Intelligent Platelet Morphometry.

Blood Platelets
antiplatelet therapy deep learning imaging flow cytometry platelet thrombosis

Journal

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

Informations de publication

Date de publication:
10 2021
Historique:
received: 08 10 2020
revised: 30 12 2020
accepted: 31 12 2020
pubmed: 30 1 2021
medline: 16 10 2021
entrez: 29 1 2021
Statut: ppublish

Résumé

Technological advances in image-based platelet analysis or platelet morphometry are critical for a better understanding of the structure and function of platelets in biological research as well as for the development of better clinical strategies in medical practice. Recently, the advent of high-throughput optical imaging and deep learning has boosted platelet morphometry to the next level by providing a new set of capabilities beyond what is achievable with traditional platelet morphometry, shedding light on the unexplored domain of platelet analysis. This Opinion article introduces emerging opportunities in 'intelligent' platelet morphometry, which are expected to pave the way for a new class of diagnostics, pharmacometrics, and therapeutics.

Identifiants

DOI: 10.1016/j.tibtech.2020.12.012 PMID: 33509656
pubmed: 33509656
pii: S0167-7799(21)00006-8
doi: 10.1016/j.tibtech.2020.12.012
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

978-989

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Interests K.G. is a shareholder of CYBO and Cupido.

Auteurs

Yuqi Zhou (Y)

Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.

Akihiro Isozaki (A)

Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan; Kanagawa Institute of Industrial Science and Technology, Kanagawa 213-0012, Japan.

Atsushi Yasumoto (A)

Department of Clinical Laboratory Medicine, Graduate School of Medicine, University of Tokyo, Tokyo 113-0033, Japan; Division of Laboratory and Transfusion Medicine, Hokkaido University Hospital, Sapporo 060-8648, Japan.

Ting-Hui Xiao (TH)

Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.

Yutaka Yatomi (Y)

Department of Clinical Laboratory Medicine, Graduate School of Medicine, University of Tokyo, Tokyo 113-0033, Japan.

Cheng Lei (C)

Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan; Institute of Technological Sciences, Wuhan University, Hubei 430072, China.

Keisuke Goda (K)

Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan; Institute of Technological Sciences, Wuhan University, Hubei 430072, China; Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA. Electronic address: goda@chem.s.u-tokyo.ac.jp.

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Classifications MeSH

questionsmedicales.fr › Systèmes sanguin et immunitaire › Sang › Cellules sanguines › Plaquettes › Intelligent Platelet Morphometry.