Deep Hyperspectral microscopy based on structured light sheet
Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)(2022)
摘要
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.
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