Abstract
We describe a computational hyperspectral microscope based on a structured light sheet that is generated using a digital micromirror device only. To reduce the acquisition time, we consider a small number of structured patterns. We solve the resulting inverse problem using an unrolled deep neural network, which limits the loss of spatial resolution.
© 2022 The Author(s)
PDF Article | Presentation VideoMore Like This
S Crombez, P Leclerc, C Ray, and N Ducros
CM1A.4 Computational Optical Sensing and Imaging (COSI) 2021
Adam K. Glaser and Jonathan T.C. Liu
MM4A.3 Microscopy Histopathology and Analytics (Microscopy) 2022
J. Zhao, N. Kulkarni, E. Dobo, M. J. Khan, E. Yang, and D. Kang
JM3A.44 Clinical and Translational Biophotonics (Translational) 2022