ctom2/lucyd-deconvolution
[MICCAI 2023] This is the official code for the paper "A Feature-Driven Richardson-Lucy Deconvolution Network"
This project helps life scientists improve the clarity of their microscopic images. It takes blurry and noisy volumetric microscopy images as input and produces sharper, clearer images, making it easier to analyze and interpret cellular structures and biological processes. Researchers and lab technicians who work with microscopy in fields like cell biology or neuroscience would find this useful.
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Use this if you need to restore the quality of 3D microscopic images that suffer from blur and noise, and you want clearer data for your scientific analysis.
Not ideal if you are working with non-microscopy images or do not require volumetric image restoration.
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Python
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Last pushed
Oct 06, 2023
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