I-AbACUS

I-AbACUS automates image-based detection and quantification of cells on stained transwell assay membranes to standardize and improve reproducibility of invasion and migration assay measurements in cancer research.

Key Features:

• Automated cell recognition and counting: Uses image analysis algorithms to identify cells on stained transwell assay membranes and provides a suggested cell count.
• Advanced image analysis algorithms: Employs automated image-analysis methods to detect and quantify cells from assay images.
• Robustness to cell morphology variation: Handles images with varying cell morphologies across different experimental conditions.
• Reduction of operator dependency: Replaces manual counting to reduce variability introduced by operator skill and protocol differences.
• Validation against standards: Demonstrated accuracy and robustness by validation against standard transwell assay analysis techniques.

Scientific Applications:

• Transwell invasion and migration assay analysis: Quantifies cell invasion and migration from stained membrane images.
• Cancer research: Supports studies of molecular processes involved in cancer progression and evaluation of potential treatments.
• Assay standardization: Enables more reproducible comparisons across operators and experimental protocols.

Methodology:

Processes images of stained transwell assay membranes using advanced image analysis algorithms to automatically identify and count cells and outputs a suggested cell count; validation was performed against standard transwell assay analysis techniques and on images with varying cell morphologies.