Chemometric challenges in development of paper-based analytical devices: Optimization and image processing

Although microfluidic paper-based analytical devices (μPADs) get a lot of attention in the scientific literature, they rarely reach the level of commercialization. One possible reason for this is a lack of application of machine learning techniques supporting the design, optimization and fabrication...

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Veröffentlicht in:	Analytica chimica acta Jg. 1101; S. 1 - 8
Hauptverfasser:	Hamedpour, Vahid, Oliveri, Paolo, Leardi, Riccardo, Citterio, Daniel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 08.03.2020
Schlagworte:	D-optimal design Design of experiments Image processing algorithm Mathematical morphology recognition (MMR) Microfluidic paper-based analytical devices (μPADs) Optimization Microfluidic paper-based analytical devices (μPADs) D-optimal design Mathematical morphology recognition (MMR) Design of experiments Image processing algorithm Optimization
ISSN:	0003-2670, 1873-4324, 1873-4324
Online-Zugang:	Volltext
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