Keisuke Goda: Decoding Platelet Phenotypes in COVID-19 With Optofluidic Imaging
Keisuke Goda, Professor at The University of Tokyo, shared a post on LinkedIn about a recent article he and his colleagues co-authored, published in Microchemical Journal, adding:
“I am happy to share my group’s 14th paper of the year.
Our latest study used optofluidic imaging to profile circulating platelets in 263 patients with COVID-19 and investigate how antithrombotic therapies affect platelet phenotypes.
Using deep learning-based image analysis, we were able to distinguish different treatment groups over time.
Interestingly, antiplatelet therapy showed only limited suppression of platelet-leukocyte aggregation, while both single and dual antiplatelet therapies were associated with distinct changes in platelet morphology and composition.
These findings highlight the potential of image-based platelet profiling to go beyond conventional platelet counts and provide a more detailed view of treatment-associated changes in platelet biology.”
Title: Revealing the effects of antithrombotic therapies on circulating platelets in COVID-19 patients by optofluidic imaging
Authors: Hongqian Zhang, Yuqi Zhou, Masako Nishikawa, Junyu Chen, Huidong Wang, Chuiming Kong, Yuanyue Chen, Hiroshi Kanno, Takeya Tsutsumi, Makoto Kurano, Eriko Morishita, Yutaka Yatomi, Keisuke Goda
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