Our recent work has shown that high-throughput label-free cell classification with high accuracy can be achieved through a combination of time stretch quantitative phase imaging, microfluidics and deep learning. Such a technology holds promise for early detection of...
Mathworks® has recently featured our work on Deep Learning (DL) in Digital Engineering News. The article titled as Deep Learning Accelerates Product Development was posted by Randall Newton in Engineering Computing on May 1, 2018. Few words from the article...
RAISR (Rapid and Accurate Image Super Resolution) is an image processing algorithm reported by Google Research in 2016. The algorithm creates high resolution images from lower resolution images and is reportedly deployed on Google phones. The source code released on...
Mathworks® recently featured our physics-inspired edge detection algorithm, Phase Stretch Transform (PST) as a potential candidate for feature detection in biometrics, medical and computer vision applications in their article. The article received a lot of attention...
Professor Jalali and collaborators from four continents publish a thorough review of the Time Stretch technology in Nature Photonics. The review article explains how Time Stretch overcomes the speed limitations of electronic digitizers and enables ultrafast...
Mathworks® has featured our physics-inspired edge detection algorithm, Phase Stretch Transform (PST) as a potential candidate for feature detection in biometrics, medical and computer vision applications in their recent article. In the article, various example images...
