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HistoSiA™ Breast Pay-Per-Use Solution

Scan, Analyze, and Auto-Segregate Breast Cancer IHC Cases in a Single Workflow

The Challenge

Breast cancer pathology relies on multiple immunohistochemistry biomarkers, each requiring accurate and consistent interpretation to support diagnosis and treatment decisions. As case volumes increase and biomarker menus expand, pathology teams face growing pressure to maintain standardization and efficiency, often across multiple readers, sites, and workflows. Fragmented digital tools and manual interpretation can introduce variability, limit scalability, and increase operational burden.

The HistoSiA™ Breast Solution

HistoSiA™ Breast Cancer Suite by OptraSCAN® is a digital pathology solution that supports algorithm-assisted quantitative interpretation of key breast cancer biomarkers on a unified workflow. Powered by the world’s first patented OS-SiA™ technology, HistoSiA™ Breast combines whole-slide imaging with real-time AI analysis, allowing laboratories to scan slides, automatically analyze biomarker expression, and segregate breast cancer IHC cases into diagnostic* categories in a single workflow before the pathologist even begins review. This innovative multi-biomarker expansion platform allows integration of HER2, ER, PR, Ki-67, and AE1/3 biomarker analyses within the same digital workflow.

The platform performs automated HER2 categorization into 0, 1+, 2+, and 3+ classes during slide scanning, enabling laboratories to triage cases, reduce manual scoring workload, and streamline pathologist review. This is an innovative multi-biomarker expansion platform that allows scalable integration of additional breast cancer biomarker analyses, such as ER, PR, Ki-67, and AE1/3, within the same digital workflow.

Slide to Report in Minutes

Slide
Scan
Index
Analyze
Slide
Scanner
Computer
Report

Scan:

Slides are prepared using standard laboratory protocols and processed on OptraSCAN systems (OS-SiX™, OS-Lite™,OS-Ultra™, and OS-FLi™) to generate high-resolution digital slide images for analysis.

Index:

Automatically generates indexed thumbnails, slide maps, metadata,and contextual information. Once the scan is complete, the slides are already categorized, cataloged, and made searchable. Each scanned region is instantly tagged, and the database is prepared for easy integration into the lab workflow.

Analyze:

During acquisition, HistoSiA AI generates IHC quantitative analysis across entire tissue sections. It triages slides as negative or positive and displays visual overlays and numerical outputs to support interpretation and help prioritize pathologist's review. Confirmed positive smears are graded using built-in scoring tools e.g., Allred, H-Score (ER, PR), ASCO-CAP (HER2), Proliferation index (Ki-67), TNM staging. All images and reports are managed digitally in IMAGEPath® software.

Analytical Outputs You Can See

HistoSiA™ Breast delivers interpretable analytical results designed for real-world pathology workflows

Quantitative analysis includes:

  • Algorithm overlays highlighting biomarker expression
  • Numerical scoring outputs to support consistent assessment
  • Whole-slide analysis across representative tissue regions

(Section intended to display representative outputs for HER2, ER, PR, and Ki-67)

ER

HER2

ER Large
ER

ER

Clear FOV
ER

PR

Visible Bacilli
Software Output Panel

Ki-67

Software Output Panel

Designed as a Platform

Scalable platform architecture

Supports quantitative pathology across multiple disease areas

Enables labs to expand capabilities over time

Eliminates need to reinvest in new systems or workflows

Supports Quantitative IHC Workflows

Enables quantitative and semi-quantitative IHC analysis in breast pathology

Aligns with existing CPT® coding for quantitative IHC

Includes CPT® 88361 – Per specimen, per antibody

Coding, coverage, and reimbursement vary by payer and institution

Who This Solution Is Designed For

  • Pathology labs exploring AI for breast cancer biomarker analysis
  • Labs with current or future digital pathology workflows
  • Teams needing standardized, reproducible biomarker quantification
  • Research and translational studies on breast cancer biomarkers
  • Institutions seeking scanner-independent AI analysis
Thank you for your interest in OptraSCAN Digital Pathology Solutions!

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