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Intelligent Platelet Morphometry

delete2021-10-01
delete16
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OA
AI
Y
Yuqi Zhou
A
Akihiro Isozaki
A
Atsushi Yasumoto
T
Ting‐Hui Xiao
Y
Yutaka Yatomi
雷诚 cover
雷诚 (Cheng Lei)
K
Keisuke Goda *
DOI:10.1016/j.tibtech.2020.12.012delete
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Abstract

Abstract

En 中文
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 mor-phometry, which are expected to pave the way for a new class of diagnostics, pharmacometrics, and therapeutics.
Keywords:
DUAL ANTIPLATELET THERAPY
THROMBOSIS
BLOOD
MICROSCOPY
INFLAMMATION
MECHANISMS
DIAGNOSIS
DISEASE
AI Summary

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Journal

Trends in Biotechnology cover
Trends in Biotechnology
IF:
14.9
Papers:
3.8K
Citations:
2.0W

Organization

U
University of Tokyo
Scholars:
7.1W
Papers: 6.5W
Citations: 2.2K