opencv-bioimage-analysis

What problem does it solve?

This Skill streamlines the analysis of biological images by providing efficient tools for preprocessing, segmentation, and feature extraction, enabling faster and more accurate scientific discovery.

Core Features & Use Cases

• Image Preprocessing: Enhance image quality with filters and contrast adjustment (e.g., CLAHE, Gaussian blur).
• Segmentation: Detect and outline cells or structures using thresholding and contour detection.
• Video Analysis: Process live-cell microscopy streams for real-time tracking and event detection.
• Use Case: Automatically identify and count cell nuclei in fluorescence microscopy images for high-throughput screening.

Quick Start

Use the opencv-bioimage-analysis skill to detect nuclei in the provided image file 'dapi.tif' and return a DataFrame of their properties.