Deep learning-enhanced microscopy with extended depth-of-field
Y Zhang - Light: Science & Applications, 2023 - nature.com
A computational imaging platform utilizing a physics-incorporated, deep-learned design of
binary phase filter and a jointly optimized deconvolution neural network has been reported …
binary phase filter and a jointly optimized deconvolution neural network has been reported …
Generation of needle-shaped beam with super-resolution spot and large depth of focus using diffractive optics
Y Du, C Zhang, Q Tan - Optics Communications, 2024 - Elsevier
The finite depth of focus (DOF) of a focusing lens gives rise to the degradation of lateral
resolution at defocused positions. Consequently, the generation of a needle-shaped beam …
resolution at defocused positions. Consequently, the generation of a needle-shaped beam …
End-to-End Hybrid Refractive-Diffractive Lens Design with Differentiable Ray-Wave Model
Hybrid refractive-diffractive lenses combine the light efficiency of refractive lenses with the
information encoding power of diffractive optical elements (DOE), showing great potential as …
information encoding power of diffractive optical elements (DOE), showing great potential as …
Extended-depth of field random illumination microscopy, EDF-RIM, provides super-resolved projective imaging
The ultimate aim of fluorescence microscopy is to achieve high-resolution imaging of
increasingly larger biological samples. Extended depth of field presents a potential solution …
increasingly larger biological samples. Extended depth of field presents a potential solution …
Compact hyperspectral imaging of extreme-depth-of-field diffractive lenses based on spatial–spectral sparse deep learning
Thin and flat diffractive optical elements (DOEs) are significant in the field of integrated
optics and provide a novel and optimal solution for hyperspectral imaging (HI) which is …
optics and provide a novel and optimal solution for hyperspectral imaging (HI) which is …