peterhpark/neuroclear
Neuroclear is a deep-learning-based Python module to train a deep neural network for the task of applying super-resolution to degraded axial resolution in fluorescence microscopy, using a single image stack.
This project helps fluorescence microscopists enhance the clarity and detail of their 3D images, specifically improving the resolution along the depth (axial) dimension. By taking a single, lower-resolution image stack, it processes this data to output a super-resolution version. It's designed for researchers who need sharper microscopy images for analysis, particularly in biological or materials science fields.
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Use this if you are a researcher working with fluorescence microscopy and need to improve the axial (depth) resolution of your 3D image stacks from a single acquisition.
Not ideal if you are looking for a plug-and-play software without any technical setup, or if you need to enhance lateral (horizontal) resolution rather than axial resolution.
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Apache-2.0
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Last pushed
Mar 21, 2025
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