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Statements

Subject Item
n2:RIV%2F00216208%3A11110%2F14%3A10285732%21RIV15-MSM-11110___
rdf:type
skos:Concept n20:Vysledek
rdfs:seeAlso
http://dx.doi.org/10.1364/OE.22.031263
dcterms:description
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 each image, 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 with high 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 helps facilitate live cell studies with single molecule localization microscopy. 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 each image, 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 with high 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 helps facilitate live cell studies with single molecule localization microscopy.
dcterms:title
High density 3D localization microscopy using sparse support recovery High density 3D localization microscopy using sparse support recovery
skos:prefLabel
High density 3D localization microscopy using sparse support recovery High density 3D localization microscopy using sparse support recovery
skos:notation
RIV/00216208:11110/14:10285732!RIV15-MSM-11110___
n3:aktivita
n12:P n12:I
n3:aktivity
I, P(ED1.1.00/02.0109), P(GBP302/12/G157), P(GP14-15272P), P(GPP205/12/P392)
n3:cisloPeriodika
25
n3:dodaniDat
n14:2015
n3:domaciTvurceVysledku
n16:6675581 n16:8242321 n16:5606276 n16:2095270
n3:druhVysledku
n10:J
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
19053
n3:idVysledku
RIV/00216208:11110/14:10285732
n3:jazykVysledku
n9:eng
n3:klicovaSlova
molecules; algorithm; images; storm; diffraction-limit; fluorescence microscopy; superresolution microscopy; optical reconstruction microscopy
n3:klicoveSlovo
n7:molecules n7:diffraction-limit n7:algorithm n7:fluorescence%20microscopy n7:storm n7:superresolution%20microscopy n7:images n7:optical%20reconstruction%20microscopy
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[016AB7DD6C76]
n3:nazevZdroje
Optics Express
n3:obor
n13:JA
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n5:ED1.1.00%2F02.0109 n5:GP14-15272P n5:GPP205%2F12%2FP392 n5:GBP302%2F12%2FG157
n3:rokUplatneniVysledku
n14:2014
n3:svazekPeriodika
22
n3:tvurceVysledku
Ovesný, Martin Hagen, Guy Michael Křížek, Pavel Švindrych, Zdeněk
n3:wos
000346368800118
s:issn
1094-4087
s:numberOfPages
14
n19:doi
10.1364/OE.22.031263
n18:organizacniJednotka
11110