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...
by jrondon | Jun 9, 2021 | Aydogan Ozcan, Member News, News, Research |
FEATURED NEWS California NanoSystems Institute > Faculty News > Aydogan Ozcan Faster holographic imaging using recurrent neural networks UCLA researchers demonstrated holographic imaging using recurrent neural networks (RNN). A human lung tissue section is...
by jrondon | Apr 26, 2021 | Faculty News, Member News, News |
FEATURED NEWS California NanoSystems Institute > Faculty News Dr. Donald Kohn honored with career achievement award Kohn was recognized for outstanding contributions to the field of cell and gene therapy by Tiare Dunlap Dr. Donald Kohn, distinguished professor of...
by jrondon | Mar 31, 2021 | Engineering, Faculty News, Member News, News |
FEATURED NEWS California NanoSystems Institute > CNSI at UCLA Century-old problem solved with first-ever 3D atomic imaging of an amorphous solid UCLA-led study captures the structure of metallic glass by Wayne Lewis At left, an experimental 3D atomic model of a...
by jrondon | Mar 26, 2021 | Adyogan Ozcan, Member News, News, Research |
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...
by jrondon | Mar 24, 2021 | Adyogan Ozcan, Faculty News, Member News, News, Research |
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...
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