Users to Experts: Strategies for Building Autonomy and Managing Imaging Data at Scale

Workshop | 8 October 2025 | 3:00 PM – 4:30 PM 

SpeakerJeffrey Kuhn
SpeakerJeffrey Kuhn

Scientific Director of the Microscopy Core @ MIT

Speaker Alain Pitiot
Speaker Alain Pitiot

Senior Project Manager @ TissueGnostics

Speaker F. Jacob Kassama
Speaker F. Jacob Kassama

PhD student at Jacks lab @ MIT

Overview

This presentation explores practical strategies for managing high-throughput slide scanning in multi-user research environments, emphasizing adaptive workflows, user training, and streamlined data handling. It highlights integrated approaches to imaging, analysis, and visualization that enhance scalability, efficiency, and user engagement across diverse research applications.

Date: Wednesday, Oct. 08, 2025

Time: 3:00 PM – 4:30 PM 

Location: Omni New Haven at Yale, 155 Temple Street, New Haven, Connecticut, 06510

Workshop Program

Slide Scanning in a Multi-User Environment: Lessons Learnt

Jeffrey Kuhn, Scientific Director of the Microscopy Core @ MIT

Dr. Jeffrey Kuhn begins with a discussion on operating a high-throughput imaging core with minimal staff, emphasizing adaptive training, parallelized access, and strategies that empower users to operate systems independently. Insights into scheduling, data flow, and slide scanning infrastructure will be shared. With over 200 users trained in just two years, Dr. Kuhn highlights how the TissueFAXS scanning system supports streamlined onboarding, robust performance, and flexible applications across diverse research projects.

Exposé: from Data to Insights

Alain Pitiot, Senior Project Manager @ TissueGnostics

Dr. Alain Pitiot introduces Exposé, TissueGnostics’ integrated platform for the acquisition, management, visualisation and analysis of biological data. The talk will focus on how Exposé streamlines end-to-end workflows, linking slide scanning, statistical characterization, and visualization within a cohesive, GPU-accelerated environment, and showcase the platform's flexibility and interoperability with OMERO. Use cases include CellPose integration and dynamic reporting with Exposé dynamic notebooks.

Cancer cell MHC-II expression promotes tumor progression in early lung adenocarcinoma

Francis Jacob Kassama, PhD student at Jacks lab @ MIT

Preliminary data from Jacks lab demonstrate that genetic ablation of cancer cell specific MHC-II expression led to reduced tumor burdens, revealing a novel role of cancer cell MHC-II in influencing CD4+ T cells to help support tumor development. StrataQuest, image analysis software, was employed to examine immune infiltration dynamics in the lung tumor models, enabling visualization and quantification of cellular infiltrates and providing spatial insights.

What you will learn

  • Learn from Real-World Experience:
    Hear how Dr. Jeffrey Kuhn (MIT) supports over 200 users with a scalable whole slide imaging workflow in a high-demand core setting.
  • Support Multi-User Environments with Confidence:
    Explore practical strategies for managing shared slide scanning systems that promote user independence and operational efficiency.
  • Simplify Complex Image Analysis:
    See how modern analytical platforms enable flexible, whole-slide workflows, easing the generation of reproducible, publication-ready results.
  • Streamline Imaging Pipelines:
    Discover how integrated acquisition and analysis tools can improve throughput while maintaining high data and image quality.
  • Take Home Actionable Insights:
    Gain practical ideas for purchasing, training, and workflow design—relevant to microscopy cores, pathology, immunology, and cancer research.
  • Engage with Experienced Users:
    Connect with peers and solution specialists to ask questions, share challenges, and explore collaborative approaches to imaging and analysis.

Registration is going on

Do not miss this opportunity - reserve your spot now!

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TissueGnostics provides advanced solutions for whole-slide imaging and image analysis in biological and clinical research. Our products help researchers to scan and analyze complex tissue samples, enabling more detailed insights into tissue structure, cellular interactions, and spatial cell landscape.

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