BreastAnalyser

BreastAnalyser automatically measures DAB-brown-stained protein areas, counts cell nuclei, and classifies nuclei by DAB-brown-staining level in breast cancer immunohistochemical images.

Key Features:

• DAB-brown area quantification: Automatically measures the area of 3,3'-diaminobenzidine tetrahydrocholoride (DAB)-brown-stained proteins detected by immunohistochemistry.
• Nucleus counting and classification: Automatically counts cell nuclei and classifies them according to their DAB-brown-staining level.
• Segmentation algorithms: Uses sophisticated segmentation algorithms that consider intrinsic image variability and save image normalization time.
• Image annotation: Allows users to annotate images and unify experts' criteria.
• Supervised quantitation: Enables user supervision of automatic quantitations.

Scientific Applications:

• Breast cancer biomarker analysis: Supports quantitative evaluation of immunohistochemistry for oncological diagnosis, therapeutic decisions, and biomarker discovery.
• Connexin43 (Cx43) protein expression studies: Enables detection of Cx43 downregulation in invasive breast cancer samples and correlation with cancer recurrence risk in Oncotype DX-tested luminal B HER2- breast cancer tissues.
• Molecular subtype characterization: Facilitates quantitative assessment of immunohistochemical markers used to define breast cancer molecular subtypes.
• Cell density relativization: Allows proper cell density relativization of the brown signal for comparison purposes between different patients.

Methodology:

BreastAnalyser uses sophisticated segmentation algorithms that consider intrinsic image variability. The software was validated in representative human breast cancer immunohistochemistry images detecting various antigens.