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- Publisher Website: 10.1016/j.tibtech.2021.03.006
- Scopus: eid_2-s2.0-85109136909
- WOS: WOS:000718605300005
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Article: Toward Deep Biophysical Cytometry: Prospects and Challenges
Title | Toward Deep Biophysical Cytometry: Prospects and Challenges |
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Authors | |
Keywords | biomolecular basis biophysical cytometry deep learning multimodal cytometry standardization |
Issue Date | 1-Apr-2021 |
Publisher | Cell Press |
Citation | Trends in Biotechnology, 2021, v. 39, n. 12, p. 1249-1262 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/340671 |
ISSN | 2023 Impact Factor: 14.3 2023 SCImago Journal Rankings: 2.536 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lee, KCM | - |
dc.contributor.author | Guck, J | - |
dc.contributor.author | Goda, K | - |
dc.contributor.author | Tsia, KK | - |
dc.date.accessioned | 2024-03-11T10:46:18Z | - |
dc.date.available | 2024-03-11T10:46:18Z | - |
dc.date.issued | 2021-04-01 | - |
dc.identifier.citation | Trends in Biotechnology, 2021, v. 39, n. 12, p. 1249-1262 | - |
dc.identifier.issn | 0167-7799 | - |
dc.identifier.uri | http://hdl.handle.net/10722/340671 | - |
dc.description.abstract | <p>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.</p> | - |
dc.language | eng | - |
dc.publisher | Cell Press | - |
dc.relation.ispartof | Trends in Biotechnology | - |
dc.subject | biomolecular basis | - |
dc.subject | biophysical cytometry | - |
dc.subject | deep learning | - |
dc.subject | multimodal cytometry | - |
dc.subject | standardization | - |
dc.title | Toward Deep Biophysical Cytometry: Prospects and Challenges | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.tibtech.2021.03.006 | - |
dc.identifier.scopus | eid_2-s2.0-85109136909 | - |
dc.identifier.volume | 39 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | 1249 | - |
dc.identifier.epage | 1262 | - |
dc.identifier.eissn | 1879-3096 | - |
dc.identifier.isi | WOS:000718605300005 | - |
dc.identifier.issnl | 1879-3096 | - |