Computational pathology
Reading tissue as a complex system. Exploring how computational methods can make its structure more measurable.
TISSUE → INSIGHTLOADING
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ARTIFICIAL INTELLIGENCE. SCIENTIFIC INQUIRY.
Exploring the intersection of artificial intelligence, computational pathology, and histological imaging.
01RESEARCH
A tissue slide holds a world of relationships. We are interested in the methods that help make those relationships visible, measurable, and open to scientific scrutiny.
Our research interestsReading tissue as a complex system. Exploring how computational methods can make its structure more measurable.
TISSUE → INSIGHTStudying deep learning and foundation models that connect cellular detail with the wider architecture of a whole-slide image.
PATTERN → REPRESENTATIONTurning digitised histology and whole-slide images into measurable features, from individual structures to patterns across an entire specimen.
IMAGE → MEASUREMENTDelineating tissue regions, identifying cell populations, and classifying visual patterns with attention to uncertainty.
STRUCTURE → CONTEXTMeasuring the relationships between tumour, immune, and stromal compartments to study the tissue microenvironment.
POSITION → RELATIONSHIPMaking model outputs easier to inspect, trace to the source image, and question alongside the underlying evidence.
OUTPUT → UNDERSTANDING02TECHNOLOGY
HOW WE HELP LABORATORIES
Plan slide scanning, image management, and integration with existing laboratory systems.
Build confidence in digital review, algorithm outputs, and the limits of each tool.
Tailor methods to the laboratory's specimens, staining, workflows, and diagnostic questions.
Evaluate representative local cases against defined criteria before implementation.
Keep pathologists in control, monitor performance, and review unexpected results.
Slide scanning, image quality and integration with your laboratory systems.
Train the team and evaluate tailored algorithms against representative local cases.
Introduce curated companions with clear review, ongoing monitoring and human oversight.
03APPLICATIONS
Mapping tissue layers, identifying cellular structures, and measuring their organisation across a digitised specimen.
TISSUE ARCHITECTURE / MORPHOLOGYWorking with whole-slide histology images to assess image quality, align serial tissue sections, and examine selected regions at higher magnification.
WHOLE-SLIDE IMAGING / QUALITY / REGISTRATIONDeveloping reproducible approaches to turn complex visual datasets into structured, inspectable observations.
METHODS / MEASUREMENT / REPRODUCIBILITYBringing case queues, region annotations, and algorithm outputs into one review workspace, where pathologists can inspect, accept, or revise each result.
CASE REVIEW / ANNOTATION / HUMAN OVERSIGHT04ABOUT HAKUGEI
Hakugei means “white whale” in Japanese.
For us, it is a way of looking.
The name draws on the white whale of Moby-Dick and the open-ended nature of inquiry. Complex systems rarely reveal themselves at first glance. Understanding asks for patience, precision, and a willingness to look again.
We bring that spirit to artificial intelligence and scientific software: exploring beneath the visible surface, attending to context, and searching for patterns that carry meaning.
Look beyond the obvious.
Make every detail count.
Stay open to the unexpected.
05CONTACT
Exploring a research question, a technical challenge, or a possible collaboration? We would be interested to hear what you have in mind.
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