculty of Engineering, Kindai University, Higashi-Hiroshima 739-2116, Japan
  • 4International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan

  • *machida@hiro.kindai.ac.jp

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Vol. 109, Iss. 1 — January 2024

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