Diffractive Neural Networks for High‐Throughput Classification of Objects in Microfluidic Systems

The integration of optical imaging and machine learning on microfluidic platforms makes it possible to achieve high‐content, minimally invasive characterization of a population of samples on a single chip. As the analysis of this high‐content information is typically conducted in the electronic doma...

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Hlavní autoři:	Jingli Li, Steffen Schoenhardt, Jeffrey Harmon, Jochen Guck, Min Gu, Elena Goi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley-VCH 2026-03-01
Edice:	Advanced Photonics Research
Témata:	diffractive neural networks high‐throughput imaging flow cytometry microfluidic system optical machine learning two‐photon lithography
On-line přístup:	https://doi.org/10.1002/adpr.202500272
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