Dissertation Defense: Maryam Baker, "Computational and Experimental Methods for Super-Resolution Imaging in Lensfree Microscopy"

When

11 a.m. to noon, Nov. 15, 2022

Abstract:

Conventional light microscopes lack the ability to produce high-resolution, large field-of-view images in an inexpensive and timely manner.  Although light microscopy is a common method for imaging pathology slides for disease detection and diagnosis, the capital and time constraints limit the ability to distribute these devices in point-of-care or low-resource settings and the ability to perform rapid disease diagnosis. Lensfree microscopes have emerged as economical and portable devices capable of producing images with high-resolution over a large field-of-view.  Lensfree microscopes utilize few components, needing only a light source, sample to image, a sensor to record the light scattered from the illuminated object and a computer to perform the imaging or object field reconstruction. Capable of producing amplitude and phase images, 3D volume images, and color images, the resolution of lensfree microscopes can be pushed further to expand the number of applications.  In this defense I discuss computational and experimental methods for continuing to push the resolution and sensitivity of these systems beyond the micron scale.