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In addition to their participation in physiological hemostasis, platelet aggregates are also involved in pathological thrombosis and play an important role in inflammation, atherosclerosis, and cancer metastasis. The aggregation of platelets is elicited by various agonists, but these platelet aggregates have long been considered indistinguishable and impossible to classify. Here we present an intelligent method for classifying them by agonist type. It is based on a convolutional neural network trained by high-throughput imaging flow cytometry of blood cells to identify and differentiate subtle yet appreciable morphological features of platelet aggregates activated by different types of agonists. The method is a powerful tool for studying the underlying mechanism of platelet aggregation and is expected to open a window on an entirely new class of clinical diagnostics, pharmacometrics, and therapeutics.<\/jats:p>","DOI":"10.7554\/elife.52938","type":"journal-article","created":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T20:00:29Z","timestamp":1589227229000},"update-policy":"https:\/\/doi.org\/10.7554\/elife.52938","source":"Crossref","is-referenced-by-count":86,"title":["Intelligent classification of platelet aggregates by agonist type"],"prefix":"10.7554","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1206-0049","authenticated-orcid":true,"given":"Yuqi","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Chemistry, University of Tokyo, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atsushi","family":"Yasumoto","sequence":"additional","affiliation":[{"name":"Department of Clinical Laboratory Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8439-4235","authenticated-orcid":true,"given":"Cheng","family":"Lei","sequence":"additional","affiliation":[{"name":"Department of Chemistry, University of Tokyo, Tokyo, Japan"},{"name":"Institute of Technological Sciences, Wuhan University, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chun-Jung","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Photonics, National Chiao Tung University, Hsinchu, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4505-2061","authenticated-orcid":true,"given":"Hirofumi","family":"Kobayashi","sequence":"additional","affiliation":[{"name":"Department of Chemistry, University of Tokyo, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunzhao","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Chemistry, University of Tokyo, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheng","family":"Yan","sequence":"additional","affiliation":[{"name":"Department of Chemistry, University of Tokyo, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chia-Wei","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Photonics, National Chiao Tung University, Hsinchu, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yutaka","family":"Yatomi","sequence":"additional","affiliation":[{"name":"Department of Clinical Laboratory Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6302-6038","authenticated-orcid":true,"given":"Keisuke","family":"Goda","sequence":"additional","affiliation":[{"name":"Department of Chemistry, University of Tokyo, Tokyo, Japan"},{"name":"Institute of Technological Sciences, Wuhan University, Hubei, China"},{"name":"Department of Bioengineering, University of California, Los Angeles, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4374","published-online":{"date-parts":[[2020,5,12]]},"reference":[{"key":"bib1","article-title":"TensorFlow: large-scale machine learning on heterogeneous distributed systems","volume-title":"arXiv","author":"Abadi","year":"2016","unstructured":"Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro C, Corrado GS, Davis A, Dean J, Devin M, Ghemawat S, Goodfellow I, Harp A, Irving G, Isard M, Jia Y, Jozefowicz R, Kaiser L, Kudlur M, Levenberg J, Mane D, Monga R, Moore S, Murray D, Olah C, Schuster M, Shlens J, Steiner B, Sutskever I, Talwar K, Tucker P, Vanhoucke V, Vasudevan V, Viegas F, Vinyals O, Warden P, Wattenberg M, Wicke M, Yu Y, Zheng X. 2016. 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