Our laboratory goal is to develop quantitative thick-tissue optical imaging platforms for pre-clinical and clinical applications. We focus on three main areas: (a) design new optical tomographic imaging instrumentation; (b) develop new reconstruction algorithms for quantitative volumetric imaging; and (c) investigate optimal experimental and theoretical parameters for functional, molecular, and dynamic optical imaging.
6/29/2026: Dr. Condell Eastmond successfully defended his thesis titled “Modeling, Simulation, and Deep Learning for Enhanced fNIRS Neuroimaging in Real-World Conditions.” During his time with the lab, Condell was awarded the NIH F31 fellowship, was nominated as a GEM Associate Fellow, and authored publications such as "Deep learning in fNIRS: a review". Thanks for all of your great work Condell!
9/2/2026: Congratulations to Dr. Radev on his first NIH R01 award, supporting a four-year collaboration with our lab (co-I) to advance fNIRS analysis through biophysical simulation, generative AI, and Bayesian inference.
9/8/2026: Their manuscript titled "Deep Learning Framework for 3D Fluorescence Lifetime Estimation" has been accepted for publication in Journal of Biophotonics!
9/8/2026: Zobia has been selected as a winner to receive the Jo Anne and David Kelch ’60 Undergraduate Research Award for the Fall 2026 semester for her application titled “Quantitative 3D Mesoscopic Fluorescence Lifetime Imaging of Cancer-Targeted Therapy Delivery in Biologically Relevant Tumor Models.” Congratulations on this outstanding achievement!