AI-powered IHC quantification

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inside every cell.

A next-generation computational pathology platform that transforms routine immunohistochemistry images into interpretable multiplex channels, cell-level segmentation, and quantitative biomarker scoring.

Explore the platform View visual results

1,450Total nuclei detected

15.0%Positive-cell index

The platform

From a single IHC image to a complete cellular intelligence map.

The multitask pipeline performs virtual stain separation, inferred fluorescence generation, nuclear segmentation, positive/negative cell classification, and quantitative scoring in a unified workflow.

150+Supported image formats

95%+Nuclear-envelope coverage target

1 stepUnified inference workflow

Cell-levelQuantification granularity

Virtual multiplex staining and segmentation overview

Explainable virtual multiplexing

IHC input is translated into hematoxylin, DAPI, nuclear-envelope, protein-marker and classified segmentation views.

Red = positive · Blue = negative

Intelligent workflow

One image. Five synchronized outputs.

Input

Load routine brightfield IHC imagery from a microscope, camera or slide scanner.

Separate

Infer cleaner hematoxylin and biomarker representations without manual deconvolution.

Restain

Generate virtual multiplex immunofluorescence channels for interpretable analysis.

Segment

Delineate touching and overlapping nuclei and classify positive versus negative cells.

Quantify

Calculate total nuclei, positive-cell count and biomarker positivity percentage.

Visual evidence

Rich media built for scientific presentations.

Large-format result imagery and animated workflows make the underlying pipeline easy to explain to clinical, scientific and business audiences.

Interactive analysis workspace

Upload, process, inspect and refine segmentation and scoring results through an accessible visual interface.

Microscope video stitching

Convert a captured microscope sweep into a navigable digital tissue view for low-resource digitization workflows.

Scientific software integration

Bring AI inference into established pathology and image-analysis workflows.

Region-of-interest analysis

Select focused tissue regions and run targeted cell segmentation and biomarker quantification.

Advanced capabilities

Designed for robust biomarker analysis.

The system can support noisy tissue images and multiple nuclear or cytoplasmic markers, while preserving interpretable intermediate channels for review.

Multi-marker generalizationSuitable for Ki67 and extensible to markers such as CD3, CD8, BCL2, BCL6, MYC, MUM1, CD10 and TP53.

Interactive post-processingProbability thresholds, marker thresholds and lower/upper cell-size gating can be adjusted for refined outputs.

Synthetic data generationGenerate additional realistic IHC examples to improve learning in difficult clustered positive-cell regions.

Large-tissue supportTile-based processing and stitching workflows extend analysis beyond small image patches.

Controlled synthetic IHC generation

Segmentation-guided synthesis introduces challenging positive-cell clusters for stronger training coverage.

Presentation edition

Computational pathology,
made visually compelling.

A premium, presentation-ready experience for demonstrating AI-assisted stain translation, cell segmentation and biomarker scoring.

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