Intelligent Platelet Morphometry

Yuqi Zhou; Akihiro Isozaki; Atsushi Yasumoto; Ting-Hui Xiao; Yutaka Yatomi; Cheng Lei; Keisuke Goda

doi:10.1016/j.tibtech.2020.12.012

Intelligent Platelet Morphometry

Trends Biotechnol. 2021 Oct;39(10):978-989. doi: 10.1016/j.tibtech.2020.12.012. Epub 2021 Jan 25.

Authors

Yuqi Zhou¹, Akihiro Isozaki², Atsushi Yasumoto³, Ting-Hui Xiao¹, Yutaka Yatomi⁴, Cheng Lei⁵, Keisuke Goda⁶

Affiliations

¹ Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.
² Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan; Kanagawa Institute of Industrial Science and Technology, Kanagawa 213-0012, Japan.
³ 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.
⁴ Department of Clinical Laboratory Medicine, Graduate School of Medicine, University of Tokyo, Tokyo 113-0033, Japan.
⁵ Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan; Institute of Technological Sciences, Wuhan University, Hubei 430072, China.
⁶ 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: [email protected].

PMID: 33509656
DOI: 10.1016/j.tibtech.2020.12.012

Abstract

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.

Keywords: antiplatelet therapy; deep learning; imaging flow cytometry; platelet; thrombosis.

Publication types

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

MeSH terms

Blood Platelets*