You are here: Home / Research / Deep Learning Cellular Tomography

Deep Learning Cellular Tomography

Professor Bahram Jalali, UCLA
When Feb 14, 2018
from 03:00 PM to 04:00 PM
Where Maroni Room, 11th Floor Roberts Building
Add event to calendar vCal







Bahram Jalali
Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095

February 14, 2018
University College London

High throughput screening of blood and other bodily fluids is essential for accurate identification of rare diseased cells among a large population of normal cells and such a system is a valuable early warning system for cancer and other deadly diseases. In this talk, we describe the successful integration of artificial intelligence (AI) with time stretch quantitative phase imaging (TS-QPI) and optofluidics. The system measures 16 biophysical parameters from each cell including biomass, size, and shape at more than 100,000 cells per seconds. It has an image capture rate of 50 GigaPixels per seconds with 12 terabytes of continuous data capture and has demonstrated classification of cancer cell lines in blood with high accuracy. In addition, new types of linear and nonlinear fluorescence microscopes will be described that employ radio-frequency and spectrotemporal structured illuminations to overcome the speed limitations of conventional image sensors. Integration of these fast bioimaging modalities with time stretch cellular tomography will offer classification and predictive capabilities far beyond the current state of the art.

Bahram Jalali is the Director of the Photonics Laboratory, the Northrop-Grumman Endowed Chair and Professor of Electrical and Computer Engineering at UCLA with joint appointments in Biomedical Engineering, California NanoSystems Institute (CNSI) and Department of Surgery at the UCLA School of Medicine. He received his Ph.D. in Applied Physics from Columbia University in 1989 and was with the Physics Research Division of Bell Laboratories in Murray Hill, New Jersey until 1992 before joining UCLA. He is a Fellow of IEEE, the Optical Society of America (OSA), the American Physical Society (APS), American Institute for Medical and Biological Engineering (AIMBE), and SPIE. He is the recipient of the R.W. Wood Prize from OSA, Aaron Kressel Award from IEEE, and IET Achievement Medal, and the Pioneer in Technology Award from Society of Brain Mapping & Therapeutics (SBMT). He was the Founder and CEO of Cognet Microsystems, a company acquired by Intel in 2001. He was elected into the Scientific American Top 50 and MIT Technology Review Magazine Top 10 in 2005.