Search Results for author: Elias Nehme

Found 4 papers, 2 papers with code

Uncertainty Visualization via Low-Dimensional Posterior Projections

no code implementations12 Dec 2023 Omer Yair, Elias Nehme, Tomer Michaeli

In ill-posed inverse problems, it is commonly desirable to obtain insight into the full spectrum of plausible solutions, rather than extracting only a single reconstruction.

Image Restoration Uncertainty Quantification +1

Learning an optimal PSF-pair for ultra-dense 3D localization microscopy

no code implementations29 Sep 2020 Elias Nehme, Boris Ferdman, Lucien E. Weiss, Tal Naor, Daniel Freedman, Tomer Michaeli, Yoav Shechtman

A long-standing challenge in multiple-particle-tracking is the accurate and precise 3D localization of individual particles at close proximity.

DeepSTORM3D: dense three dimensional localization microscopy and point spread function design by deep learning

1 code implementation21 Jun 2019 Elias Nehme, Daniel Freedman, Racheli Gordon, Boris Ferdman, Lucien E. Weiss, Onit Alalouf, Reut Orange, Tomer Michaeli, Yoav Shechtman

Localization microscopy is an imaging technique in which the positions of individual nanoscale point emitters (e. g. fluorescent molecules) are determined at high precision from their images.

Super-Resolution

Deep-STORM: super-resolution single-molecule microscopy by deep learning

3 code implementations29 Jan 2018 Elias Nehme, Lucien E. Weiss, Tomer Michaeli, Yoav Shechtman

We present an ultra-fast, precise, parameter-free method, which we term Deep-STORM, for obtaining super-resolution images from stochastically-blinking emitters, such as fluorescent molecules used for localization microscopy.

Optics

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