| Literature DB >> 33895013 |
Kelvin C M Lee1, Jochen Guck2, Keisuke Goda3, Kevin K Tsia4.
Abstract
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.Entities:
Keywords: biomolecular basis; biophysical cytometry; deep learning; multimodal cytometry; standardization
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Year: 2021 PMID: 33895013 DOI: 10.1016/j.tibtech.2021.03.006
Source DB: PubMed Journal: Trends Biotechnol ISSN: 0167-7799 Impact factor: 19.536