PhD Candidate
University of California, Berkeley
Areas of Interest
- Physical Electronics
- Signal Processing
- Computational Imaging
Poster
Computational imaging for 3D refractive index microscopy
Abstract
3D refractive index microscopy is a computational imaging technique that provides a label-free method to understand the structure of complex cells, such as embryos. Past methods have used angled illumination to capture 3D information about the sample, but we find in practice that more diverse information needs to be captured for accurate reconstructions of thick samples. Here, I will introduce a novel microscope design that uses detection-side pupil coding with a spatial light modulator in concert with angled illumination to capture 3D information. I will show that by using this illumination- and detection-side coding, we capture more diverse measurements, leading to gains in the reconstruction of embryo-like objects. By additionally using physics-based end-to-end learning, I will show how we can optimize the pupil coding schemes for 3D reconstructions, leading to an improved 3D refractive index computational microscope.
Bio
Regina Eckert is a PhD Candidate in Electrical Engineering and Computer Sciences with Professor Laura Waller’s Computational Imaging Lab at the University of California, Berkeley. She is interested in better understanding how to jointly design computation and optics for next-generation imaging capabilities. She is also passionate about increasing the inclusivity of STEM spaces for underrepresented communities. Regina graduated with a Bachelor of Science in Electrical Engineering from the University of New Mexico in 2015.
