Jalali Lab

News & Announcements

World’s Fastest Time-of-Flight Camera

Time-of-flight 3D imaging is the key technology in autonomous cars, robotics, and remote sensing. Building on more than 20 years of research on photonic time stretch data acquisition, our laboratory recently demonstrated the world’s fastest time of flight 3D camera....

Research on Deep Cytometry Published in Scientific Reports

Our recent work "Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry" which shows that high-throughput label-free cell classification with high accuracy can be achieved through a combination of time stretch quantitative phase...

Press Coverage

Diagnostic World

Article titled "Time Stretch Microscopy And Machine Learning: Powerful Tools For Cancer Diagnostics" featured on Diagnostics World News spotlights out research work on AI Time Stretch Microscope. link

Optics & Photonics

Postdoctoral scholar Keisuke Goda (2007-2012) appointed Full Professor at University of Tokyo.


In February 2016, Jalali-Lab released its code for the Phase Stretch Transform (PST) on Github, the main open source software repository as well as on Matlab File Exchange. PST is the edge detection algorithm inspired by the physics of Photonic Time Stretch invented by Jalali-lab. The algorithm received extraordinary endorsements by the software and image processing community.

Leaders in Pharmaceutical Business Intelligence (LPBI)

Leaders in Pharmaceutical Business Intelligence (LPBI) Group publish an article titled "Microscope uses nanosecond-speed laser and deep learning to detect cancer cells more efficiently" highlighting our recent research work on AI Time Stretch Microscope. link


Mathworks has taken deep interest in our work on AI Time Stretch Microscope. A recent article on their blog has highlighted the use of MATLAB for physical modeling, image processing, and machine learning in our recent research work.

Scientific Reports

Jalali-Lab recent publication entitled "Deep Learning in Label-free Cell Classification" has been viewed more than 33,000 times in less than 5 months following its publication. link


The lab group picture
The lab group picture
The lab group picture
The lab group picture
The lab group picture