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• W3123193005 abstract "Technological advances in platelet analysis are critical for a better understanding of platelets, which are highly complex, dynamic, and multifunctional in nature. The advent of high-throughput imaging and deep learning has boosted traditional image-based platelet analysis or platelet morphometry to the next level, shedding light on the unexplored domain of platelet biology. Key methods for this ‘intelligent’ platelet morphometry include, but are not limited to, intelligent platelet aggregate classification and intelligent image-activated cell sorting. Intelligent platelet morphometry is expected to pave the way for a new class of diagnostics, pharmacometrics, and therapeutics. 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. 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. a stimulant that binds to a specific receptor and activates platelets. a treatment to prevent platelet activation by the use of antiplatelet drugs such as aspirin. a forward-propagation artificial deep neural network commonly used in image analysis. high-throughput bright-field and fluorescence imaging of flowing cells at >10 000 eps. high-throughput bright-field imaging of flowing cells at >100 000 eps. a type of imaging technique that can enhance the spatial resolution of an imaging system by overcoming the diffraction limit of light. high-throughput, high-resolution fluorescence imaging of flowing cells at >10 000 eps." @default.
• W3123193005 created "2021-02-01" @default.
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• W3123193005 date "2021-10-01" @default.
• W3123193005 modified "2023-10-12" @default.
• W3123193005 title "Intelligent Platelet Morphometry" @default.
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• W3123193005 doi "https://doi.org/10.1016/j.tibtech.2020.12.012" @default.
• W3123193005 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33509656" @default.
• W3123193005 hasPublicationYear "2021" @default.
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