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Communication Dans Un Congrès Année : 2010

Lightsheet fluorescence microscopy images deblurring with background estimation

Résumé

The deblurring of microscopy images has received a lot of attention in past decades, especially with regularisation involving the Total Variation semi-norm. In this paper we propose the evaluation of 3D point spread function space-invariant restauration methods with background estimation for 3D light sheet fluorescence microscopy images. A 3D image model for synthetic static multicellular tumor spheroids is introduced, allowing a more realistic evaluation for the proposed methods, underlining better results with low SNR values. Encouraging results on real data of cancer cells cultured as multicellular tumor spheroids are also presented.
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Dates et versions

hal-03146737 , version 1 (19-02-2021)

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Citer

François de Vieilleville, Adrian Basarab, Denis Kouamé, Valérie Lobjois. Lightsheet fluorescence microscopy images deblurring with background estimation. IEEE Workshop on Signal Processing Systems (SiPS 2010) : “Bio-medical Signal Processing Systems”, Oct 2010, San Francisco, United States. pp.254--259, ⟨10.1109/SIPS.2010.5624797⟩. ⟨hal-03146737⟩
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