Welcome to the Computational Imaging Group!
The Computational Imaging Group (CIG) at Washington University in St. Louis pursues research on the development of advanced algorithms and mathematical tools for biomedical and industrial imaging.
Over the past two decades, there has been a significant paradigm shift in imaging research. Increasingly, researchers are coming to consensus that computation is a cornerstone of future imaging systems. Our research focuses on that aspect of imaging by developing computational methods that enable new imaging capabilities. Specifically, we aim to leverage the advances in optimization, machine learning, and statistical inference to design new models, algorithms, and systems for imaging. Our work is inherently interdisciplinary and has broad applications in biomedical imaging, defense, physical science, and industrial inspection. We extensively collaborate with researchers in optics, medicine, biology, as well as with those working in industry.
August 2018: New arXiv manuscript Single-shot holographic 3D particle-localization under multiple scattering.
July 2018: New arXiv manuscript signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization.
July 2018: Building a better microscope describes our NSF-sponsored project on high-resolution microscopy.