DIGITAL PATHOLOGY × SPATIAL BIOLOGY

From tissue to
quantitative
evidence.

Digital pathology, spatial biology and custom AI — connected in one reproducible research workflow. Turn whole-slide images into biologically meaningful, publication-ready results.

Discuss your research
Digital pathology workstation displaying a histology slide for spatial analysis.
Illustrative · not study data
Diagnostic pathology Artificial intelligence Spatial biology Advanced biostatistics

01 / SCIENCE, CONNECTED

Complex research.
A connected approach.

We bring pathology, computer vision, deep learning, spatial biology, and biostatistics into a unified research platform.

Work with us as a full scientific partner or bring our expertise into a specific stage of your study. Every workflow is tailored to your scientific objectives — with reproducibility, rigor, and expert pathology validation at its core.

02 / OUR EXPERTISE

Built around your
research question.

Custom algorithms. Quantitative evidence.
Biologically meaningful interpretation.

Custom AI development

Vision Transformers, UNet, Segformer, DeeplabV3 and etc. for segmentation and biomarker discovery. Deliverables: .pt checkpoints, inference benchmarks and validation reports.

Computational morphometry

Measure nuclear pleomorphism, stroma-to-tumor ratio, digital H-scores. Export objective morphometry tables with expert pathology review.

Spatial cellular neighborhoods

Delaunay triangulation, nearest-neighbor distances and cellular density gradients. Deliverables: single-cell coordinates, interaction heatmaps and GeoJSON clusters.

Sequential IHC & registration

Affine and elastic serial-section alignment with ROI transfer across stains. Deliverables: aligned image stacks and synchronized multi-stain review.

Tumor microenvironment

Integrate CD3, CD8, CD20, CD68, FOXP3 and other markers. Characterize immune infiltration, invasive margins and tertiary lymphoid structures (TLS).

Reproducible software pipelines

QuPath, OpenSlide, Python and PyTorch workflows, containerized with Docker / Singularity for on-premise HPC or private cloud. Code, recipes and execution provenance included.

OUR PROJECTS / RESEARCH SOFTWARE

Built for your research.

We’ve developed tools to support researchers’ day-to-day work in tissue segmentation, slide alignment and marker comparison.

Digital pathology workstation showing a tissue segmentation preview with highlighted regions.

01 / SEGMENTATION · WINDOWS

DeepHistoImageAI

Annotate tissue, train a segmentation model on your own data and review prediction masks — without writing ML code. Original slides stay local; export results to QuPath via GeoJSON.

Whole-slide image alignment preview with a spatial cell analysis overlay.

02 / ALIGNMENT · DESKTOP

WSI Align and Analyse

Align adjacent tissue sections stained for different markers. Transfer annotations and cell contours, compare staining intensity and export GeoJSON to QuPath.

03 / THE RESEARCH WORKFLOW

One workflow.
Every stage of discovery.

A standardized computational foundation connects your data, methods, and results — from pilot studies to multicenter cohorts with thousands of slides.

  1. 01

    Conception & data intake

    Frame the protocol and power calculation plan. Ingest whole-slide images in SVS, NDPI, CZI and other formats.

  2. 02

    QC & normalization

    Detect blur, folds, bubbles and pen marks. Generate tissue masks; normalize stains with Macenko, Vahadane or Reinhard.

  3. 03

    Registration & ROI design

    Align serial sections, transfer multi-marker ROIs and annotate the tissue architecture relevant to your hypothesis.

  4. 04

    AI & cellular phenotyping

    Segment nuclei and cells, classify phenotypes, quantify spatial distances and identify microenvironment clusters.

  5. 05

    Translational modeling

    Compare patient groups and spatial biomarkers to see how they relate to survival.

  6. 06

    Review & publication

    Expert pathology review, Methods and Results drafts, SHA-256 provenance and publication-ready vector / 300+ DPI TIFF figures.

Quality control at every stage. Traceable from input to figure.

RESEARCH / PUBLICATIONS

Our publications.

Research in digital pathology, tissue analysis and spatial biology.

04 / WORK WITH US

Your study. Our shared commitment.

01

End-to-end research partner

A connected scientific partnership from the first research question to the final manuscript.

Study design · Image analysis · AI & spatial modeling · Biostatistics · Publication support

02

Targeted expertise

Specialist support that integrates into your existing study, team, or computational infrastructure.

Custom AI · Image registration · Spatial analysis · Software development · Expert validation

Ready for
your next publication

Single-cell CSV / Parquet tables, GeoJSON annotations, QuPath .qpdata, aligned masks, model checkpoints and 300+ DPI figures — with transparent Methods and reproducible code.

05 / REPRODUCIBILITY & DATA STEWARDSHIP

De-identified by design

Institutional anonymization and NDA-led data intake. Agree storage, access and retention with your research team.

A traceable research record

SHA-256 input hashes and versioned pipeline parameters connect each analysis to its source data.

Your infrastructure, your study

Containerized execution for on-premise HPC or private cloud. Define encryption and institutional controls during scoping.

06 / START A RESEARCH PROJECT

Your next finding
starts here.

Tell us about your tissue, hypothesis and timeline. We’ll review feasibility and suggest a computational approach.

Feasibility review within 24–48 business hours.
Academic labs · Translational teams · Pharma & CROs

Please do not include patient identifiers or upload clinical records. Data sharing and institutional safeguards are agreed during scoping.