Supports the detection and quantification of metastases of breast cancer, melanoma, and colorectal cancer in lymph nodes from whole slide images

Built using the foundation model we co-developed with Mayo Clinic, Atlas H&E-TME enables deep, accurate, and scalable spatial analyses of the TME in H&E-stained whole-slide images at single-cell resolution, empowering researchers with crucial insights for oncology drug development. Atlas H&E-TME provides qualitative polygon outputs that can be integrated into your preferred IMS, as well as thousands of higher order quantitative outputs per image.

Provides access to a high-performance foundational histology model, H-Optimus-1, that generates rich embeddings from diverse whole-slide images — powering scalable AI pipelines and downstream analytics within Concentriq LS on Embeddings.

Pan-tumor application that automatically detects regions of tumor and calculates various tumor content endpoints, ideal for macrodissection workflow.

Pan-tumor application that automatically detects regions of tumor and calculates various PD-L1 scoring endpoints, such as Tumor Proportion Score (TPS) and Combined Positive Score (CPS).

Pictor Labs’ AI models transform tissue autofluorescence into rich, virtual stains (including H&E, IHC, and others). Trained on expertly curated, co-registered image pairs, these non-destructive, reagent-free models provide consistent, high-quality visualization to support diverse research and digital pathology workflows.

Cleo Skin transforms digitized skin biopsy whole-slide images into actionable insights — identifying tumor types, measuring lesion size and margins, counting mitoses, and flagging high-priority cases. Running within Concentriq AP/AP-Dx, it integrates seamlessly into routine digital pathology workflows to support faster, more consistent diagnostic decisions by accredited pathologists. Cleo Skin is intended to be used as an aid to diagnosis and its results must be reviewed by accredited doctors.

Automated Quality Control (QC), is Proscia's AI-enabled module for performing QC on images. Embedded seamlessly within Concentriq®, it detects and segments images with artifacts to help you both optimize the quality control process and improve the quality of data driving your research.

AI-based precision diagnostic analyzes cancer tissue to enable the identification of patients with increased risk of disease progression.

Easily segment your fluorescence images with a click. This Quickstart APP detects the nucleus with the DAPI channel and outlines the cell body, speeding up your analysis. Output variables include the total cell count and multiplexed intensity measurements for the nucleus, cell body, and entire cell.

Automatically calculate a Score, corresponding to ASCO/CAP guidelines on HER2 IHC scoring, and determine the connectivity of HER-2 stained membrane in brightfield WSIs of breast tissue sections.

The MSIntuit Suite features AI-powered solutions for Microsatellite Instability (MSI) screening directly from GC H&E slides