From Pixels to Pathways
A Spatial Biology Bite-Sized Webinar Series
This five-part educational series will introduce you to practical, accessible approaches for analyzing high-plex spatial biology data using Imaging Mass Cytometry (IMC) and to learn how this technique can reveal new functional insights and be combined with other multi-omic techniques. Each 15-minute session is designed to be concise, focused, and actionable—helping you build confidence in analyzing, validating, and interpreting spatial data.
From segmentation to metabolic reprogramming, you’ll see how spatial biology provides unprecedented insight into cellular interactions and tissue architecture.
Who Should Attend
This series is ideal for:
• Researchers and analysts working with or considering spatial biology technologies
• Pathologists, clinicians, and biologists eager to learn hands-on analysis workflows for IMC data
• Anyone curious about how high-dimensional tissue imaging can transform their research
November 13
From data to confidence: Using QuPath for high-plex spatial biology analysis
Speaker: Filomena Spada
• Learn how to use QuPath, a freely available software, to analyze imaging mass cytometry data.
• Walk through the workflow of data analysis, validation, and result interpretation.
What you’ll learn to ask of your data:
• How can I validate my spatial analysis results?
• What does a full IMC analysis workflow look like
November 27
Unlock segmentation with QuPath: A live demo
Speaker: Ruth Allen
• See a live demonstration of segmentation workflows in QuPath.
• Acquire both single-cell and tissue-level segmentation for spatial biology analysis.
What you’ll learn to ask of your data:
• How can I confidently identify single cells?
• How do I extract tissue-level insights?
Tools showcased: QuPath segmentation tools
December 11
Imaging Mass Cytometry on transcriptome-imaged slides
Speaker: Mainthan Palendira, University of Sydney
• See how 10X Xenium can be used upstream of Imaging Mass Cytometry.
• Learn how transcriptomic data can be integrated with IMC for a multi-omic perspective.
What you’ll learn to ask of your data:
• How can transcriptomic imaging complement IMC?
• What new insights emerge from multi-omic spatial workflows?
January 7
Unraveling metabolic reprogramming with ready-to-use panels
Speaker: Filomena Spada
• Dive into how ready-to-use, pathologist-verified IMC panels accelerate spatial biology research by focusing on metabolic and signaling markers.
• Learn which metabolic and signaling markers are included (e.g. GLUT1, ATP5A, LDHA, EGFR, pMAPK, p-SMAD) and how they let you spatially probe energy metabolism and key pathways in situ.
What you’ll learn to ask of your data:
• How do signaling states correlate with metabolic rewiring at the single-cell level?
• How can modular panels be combined or expanded to suit custom biology questions?
January 21
What can you do in 8 minutes?
Speaker: Melissa Klug
• Experience how much data can be generated in minutes with the latest imaging mass cytometry capabilities.
• See a practical example of IMC’s speed and depth.
What you’ll learn to ask of your data:
• How much information can I gain in just one experiment?
• What does rapid high-plex imaging enable?
Tools showcased: Imaging Mass Cytometry platforms