Hyperspectral compressive microscopy based on structured light sheet and deep convolutional neural network - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Hyperspectral compressive microscopy based on structured light sheet and deep convolutional neural network

Résumé

We describe a compressive hyperspectral microscope based on a structured light sheet and a deep convolutional neural network. The setup extends the concept of the computational hyperspectral microscope introduced in Ref. 1. First, we significantly improve the quality of the structured light sheet using a digital micro-mirror device to generate the light patterns directly. Second, to reduce the acquisition time, only fewer light patterns are acquired. The resulting inverse problem is solved using a deep neural network that includes traditional Tikhonov regularization.
Fichier non déposé

Dates et versions

hal-03709066 , version 1 (29-06-2022)

Identifiants

Citer

Sébastien Crombez, Chloé Exbrayat-Heritier, Florence Ruggiero, Cédric Ray, Nicolas Ducros. Hyperspectral compressive microscopy based on structured light sheet and deep convolutional neural network. SPIE Photonics Europe 2022, Apr 2022, Strasbourg, France. ⟨10.1117/12.2616521⟩. ⟨hal-03709066⟩
38 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More