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231224s2017 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2017.2675200
|2 doi
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|a pubmed24n0898.xml
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|a eng
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|a Labouesse, Simon
|e verfasserin
|4 aut
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|a Joint Reconstruction Strategy for Structured Illumination Microscopy With Unknown Illuminations
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|c 2017
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 30.07.2018
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|a Date Revised 30.07.2018
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a The blind structured illumination microscopy strategy proposed by Mudry et al. is fully re-founded in this paper, unveiling the central role of the sparsity of the illumination patterns in the mechanism that drives super-resolution in the method. A numerical analysis shows that the resolving power of the method can be further enhanced with optimized one-photon or two-photon speckle illuminations. A much improved numerical implementation is provided for the reconstruction problem under the image positivity constraint. This algorithm rests on a new preconditioned proximal iteration faster than existing solutions, paving the way to 3D and real-time 2D reconstruction
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|a Journal Article
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|a Negash, Awoke
|e verfasserin
|4 aut
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|a Idier, Jerome
|e verfasserin
|4 aut
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|a Bourguignon, Sebastien
|e verfasserin
|4 aut
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|a Mangeat, Thomas
|e verfasserin
|4 aut
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|a Liu, Penghuan
|e verfasserin
|4 aut
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|a Sentenac, Anne
|e verfasserin
|4 aut
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|a Allain, Marc
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 26(2017), 5 vom: 02. Mai, Seite 2480-2493
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|x 1941-0042
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|g volume:26
|g year:2017
|g number:5
|g day:02
|g month:05
|g pages:2480-2493
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|u http://dx.doi.org/10.1109/TIP.2017.2675200
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