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

Invited Speakers

Lei Tian

“Deep learning based phase imaging with uncertainty quantification”
Boston University

Matthew D. Lew

"Quantifying and Maximizing Imaging Accuracy in Single-Molecule Super-Resolution Microscopy."
Washington University Saint Louis

Rafael Piestun

“Computational imaging through ultra-thin endoscopes”
University of Colorado Boulder

Badri Roysam (with co-author Jahandar Jahanipour)

“Computational reconstruction of 100-plex Fluorescence Mosaics of whole-brain slices for Automated Analysis using Deep Neural Networks”
University of Houston