Automated batch processing of cell and tissue microscopy image data in Napari
Official implementation of "Self-contrastive learning enables interference-resilient and generalizable fluorescence microscopy signal detection without interference modeling."
A Python package for compressing ExaSPIM image datasets via denoising and lossy compression.
Tool to analyze bacterial fluorescence in time-lapse microscopy
This project demonstrates using a U-Net model with PyTorch for image segmentation and denoising tasks. It effectively segments nuclei in microscopy images and removes noise from natural images.
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