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From Sample to Report: Automated Spatial Biology Workflow with PhenoScout AI
Abstract:
Exploring an end-to-end spatial biology workflow integrating ZEISS Axioscan 7 spatial biology with SlideStream software for microscopy workflow automation, and Mindpeak GmbH’s AI based image analysis PhenoScout AI, a cutting-edge AI-driven digital pathology platform for advanced multiplex immunofluorescence (mIF) analysis.
Known for excellence in pathology staining, target identification, and advanced assays with image analysis, the team at Concept Life Sciences demonstrate how a new AI-driven workflow boosts analysis efficiency and accuracy. Discover how testing shows low variability and simplified, phenotype-ready data outputs with no prior image analysis expertise required, enabling scalable, robust spatial biology.
Christopher Mills - Senior Scientist, Concept Life Sciences
Chris holds a PhD in developmental biology, with a focus on its application in tissue engineering, during which he gained extensive experience in spatial biology.
He joined Concept Life Sciences, a UK-based contract research organization (CRO), in 2019 and now leads work across all aspects of Spatial Biology, specializing in advanced multiplex assays and the generation of high-value data to support drug discovery programs and clinical trials. Chris is involved throughout the study lifecycle — from initial client engagement and proposal development to study execution and data reporting. He is passionate about exploring new techniques and actively engages with leaders in the field to evaluate and implement emerging technologies.