Abstract: Single-pixel imaging, the concept that an image can be captured via a single-pixel detector, is a cost-effective yet powerful technique to reduce data acquisition duration without sacrificing the image resolution when proper structured illumination patterns are introduced. Normally, the image reconstruction process is subject to the diffraction limit. We first studied the possibility of exploiting the information contained in the illumination patterns to enable a new form of single pixel localization microscopy (SPLM) for super-resolution. Additional considerations of the data statistics from quantum emitters that are anti-bunching are now taken into account for enhancement in localization precision.

Adviser: Dr. Ali Pezeshki
Co-Adviser: Dr. Randy Bartels
Non-ECE Member: Dr. Christopher Peterson
Member 3: Dr. Edwin Chong
Addional Members: N/A

Publications:
Maxine Xiu, Jeff Field, Randy Bartels, and Ali Pezeshki, "Fisher information and the Cramér–Rao lower bound in single-pixel localization microscopy with spatiotemporally modulated illumination," J. Opt. Soc. Am. A 40, 185-203 (2023)

Program of Study:
ECE 502
ECE 503
ECE 513
ECE 514
ECE 520
ECE 652
ECE 653
MATH 517