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Lock-in Imaging Below Diffraction Limit
02 Apr 2020 | | Contributor(s):: Ali Shakouri
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Computational Imaging with Few Photons or Electrons
19 Feb 2020 | | Contributor(s):: Vivek K. Goyal
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Vivek K. Goyal
Vivek K. Goyal is Associate Professor of Electrical and Computer Engineering at Boston University. He received degrees from the University of Iowa (BS 1993; BSE 1993) and the University of...
https://nanohub.org/members/278953
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Toward a Thinking Microscope: Deep Learning-Enabled Computational Microscopy and Sensing
29 Jan 2020 | | Contributor(s):: Aydogan Ozcan
In this presentation, I will provide an overview of some of our recent work on the use of deep neural networks in advancing computational microscopy and sensing systems, also covering their biomedical applications.
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Advances in Computational and Quantum Imaging Workshop
28 Jan 2020 |
The purpose of the workshop is to bring different communities together, review recent theoretical and experimental advances and explore synergetic collaborations. The workshop aligns well with the significant investments in quantum technologies through the National Quantum Initiative in the...
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Imaging Sciences at the Oak Ridge National Laboratory: Identity Sciences, Advanced Manufacturing, Computational Imaging, Machine Learning, and Super Computing
03 Jan 2019 | | Contributor(s):: Hector J. Santos-Villalobos
Dr. Santos takes us on the journey of working at the Oak Ridge National Laboratory as an imaging scientist. He showcases work in the areas of Identity Sciences (i.e., biometrics), Machine Learning, and Computational Imaging. Some application to discuss are coded source neutron imaging,...
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Computational Imaging From Nanoscopic to Astronomical Scales
29 Jun 2017 | | Contributor(s):: Oliver S. Cossairt
In this talk, I will provide an overview of computational imaging technologies under development by the NU Comp Photo Lab, covering a large span of physical scales: from the nanoscopic to the astronomic. First, I will introduce a Synthetic Aperture Visual Imaging (SAVI) technique to image at...