cellpose-cell-segmentation

What problem does it solve?

This Skill automates the segmentation of cells and nuclei in microscopy images, overcoming the limitations of traditional methods when dealing with varying image conditions or touching cells.

Core Features & Use Cases

• Deep Learning Segmentation: Utilizes pre-trained models for robust cell and nucleus identification.
• Generalization: Works across diverse cell types, magnifications, and staining conditions without retraining.
• Output: Generates label masks compatible with downstream analysis tools like scikit-image for morphology measurements and TrackPy for tracking.
• Use Case: Automatically segment thousands of cells in fluorescence microscopy images for high-throughput analysis of cell populations.

Quick Start

Use the cellpose-cell-segmentation skill to segment cells in the provided image file 'cells.tif'.