Θ-Net: A Deep Neural Network Architecture for the Resolution Enhancement of Phase-Modulated Optical Micrographs <i>In Silico</i>

Optical microscopy is widely regarded to be an indispensable tool in healthcare and manufacturing quality control processes, although its inability to resolve structures separated by a lateral distance under ~200 nm has culminated in the emergence of a new field named <i>fluorescence nanoscopy</i>,...

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Bibliografiske detaljer

Principais autores:	Shiraz S. Kaderuppan, Anurag Sharma, Muhammad Ramadan Saifuddin, Wai Leong Eugene Wong, Wai Lok Woo
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-09-01
Serier:	Sensors
Fag:	deep neural networks image denoising computational phase-modulated nanoscopy label-free optical imaging biomedical imaging
Online adgang:	https://www.mdpi.com/1424-8220/24/19/6248
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