SlideQC BF for HALO AP® is an automated, AI-powered application for H&E-stained digitized slides that detects the most common artifacts including air bubbles, dust/debris, folds, out-of-focus areas, and pen marks generated during the process of slide preparation and whole slide imaging. It is seamlessly integrated into the HALO AP diagnostic digital pathology platform. 

Intended Use

SlideQC BF is a quality control tool for whole slide images and is not regulated as a medical device under Regulation EU 2017/746 (IVDR) or MDR 2002 (UK).

Inputs

H&E-stained whole slide images

Key Outputs

A visual mask identifying areas of artifact and a calculation of area and percentage of slide affected by artifact. 

An Automated Deep Learning Artifact Detection Tool for Quality Control of Whole-Slide Digital Pathology Images​

Explore SlideQC BF: an AI-based tool which identifies pre-analytic processing errors in whole-slide images for quality control in digital pathology laboratories.

Supported File Formats

SlideQC BF is compatible with most WSI formats.

SlideQC BF Brochure

Learn more about the automated quality control and benefits of SlideQC BF.

SlideQC BF eBook

Learn more about how SlideQC BF was created and evaluated.

Improve the Efficiency of Your Workflow

Providing pathologists with high-quality digital slides expedites report generation and enhances patient care. With HALO AP, slides can be scanned by SlideQC BF and additional image analysis algorithms, all before the pathologist gets the case.

Increase Staff Availability

SlideQC BF automates slide checking, freeing technicians for other laboratory tasks. It quantifies slide artifacts, allowing you to set the manual review threshold and oversee the quality control process in your laboratory.

Future Proof Your Lab

As laboratories adopt increasingly specialized assays, digital pathology and AI analysis gain further traction. Integrated with HALO AP, SlideQC BF can triage slides before they’re analyzed by other AI algorithms, helping to ensure data integrity. 

AI-Powered Quality Control

Artifacts may be introduced at any stage of whole slide image (WSI) generation. Artifacts negatively impact the digital pathology workflow as they may hinder clinical reporting and result in false positive or negative results when deploying image analysis algorithms or computer-aided diagnosis systems. 

Manual quality control of WSI is a time-consuming process, therefore automated quality control tools are highly desirable to streamline digital pathology workflows. 

To automate the quality control step, we’ve developed SlideQC BF, an AI-based quality control tool that automatically detects and reports artifacts, such as air bubbles, dust/debris, folds, out-of-focus areas, and pen marks, on H&E-stained WSIs, in both research and clinical workflows.

Seamless Deployment in HALO AP®

SlideQC BF​ is deployed and fully integrated into HALO AP®, the AI-powered, pathologist-driven platform for anatomic pathology workflows from Indica Labs.

Want to Learn More?

Fill out the form below to request a live demo of SlideQC BF or to learn more about our other clinical solutions.
You can also drop us an email at info@indicalab.com

Accessing SlideQC BF in our CE-marked case management and viewing platform, HALO AP®, provides end-to-end integration to scanners and LIS | LIMS while providing built in compliance and certifications: CE-IVD, FDA 21 CFR Part 11, ISO 13485:2016, HIPAA, and GDPR.

SlideQC BF is a quality control tool for whole slide images and is not regulated as a medical device under Regulation EU 2017/746 (IVDR) or MDR 2002 (UK).

HALO AP® is CE-marked for in-vitro diagnostic use in Europe and the UK. HALO AP is For Research Use Only in the US and is not FDA cleared for clinical diagnostic use.