Contrast-transfer-function phase retrieval based on compressed sensing

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Contrast-transfer-function phase retrieval based on compressed sensing. / Villanueva-Perez, Pablo; Arcadu, Filippo; Cloetens, Peter; Stampanoni, Marco.

I: Optics Letters, Vol. 42, Nr. 6, 15.03.2017, s. 1133-1136.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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Villanueva-Perez, Pablo ; Arcadu, Filippo ; Cloetens, Peter ; Stampanoni, Marco. / Contrast-transfer-function phase retrieval based on compressed sensing. I: Optics Letters. 2017 ; Vol. 42, Nr. 6. s. 1133-1136.

RIS

TY - JOUR

T1 - Contrast-transfer-function phase retrieval based on compressed sensing

AU - Villanueva-Perez, Pablo

AU - Arcadu, Filippo

AU - Cloetens, Peter

AU - Stampanoni, Marco

PY - 2017/3/15

Y1 - 2017/3/15

N2 - We report on a new contrast-transfer-function (CTF) phase-retrieval method based on the alternating direction method of multipliers (ADMMs), which allows us to exploit any compressed sensing regularization scheme reflecting the sparsity of the investigated object. The proposed iterative algorithm retrieves accurate phase maps from highly noisy single-distance projection microscopy data and is characterized by a stable convergence, not bounded to the prior knowledge of the object support or to the initialization strategy. Experiments on simulated and real datasets show that ADMM-CTF yields reconstructions with a substantial lower amount of artifacts and enhanced signal-to-noise ratio compared to the standard analytical inversion.

AB - We report on a new contrast-transfer-function (CTF) phase-retrieval method based on the alternating direction method of multipliers (ADMMs), which allows us to exploit any compressed sensing regularization scheme reflecting the sparsity of the investigated object. The proposed iterative algorithm retrieves accurate phase maps from highly noisy single-distance projection microscopy data and is characterized by a stable convergence, not bounded to the prior knowledge of the object support or to the initialization strategy. Experiments on simulated and real datasets show that ADMM-CTF yields reconstructions with a substantial lower amount of artifacts and enhanced signal-to-noise ratio compared to the standard analytical inversion.

U2 - 10.1364/OL.42.001133

DO - 10.1364/OL.42.001133

M3 - Article

VL - 42

SP - 1133

EP - 1136

JO - Optics Letters

T2 - Optics Letters

JF - Optics Letters

SN - 1539-4794

IS - 6

ER -