Cell Biophysics–Physiological Contexts, from Organism to Cell, In Vivo to In Silico Models: One Collaboratory’s Perspective

Here we present a retrospective, integrative review of the approaches and discoveries of our “collaboratory”, a meta-laboratory comprising cross-disciplinary collaborations across laboratories at fourteen different universities and clinics in seven different countries with shared lead investigators. By tying together insights from four decades of research and discovery, applied across cell types, as well as different tissues, organ systems, and organisms, we have aimed to elucidate the interplay between organisms’ movement and the physiology of their tissues, organs, and organ systems’ resident cells. We highlight the potential of increasing imaging and computing power, as well as machine learning/artificial intelligence approaches, to delineate the Laws of Biology. Codifying these laws will provide a foundation for the future, to promote not only the discovery of underpinning mechanisms but also the sustainability of our natural resources, from our brains to our bones, which serve as veritable “hard drives”, physically rendering a lifetime of cellular experiences and millennia of evolution.

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Publication Details

Journal
Biophysica
Published
2026-01-14
DOI
https://doi.org/10.3390/biophysica6010005
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
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article

Cell Biophysics–Physiological Contexts, from Organism to Cell, In Vivo to In Silico Models: One Collaboratory’s Perspective

Sara McBride-Gagyi, Lucy Ngo, Eric J. Anderson, Melissa L. Knothe Tate
Biophysica
Cell Image Analysis Techniques
article

Cell Biophysics–Physiological Contexts, from Organism to Cell, In Vivo to In Silico Models: One Collaboratory’s Perspective

Sara McBride-Gagyi, Lucy Ngo, Eric J. Anderson, Melissa L. Knothe Tate
article en

Abstract

Here we present a retrospective, integrative review of the approaches and discoveries of our “collaboratory”, a meta-laboratory comprising cross-disciplinary collaborations across laboratories at fourteen different universities and clinics in seven different countries with shared lead investigators. By tying together insights from four decades of research and discovery, applied across cell types, as well as different tissues, organ systems, and organisms, we have aimed to elucidate the interplay between organisms’ movement and the physiology of their tissues, organs, and organ systems’ resident cells. We highlight the potential of increasing imaging and computing power, as well as machine learning/artificial intelligence approaches, to delineate the Laws of Biology. Codifying these laws will provide a foundation for the future, to promote not only the discovery of underpinning mechanisms but also the sustainability of our natural resources, from our brains to our bones, which serve as veritable “hard drives”, physically rendering a lifetime of cellular experiences and millennia of evolution.

BiophysicaVol. 6(1)
Colorado School of Mines (US), UNSW Sydney (AU), The Ohio State University (US), Blue Mountain College (US)
Responsible consumption and production
Openalex Percentile: Top 89%
Cell Image Analysis Techniques
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Cell Biophysics–Physiological Contexts, from Organism to Cell, In Vivo to In Silico Models: One Collaboratory’s Perspective — Sara McBride-Gagyi, Lucy Ngo, et al. · Biophysica (2026) | TGRS Research Map | TGRS