Toward Deep Biophysical Cytometry: Prospects and Challenges.

Biomarkers Biophysics Flow Cytometry / methods Microfluidics / methods Optical Imaging / methods
biomolecular basis biophysical cytometry deep learning multimodal cytometry standardization

Journal

Trends in biotechnology
ISSN: 1879-3096
Titre abrégé: Trends Biotechnol
Pays: England
ID NLM: 8310903

Informations de publication

Date de publication:
12 2021
Historique:
received: 25 11 2020
revised: 15 03 2021
accepted: 15 03 2021
pubmed: 26 4 2021
medline: 24 3 2022
entrez: 25 4 2021
Statut: ppublish

Résumé

The biophysical properties of cells reflect their identities, underpin their homeostatic state in health, and define the pathogenesis of disease. Recent leapfrogging advances in biophysical cytometry now give access to this information, which is obscured in molecular assays, with a discriminative power that was once inconceivable. However, biophysical cytometry should go 'deeper' in terms of exploiting the information-rich cellular biophysical content, generating a molecular knowledge base of cellular biophysical properties, and standardizing the protocols for wider dissemination. Overcoming these barriers, which requires concurrent innovations in microfluidics, optical imaging, and computer vision, could unleash the enormous potential of biophysical cytometry not only for gaining a new mechanistic understanding of biological systems but also for identifying new cost-effective biomarkers of disease.

Identifiants

DOI: 10.1016/j.tibtech.2021.03.006 PMID: 33895013
pubmed: 33895013
pii: S0167-7799(21)00064-0
doi: 10.1016/j.tibtech.2021.03.006
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1249-1262

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Kelvin C M Lee (KCM)

Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong.

Jochen Guck (J)

Max Planck Institute for the Science of Light, and Max-Planck-Zentrum für Physik und Medizin, 91058 Erlangen, Germany; Department of Physics, Friedrich-Alexander Universität Erlangen-Nürnberg, 91058 Erlangen, Germany.

Keisuke Goda (K)

Department of Chemistry, The University of Tokyo, Tokyo 113-0033, Japan; Institute of Technological Sciences, Wuhan University, Hubei 430072, China; Department of Bioengineering, University of California, Los Angeles, California 90095, USA.

Kevin K Tsia (KK)

Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong; Advanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, New Territories, Hong Kong. Electronic address: tsia@hku.hk.

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Classifications MeSH

questionsmedicales.fr › Facteurs biologiques › Marqueurs biologiques › Toward Deep Biophysical Cytometry: Prospects...
questionsmedicales.fr › Disciplines des sciences naturelles › Physique › Biophysique › Toward Deep Biophysical Cytometry: Prospects...
questionsmedicales.fr › Techniques d'investigation › Techniques cytologiques › Cytophotométrie › Cytométrie en flux › Toward Deep Biophysical Cytometry: Prospects...
questionsmedicales.fr › Technologie, industrie et agriculture › Technologie › Miniaturisation › Microtechnologie › Microfluidique › Toward Deep Biophysical Cytometry: Prospects...
questionsmedicales.fr › Techniques d'investigation › Imagerie optique › Toward Deep Biophysical Cytometry: Prospects...