scientific-image-analysis

What problem does it solve?

Quantitative analysis of optical images is often manual, time-consuming, and prone to inconsistency. This skill automates the core workflow for microscopy image analysis, enabling reliable segmentation, morphometric measurements, and texture analysis across large image sets.

Core Features & Use Cases

• Automated segmentation: Otsu thresholding, Watershed, and Felzenszwalb segmentation to separate objects in microscopy images.
• Morphometric analysis: Compute area, perimeter, equivalent diameter, circularity, aspect ratio, solidity, and eccentricity.
• Texture and channel analysis: Extract GLCM and LBP texture features, perform intensity profiling, and merge multi-channel fluorescence images for combined visualization.
• Use Case: Researchers can quantify particle size distributions and morphology across multiple images or experiments, enabling high-throughput analysis.

Quick Start

Apply the image-analysis workflow to your microscopy data to segment, measure, and summarize particle morphometrics.