Thu, Feb 09, 2023 @ 01:30 PM - 03:00 PM
Thomas Lord Department of Computer Science
PhD Candidate: John Francis
Date: 02/09/23 (Thursday)
Committee: Mike Zyda, Carl Kesselman, Jernej Barbic, Scott Fraser, Kate White
The structural modeling of cells can be accomplished by integrating images of cellular morphology from multiple scales and modalities using a parts based approach. In this thesis, we demonstrate a method for combining the statistical distribution of structures from x-ray tomography and fluorescence microscopy using neural networks to predict the localization of high resolution components in low resolution modalities by using the single cell as a shared unit of transfer.
Audiences: Everyone Is Invited
Contact: Asiroh Cham