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Found 5 papers, 2 papers with code
Ring Deconvolution Microscopy: An Exact Solution for Spatially-Varying Aberration Correction
The most ubiquitous form of computational aberration correction for microscopy is deconvolution.
Miniscope3D: optimized single-shot miniature 3D fluorescence microscopy
Miniature fluorescence microscopes are a standard tool in systems biology.
Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array
Hyperspectral imaging is useful for applications ranging from medical diagnostics to agricultural crop monitoring; however, traditional scanning hyperspectral imagers are prohibitively slow and expensive for widespread adoption.
Unrolled, model-based networks for lensless imaging
Various reconstruction methods are explored, on a scale from classic iterative approaches (based on the physical imaging model) to deep learned methods with many learned parameters.
Learned reconstructions for practical mask-based lensless imaging
In this work, we address these limitations using a bounded-compute, trainable neural network to reconstruct the image.
