islify

islify classifies images of cell-based assays for neuronal surface autoantibody detection by generating composite scores from imaging files to determine antibody-specificity status.

Key Features:

• Image Classification: Processes imaging files to classify samples as negative or positive for specific antibody specificities.
• Composite Scoring: Generates a composite score from input images to enable sample classification.
• Island-based Image Analysis: Applies filters to control water level and ground characteristics to identify islands of interest within images.

Scientific Applications:

• Neuronal Surface Autoantibody Detection: Classifies cell-based assay images to detect neuronal surface autoantibodies in clinical or research samples.

Methodology:

The software applies filters to images to control water level and ground characteristics, identifying islands of interest to generate composite scores for classification.