LSPARCOM: Deep unfolded super-resolution microscopy

Gili Dardikman-Yoffe*, Yonina C. Eldar

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


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
Article numberJW5A.5
JournalOptics InfoBase Conference Papers
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


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