Sorry, you need to enable JavaScript to visit this website.

Computational Bio-imaging Via Inverse Scattering

Optical imaging is a major research tool in the basic sciences, and is the only imaging modality that routinely enables non-ionized imaging with subcellular spatial resolutions and high imaging speeds. In biological imaging applications, however, optical imaging is limited by tissue scattering to short imaging depths. This prevents large-scale bio-imaging by allowing visualization of only the outer superficial layers of an organism, or specific components isolated from within the organism and prepared in-vitro. I present recent developments in our lab that design inverse-scattering methods to computationally unscramble the effects of scattering, enabling scatter-corrected, label-free, and fully volumetric imaging in optically thick samples. I will specifically discuss 1) novel computational microscope system designs that enable novel methods for data collection; and 2) the design and practical implementation of computational frameworks that enable robust inverse-scattering. Real-world bio-imaging will be demonstrated on multiple-scattering organisms popularly used in the basic-sciences. I will also discuss the limitations of this approach and discuss exciting directions for future work.

http://www.shwetadwipchowdhury.com/

 

Seminar Host
Doug Shepherd
Seminar Speaker
Shwetadwip Chowdhury
Seminar Speaker Affiliation
Department of Electrical and Computer Engineering, University of Texas at Austin
Seminar Date
Seminar Semester
Spring
Seminar Image
Shwetadwip Chowdhury