by jrondon | May 20, 2022 | Aydogan Ozcan, News |
FEATURED NEWS California NanoSystems Institute > Faculty News All-optical Phase Recovery and Quantitative Phase Imaging Performed Instantly Without a Computer All-optical phase recovery: diffractive computing for quantitative phase imaging. Engineers at UCLA...
by jrondon | Aug 24, 2021 | Aydogan Ozcan, Faculty News, Life Science, Member News, News |
FEATURED NEWS California NanoSystems Institute > UCLA Artificial Intelligence Re-stained Images of Tissue Biopsy Expedite Diagnoses Virtual transformation and re-staining of one tissue biopsy stain (H&E) into three special stains using deep neural networks....
by jrondon | Aug 17, 2021 | Aydogan Ozcan, News, Research |
FEATURED NEWS California NanoSystems Institute > 2021 > August Artificial Intelligence Re-stains Images of Tissue Biopsy with new Stains, Improving Accuracy of Diagnoses Virtual transformation and re-staining of one tissue biopsy stain (H&E) into three...
by jrondon | Aug 2, 2021 | Aydogan Ozcan, Faculty News, News |
FEATURED NEWS California NanoSystems Institute > Articles by: jrondon Deep learning and holography create a better point-of-care sensor Deep learning-based holographic point-of-care sensor. Image credit: Ozcan Lab @ UCLA (Image credit: Ozcan Lab at UCLA)...
by jrondon | Jul 29, 2021 | Aydogan Ozcan, Member News, News, Research |
FEATURED NEWS California NanoSystems Institute > Articles by: jrondon Deep learning improves image reconstruction in optical coherence tomography using less data Deep learning improves image reconstruction in optical coherence tomography using significantly less...
by jrondon | Jun 14, 2021 | Aydogan Ozcan, Member News, News |
FEATURED NEWS California NanoSystems Institute > Faculty News > Aydogan Ozcan Rapid measurement of aerosol volatility using a deep learning-based portable microscope A mobile and cost-effective device is designed to measure the volatility of particulate matter...
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