High density 3D localization microscopy using sparse support recovery

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F14%3A10285732" target="_blank" >RIV/00216208:11110/14:10285732 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1364/OE.22.031263" target="_blank" >http://dx.doi.org/10.1364/OE.22.031263</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1364/OE.22.031263" target="_blank" >10.1364/OE.22.031263</a>

Jazyk výsledku

angličtina

Název v původním jazyce

High density 3D localization microscopy using sparse support recovery

Popis výsledku v původním jazyce

Single-molecule localization microscopy methods offer high spatial resolution, but they are not always suitable for live cell imaging due to limited temporal resolution. One strategy is to increase the density of photoactivated molecules present in eachimage, however suitable analysis algorithms for such data are still lacking. We present 3denseSTORM, a new algorithm for localization microscopy which is able to recover 2D or 3D super-resolution images from a sequence of diffraction limited images withhigh densities of photoactivated molecules. The algorithm is based on sparse support recovery and uses a Poisson noise model, which becomes critical in low-light conditions. For 3D data reconstruction we use the astigmatism and biplane imaging methods. We derive the theoretical resolution limits of the method and show examples of image reconstructions in simulations and in real 2D and 3D biological samples. The method is suitable for fast image acquisition in densely labeled samples and

Název v anglickém jazyce

High density 3D localization microscopy using sparse support recovery

Popis výsledku anglicky

Single-molecule localization microscopy methods offer high spatial resolution, but they are not always suitable for live cell imaging due to limited temporal resolution. One strategy is to increase the density of photoactivated molecules present in eachimage, however suitable analysis algorithms for such data are still lacking. We present 3denseSTORM, a new algorithm for localization microscopy which is able to recover 2D or 3D super-resolution images from a sequence of diffraction limited images withhigh densities of photoactivated molecules. The algorithm is based on sparse support recovery and uses a Poisson noise model, which becomes critical in low-light conditions. For 3D data reconstruction we use the astigmatism and biplane imaging methods. We derive the theoretical resolution limits of the method and show examples of image reconstructions in simulations and in real 2D and 3D biological samples. The method is suitable for fast image acquisition in densely labeled samples and

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Optics Express

ISSN

1094-4087

e-ISSN

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Svazek periodika

22

Číslo periodika v rámci svazku

25

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

31263-31276

Kód UT WoS článku

000346368800118

EID výsledku v databázi Scopus

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