Three-dimensional localization microscopy by deep learning

Elias Nehme; Boris Ferdman; Daniel Freedman; Lucien E. Weiss; Racheli Gordon-Soffer; Tal Naor; Reut Orange Kedem; Onit Alalouf; Tomer Michaeli; Yoav Shechtman

Three-dimensional localization microscopy by deep learning

Elias Nehme, Boris Ferdman, Daniel Freedman, Lucien E. Weiss, Racheli Gordon-Soffer, Tal Naor, Reut Orange Kedem, Onit Alalouf, Tomer Michaeli, Yoav Shechtman

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this talk I will describe how joint optimization of the microscope’s point-spread-function alongside the image processing algorithm, both using neural nets, enables dense emitter fitting for super-resolution microscopy and other challenging volumetric microscopy applications.

Original language	English
Journal	Optics InfoBase Conference Papers
State	Published - 2021
Event	3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2021 - Part of Imaging and Applied Optics Congress 2021 - Virtual, Online, United States Duration: 19 Jul 2021 → 23 Jul 2021

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Access to Document

https://opg.optica.org/abstract.cfm?uri=3d-2021-3W3G.5

Cite this

@article{e0fb4841d04f4ddc9dff3fa0b12c08a6,

title = "Three-dimensional localization microscopy by deep learning",

abstract = "In this talk I will describe how joint optimization of the microscope{\textquoteright}s point-spread-function alongside the image processing algorithm, both using neural nets, enables dense emitter fitting for super-resolution microscopy and other challenging volumetric microscopy applications.",

author = "Elias Nehme and Boris Ferdman and Daniel Freedman and Weiss, {Lucien E.} and Racheli Gordon-Soffer and Tal Naor and Kedem, {Reut Orange} and Onit Alalouf and Tomer Michaeli and Yoav Shechtman",

note = "Publisher Copyright: {\textcopyright} 2021 The Author(s); 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2021 - Part of Imaging and Applied Optics Congress 2021 ; Conference date: 19-07-2021 Through 23-07-2021",

year = "2021",

language = "אנגלית",

}

TY - JOUR

T1 - Three-dimensional localization microscopy by deep learning

AU - Nehme, Elias

AU - Ferdman, Boris

AU - Freedman, Daniel

AU - Weiss, Lucien E.

AU - Gordon-Soffer, Racheli

AU - Naor, Tal

AU - Kedem, Reut Orange

AU - Alalouf, Onit

AU - Michaeli, Tomer

AU - Shechtman, Yoav

PY - 2021

Y1 - 2021

N2 - In this talk I will describe how joint optimization of the microscope’s point-spread-function alongside the image processing algorithm, both using neural nets, enables dense emitter fitting for super-resolution microscopy and other challenging volumetric microscopy applications.

AB - In this talk I will describe how joint optimization of the microscope’s point-spread-function alongside the image processing algorithm, both using neural nets, enables dense emitter fitting for super-resolution microscopy and other challenging volumetric microscopy applications.

UR - http://www.scopus.com/inward/record.url?scp=85166461770&partnerID=8YFLogxK

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.conferencearticle???

AN - SCOPUS:85166461770

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

T2 - 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2021 - Part of Imaging and Applied Optics Congress 2021

Y2 - 19 July 2021 through 23 July 2021

ER -

Three-dimensional localization microscopy by deep learning

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this