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Quantitative digital pathology, run by people with their own pipeline to defend
We quantify what is actually in your tissue sections — cell by cell, marker by marker, region by region — and hand back data you can put in front of a reviewer. Services are grouped by research phase, because that is what sets the evidence standard your numbers have to meet.
Three phases, three evidence standards
The analysis techniques overlap. What changes is how tightly the process is controlled and how much of it has to be reconstructable years later.
Phase 01
Discovery & pre-clinical
Speed and breadth. Screen large image sets, validate targets, and profile compound efficacy directly in diseased tissue before committing to a lead.
Read more →Phase 02
Clinical
Consistency above all. Verified, locked algorithms applied identically across every batch of trial samples, with clinical pathologist input on annotation.
Read more →Phase 03
GCP-compliant studies
Regulatory standard. Analysis performed to written SOPs within a documented quality management framework, in a validated and access-controlled environment.
Read more →Model development and resourcing
Capability
AI image analysis
Deep-learning segmentation and classification for tissue that defeats threshold-based approaches: dense nuclei, heterogeneous morphology, high background, multiplex panels. Models are trained on your material, checked against pathologist ground truth, then versioned.
Read more →Capability
Flexible resourcing
Fee-for-service when the work is bounded and you want a fixed price. Full-time-equivalent scientists, embedded with your team and working to your priorities, when demand is continuous and hiring is the bottleneck.
Read more →Where we have depth
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Gynaecological oncology
High-grade serous ovarian, endometrial and cervical tissue. Folate receptor alpha expression scoring, Ki67 proliferation index, tumour–stroma segmentation, peritoneal implant morphometry, and carrier biodistribution readouts in orthotopic models.
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Immuno-oncology
Quantification of lymphocyte and inflammatory populations within tumour tissue, co-localisation of activation markers, immune infiltration at defined distances inside and outside the tumour border, and spatial relationships between interacting cell types across the microenvironment.
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Fibrosis & steatohepatitis
Collagen proportionate area, fibrosis staging support, steatosis quantification, ballooning and inflammatory foci counting across liver, lung, kidney and cardiac tissue.
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Dermatology
Epidermal thickness, drug target expression through the skin layers, inflammatory cell infiltrate, and cell-by-cell drug response effects in histology and IHC material.
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Central nervous system
Quantification of brain structures and cell types, neurotransmitter distribution, infarct region measurement, plaque and deposit burden, and glial activation.
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Cardiovascular
Plaque composition and burden in atherosclerosis models, vessel wall morphometry after injury, fibrotic and infarct area in cardiac tissue.
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Metabolic disease
Islet identification as a region of interest in pancreatic sections, with quantification of insulin-secreting beta cells and glucagon-secreting alpha cells, cell numbers and expression levels.
What we take in, what you get back
Input
Staining
Single and dual chromogenic IHC, H&E, special stains, single-plex and high-plex immunofluorescence, RNA in-situ hybridisation, and combined protein–RNA panels.
Input
Images
Whole-slide images from the major scanner vendors, tissue microarrays, and field-of-view captures. We handle transfer, integrity checking and storage on our side.
Output
Data
Per-cell object data, summary statistics by slide, region and cohort, annotated image exports, mark-up overlays for review, and a written methods report.
Operating standards
- GCP-compliant environment
- Documented QMS
- UK GDPR
- Audit trail on every run
- Data held in the UK/EU
Not sure which service you need?
Tell us the endpoint you are trying to measure and we will tell you which phase of service fits — and whether it is measurable at all in the material you have.