Device invented by UCLA professor uses deep learning and photonic time stretch to analyze 36 …

Home > Press > Device invented by UCLA professor uses deep learning and photonic time stretch to analyze 36 million images per second UCLA’s Claire Lifan Chen and Ata Mahjoubfar with the new device, which can image cancer cells extremely quickly and without damaging blood samples.Credit: Tunde Akinloye/CNSI Abstract:Scientists at the California NanoSystems Institute at UCLA have developed a new technique for identifying cancer cells in blood samples faster and more accurately than the current standard methods. Device invented by UCLA professor uses deep learning and photonic time stretch to analyze 36 million images per second Los Angeles, CA | Posted on April 14th, 2016 In one common approach to testing for cancer, doctors add biochemicals to blood samples. Those biochemicals attach biological “labels” to the cancer cells, and those…


Link to Full Article: Device invented by UCLA professor uses deep learning and photonic time stretch to analyze 36 …