Automated detection and sorting of microencapsulation machine learning

Microfluidic-based microencapsulation requires significant oversight to prevent material and quality loss due to sporadic disruptions in fluid flow that routinely arise. State-of-the-art microcapsule production is laborious and relies on experts to monitor the process, e.g. through a microscope. Unn...

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Veröffentlicht in:	Lab on a chip 2019-05, Vol.19 (1), p.188-1817
Hauptverfasser:	Chu, Albert, Nguyen, Du, Talathi, Sachin S, Wilson, Aaron C, Ye, Congwang, Smith, William L, Kaplan, Alan D, Duoss, Eric B, Stolaroff, Joshua K, Giera, Brian
Format:	Artikel
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