LSPARCOM: Deep unfolded super-resolution microscopy

Gili Dardikman-Yoffe, Yonina C. Eldar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present a novel high-density single molecule localization microscopy technique, which combines a classical compressed sensing method with deep learning through an algorithm unfolding procedure, yielding a compact and robust neural network considering domain knowledge.

Original languageEnglish
Title of host publicationComputational Optical Sensing and Imaging, COSI 2020
PublisherThe Optical Society
ISBN (Electronic)9781557528209
StatePublished - 2020
Externally publishedYes
EventComputational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020 - Virtual, Online, United States
Duration: 22 Jun 202026 Jun 2020

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceComputational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020
Country/TerritoryUnited States
CityVirtual, Online
Period22/06/2026/06/20

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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