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Reconstruction de spectres-images STEM-EELS partiellement échantillonnés

Monier, Etienne and Oberlin, Thomas and Brun, Nathalie and Tencé, Marcel and De Frutos, Marta and Dobigeon, Nicolas Reconstruction de spectres-images STEM-EELS partiellement échantillonnés. (2019) In: 16e Colloque de la Société Française des Microscopies (SFU 2019), 2 July 2019 - 5 July 2019 (Poitiers, France).

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Abstract

Over the last decade, the application of compressed detection algorithms for tomography has been developed [1,2]. Because of data sparsity, the alignment of tilt series is a major problem. Standard alignment algorithms based on fiducials or automatic feature recognition cannot be used on sparse data. Therefore, as long as the problem of sparse data alignment is not solved, the use of compressed sensing for tomography reconstruction will be limited.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02397455
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Université Paris-Saclay (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université Paris-Sud 11 (FRANCE)
Laboratory name:
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Deposited On:25 Nov 2019 15:46

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