1. Multispectral Total-variation Reconstruction Applied to Lens-free Microscopy
- Author
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Cédric Allier, Fabrice Navarro, Pierre Blandin, Olivier Cioni, Lionel Hervé, Mathilde Menneteau, Thomas Bordy, Sophie Morales, Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
- Subjects
0301 basic medicine ,Materials science ,Multispectral image ,Video microscopy ,01 natural sciences ,Article ,law.invention ,010309 optics ,[SPI]Engineering Sciences [physics] ,03 medical and health sciences ,Optics ,law ,0103 physical sciences ,Microscopy ,Variation (astronomy) ,Image resolution ,030304 developmental biology ,0303 health sciences ,business.industry ,Inverse problem ,Atomic and Molecular Physics, and Optics ,Ptychography ,Lens (optics) ,Light intensity ,030104 developmental biology ,Computer Science::Computer Vision and Pattern Recognition ,business ,Partial coherence ,Biotechnology - Abstract
International audience; Lens-free microscopy multispectral acquisitions are processed with an inverse problem approach: a multispectral total variation criterion is defined and minimized with the conjugate gradients method. Reconstruction results show that the method is efficient to recover the phase image of densely packed cells.
- Published
- 2018
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