Aydogan Ozcan - California NanoSystems Institute

August 27, 2023 | Universal transformations of spatially varying polarization fields

by jrondon | Aug 27, 2023

$August 16, 2023 | Universal Linear Processing of Spatially Incoherent Light Through Diffractive Optical Networks$

August 16, 2023 | Universal Linear Processing of Spatially Incoherent Light Through Diffractive Optical Networks

by jrondon | Aug 17, 2023

$July 22, 2023 | Diffractive networks enable quantitative phase imaging (QPI) through random diffusers$

July 22, 2023 | Diffractive networks enable quantitative phase imaging (QPI) through random diffusers

by jrondon | Jul 22, 2023

March 6, 2023 | AI-based staining of biological samples

by jrondon | Mar 6, 2023

FEATURED NEWS California NanoSystems Institute > Featured News AI-based staining of biological samples The standard histological staining vs. deep learning-based virtual staining. (Image Ozcan Lab / UCLA) Histological staining, a principal tool for tissue...

December 8, 2022 | 3D-printed decoder, AI-enabled image compression could enable higher-res displays

by mroseboro | Dec 8, 2022 | 0 comments

FEATURED NEWS California NanoSystems Institute > Featured News 3D-printed decoder, AI-enabled image compression could enable higher-res displays By Wayne Lewis The system uses an algorithm that encodes a high-resolution image to a lower-resolution one, and then...

« Older Entries

August 27, 2023 | Universal transformations of spatially varying polarization fields

August 16, 2023 | Universal Linear Processing of Spatially Incoherent Light Through Diffractive Optical Networks

July 22, 2023 | Diffractive networks enable quantitative phase imaging (QPI) through random diffusers

March 6, 2023 | AI-based staining of biological samples

December 8, 2022 | 3D-printed decoder, AI-enabled image compression could enable higher-res displays

Recent Posts

Recent Comments

Archives

Categories

Meta

CNSI

Social Media