ImageDataExtractor

ImageDataExtractor automatically extracts microscopy images from scientific documents and performs quantitative particle size and shape analysis.

Key Features:

• Automated Image Extraction: Identifies and retrieves microscopy images from publications using optical character recognition (OCR) and super-resolution convolutional neural networks.
• Scale Bar Decoding: Deciphers scale bar information via OCR to enable accurate physical measurement calibration.
• Particle Detection and Quantification: Applies thresholding, segmentation, polygon fitting, and edge correction algorithms to detect particles and compute size and shape descriptors.
• High-Throughput Processing: Processes large image collections with precision and recall exceeding 80% for most extraction and analysis steps.

Scientific Applications:

• Data-Driven Materials Characterization: Generates quantitative particle morphology datasets from microscopy images to support structure–property analysis and materials discovery.

Methodology:

ImageDataExtractor integrates OCR and super-resolution convolutional neural networks for image and scale bar extraction, followed by calibrated image processing workflows including thresholding, segmentation, polygon fitting, and edge correction to quantify particle morphology.