Computational Optical Imaging

8:30-9:00: Computational imaging through ultra-thin endoscopes (Piestun, Rafael)

9:00-9:15: Improved resolution in structured illumination microscopy with 3D model-based restoration (Authors: Van, Cong Tuan Son; Shabani, Hasti; Preza, Chrysanthe)

9:15-9:45: Computational reconstruction of 100-plex Fluorescence Mosaics of whole-brain slices for Automated Analysis using Deep Neural Networks (Roysam, Badrinath)

9:45-10:00: Fundamental quantum bounds on the precision and accuracy of measuring molecular orientation (Authors: Zhang, Oumeng; Lew, Matthew D.)

10:30-11:00: Deep learning based phase imaging with uncertainty quantification (Authors: Tian, Lei; Xue, Yujia; Cheng, Shiyi; Li, Yunzhe)

11:00-11:30: Quantifying and Maximizing Imaging Accuracy in Single-Molecule Super-Resolution Microscopy (Authors: Mazidi, Hesam; Ding, Tianben; Nehorai, Arye; Lew, Matthew D.)

This workshop will encompass all aspects of computational imaging for optical bioimaging and microscopy. Computational imaging is distinguished from image processing by the role of computation in the image formation process and encompasses the goal of joint design of imaging system hardware and software. New computational imaging methods for biological optical microscopy enable super-resolution, 3D reconstruction, phase imaging, and digital aberration correction. Speakers will be chosen across a broad spread of biological applications from basic microscopy to neuroscience and stem cell biology.
 

CODE: 934g1
 

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[1] Organizers

1. Chrysanthe Preza
   Department of Electrical and Computer Engineering
   University of Memphis
   Memphis, Tennessee
2. Laura Waller
   Department of Electrical Engineering and Computer Sciences
   University of California
   Berkeley, California
3. Mujdat Cetin
   University of Rochester
   Department of Electrical and Computer Engineering
   University of Rochester
   Rochester, New York