Showing 5 of 5 projects
Interactive segmentation and tracking tools for microscopy images built on Segment Anything.
Automated 3D cell detection and classification in large-scale volumetric brain images using deep learning.
A foundation model for cell segmentation that achieves state-of-the-art performance across diverse cellular targets and imaging modalities.
An automated pipeline for organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy.
A napari plugin for reading multiple microscopy and general image file formats directly into the viewer using pure Python.
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