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

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

by mroseboro | Dec 8, 2022 | Adyogan Ozcan, Beyond CMOS, Engineering, Faculty News, Member News, News, Research | 0 comments

FEATURED NEWS California NanoSystems Institute > Faculty 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...
January 26, 2022 | Imaging Through Random Diffusers Instantly without a Computer

January 26, 2022 | Imaging Through Random Diffusers Instantly without a Computer

by mroseboro | Jan 26, 2022 | Adyogan Ozcan, Faculty News, Member News, News, Research, Tools for Discovery | 0 comments

FEATURED NEWS California NanoSystems Institute > UCLA Imaging Through Random Diffusers Instantly without a Computer Computational imaging without a computer: seeing through random diffusers at the speed of light. (Image credit: Ozcan Lab/UCLA Imaging through...
November 18, 2021 | New Imaging Technology Developed by UCLA Research Team May Reduce Need for Skin Biopsies

November 18, 2021 | New Imaging Technology Developed by UCLA Research Team May Reduce Need for Skin Biopsies

by mroseboro | Nov 18, 2021 | Adyogan Ozcan, Faculty News, News, Research, Tools for Discovery | 0 comments

FEATURED NEWS California NanoSystems Institute > Nanotechnology New Imaging Technology Developed by UCLA Research Team May Reduce Need for Skin Biopsies UCLA team achieves biopsy-free virtual histology of skin using deep learning and RCM (Image credit: Aydogan...
March 26, 2021 | Object classification through a single-pixel detector

March 26, 2021 | Object classification through a single-pixel detector

by jrondon | Mar 26, 2021 | Adyogan Ozcan, Member News, News, Research | 0 comments

FEATURED NEWS California NanoSystems Institute > Articles by: jrondon Object classification through a single-pixel detector   by Maxim Batalin UCLA researchers created a single-pixel machine vision system which can encode the spatial information of objects into the...
March 24, 2021 | 3D fluorescence microscopy gets a boost using recurrent neural networks

March 24, 2021 | 3D fluorescence microscopy gets a boost using recurrent neural networks

by jrondon | Mar 24, 2021 | Adyogan Ozcan, Faculty News, Member News, News, Research | 0 comments

FEATURED NEWS California NanoSystems Institute > 2021 > March 3D fluorescence microscopy gets a boost using recurrent neural networks Recurrent neural network-based 3D fluorescence image reconstruction framework. (Image Credit: Ozcan Lab, UCLA) Rapid 3D...
January 22, 2021 | Autofocusing of microscopy images using deep learning

January 22, 2021 | Autofocusing of microscopy images using deep learning

by jrondon | Jan 22, 2021 | Adyogan Ozcan, Faculty News, Member News, News, Research, Tools for Discovery | 0 comments

FEATURED NEWS California NanoSystems Institute > Faculty News > Adyogan Ozcan Autofocusing of microscopy images using deep learning   UCLA researchers created a deep learning-based autofocusing technique (termed Deep-R) for bringing microscopy images into focus...
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Recent Posts

  • May 19, 2023 | UCLA team uses artificial intelligence to predict landslides
  • May 17, 2023 | UCLA Engineering Professor Named Editor-in-Chief of Major Scientific Journal
  • May 15, 2023 | Quantum physics proposes a new way to study biology – and the results could revolutionize our understanding of how life works
  • May 15, 2023 | CNSI member Jason Cong receives the “Global Industry Leader” award from ChipEx’2023
  • May 11, 2023 | Harran group awarded NSF grant to study small molecule protein mimics

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