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Edge

The AI-Powered Spatial Biology Platform for Next-Level Discovery

Katana Edge is the cloud-native AI platform built to transform spatial biology workflows in translational and clinical research. Designed for life sciences researchers and clinical scientists, Edge combines best-in-class whole-cell segmentation, feature extraction, end-to-end automation, and intuitive data exploration – no coding or IT setup required.

From ultra-hi-plex image upload to deep phenotyping, Katana Edge delivers fast, accurate, and scalable analysis across large-scale datasets. Powered by cutting-edge AI, including our proprietary algorithms StarFlow, MarkSense, and MorphoLeiden, Edge goes beyond traditional tools to deliver high-fidelity cell segmentation, marker positivity prediction, and spatially-aware clustering in a single platform.

Whether you’re in academic research, biotech, or pharma, Edge empowers your team to:

  • Visualize & quantify 100+ channel whole-slide images directly in your browser
  • Explore data with ease, using a secure, LLM-powered chat interface – no data science expertise required
  • Collaborate in real time, with built-in annotation, sharing, and dashboard tools.
  • Integrate seamlessly, working with data from all major instruments including Akoya, Miltenyi, Bruker, Lunaphore, and Ionpath (more instruments/systems will supported in the coming weeks).

With Katana Edge, spatial biology becomes faster, clearer, and more actionable – helping you drive breakthroughs in immuno-oncology, biomarker discovery, and beyond. Now available in beta: We’re offering early access to Katana Edge for interested users. If you’d like to explore the platform, please reach out to us at mail@katana-labs.com.

Edge rationale


Spatial biology provides crucial insights ​

into tissue organization, potentially advancing immuno-oncology, biomarker discovery, and drug development with hi-plex imaging.​

Yet, accurate analysis is hard​

due to need for image analysis and AI expertise, large data volumes and computational requirements, and a lack of software tools.​

Edge simplifies hi-plex tissue analysis​

with AI-powered image segmentation and quantification and a fast intuitive cloud platform for analysis and visualization in the browser​.

Edge platform

Fast and intuitive browser-based slide viewer​

visualize hi-plex whole slide images online​

Effortless cell segmentation and quantification​

extract nuclei, cell shapes, marker intensities and phenotypes​

Tools for collaboration​

share, annotate and engage with colleagues​

Biomarker analysis is the backbone of precision oncology

for most of the biomarker tests performed on histopathology slides.

Yet, analysis is time consuming and subjective​

due to manual analysis of a limited number of clinical scientists.

Edge assists CROs

with AI-driven histopathology biomarker analysis, enabling faster, more accurate precision oncology with seamless browser-based interface.​

Fast and intuitive browser-based slide viewer

visualize whole slide images in browser​

Accurate biomarker quantification​

detect, classify, and score according to guidelines​

Tools for reporting and collaboration​

integrate with lab information systems​

Edge pipeline

Advanced AI-powered image analysis pipeline​

AI-powered biomarker analysis​