When
Where
Title
High-Throughput Microscopy via Ptychographic Imaging
Abstract
High-throughput microscopic imaging is in demand across applications ranging from histopathology for disease and cancer detection to industrial metrology for defect identification. This dissertation presents ptychographic imaging with methods and algorithms that improve robustness and scalability for reliable high-throughput microscopy. First, a self-calibrating Fourier ptychographic microscopy framework is introduced that embeds image-formation physics into reconstruction to jointly estimate sample and system parameters, greatly reducing manual calibration; the algorithm is validated by imaging stain-free cervical cells under deep-ultraviolet illumination. Building on this framework, a compact deep-ultraviolet reflective FPM system for metrology is designed and implemented, delivering wide-field, high-resolution surface measurements validated on lens surfaces and chip standards. Furthermore, lensless ptychographic imaging is explored and improved by replacing mechanical scanning with RGB LED–array illumination and adding a coded phase mask before the sensor, enabling fast, reliable color and quantitative phase imaging of biomedical specimens over a large field of view. These works and results demonstrate strong potential for practical, high-throughput microscopy in real-world biomedical and metrology applications.
Please email Jini at jini@optics.arizona.edu or Ruilin at ruilinyou@arizona.edu for a Zoom link.