Organised by the ISO 9001:2015 Certified Exeter Centre for Cytomics (EXCC), University of Exeter
This comprehensive 3-day online course offers an in-depth introduction to flow cytometry, with a strong focus on practical data analysis and advanced applications. Participants will engage with live expert-led lectures, interactive software tutorials, and remote demonstrations of EXCC’s state-of-the-art platforms. The course features exclusive access to workflows using spectral cytometry, imaging cytometry, cell sorting, tissue cytometry and multiplex analysis.
What You’ll Learn:
Principles of Flow Cytometry: Gain a solid theoretical foundation in fluidics, optics, fluorescence, and data acquisition. Understand how flow cytometry works and how it applies across biological disciplines.
Spectral Flow Cytometry: Explore the advantages of spectral systems through real-world demonstrations and case studies. Learn about unmixing, autofluorescence correction, and panel design using instruments such as Cytek Aurora, Bigfoot, and FACSymphony S6.
Cell Sorting: Understand setup procedures, sort logic, and biosafety considerations for advanced sorters including FACSAria Fusion, Bigfoot Spectral Sorter, and FACSymphony S6.
Tissue Cytometry: Learn how to apply MACSima Tissue Cytometry for multiplexed spatial proteomics and transcriptomics using imaging-based workflows.
Basic Flow Data Analysis: Gain confidence in FCS data structure, quality control, gating strategies, statistics, and batch processing using FlowJo and FCS Express.
Advanced High-Dimensional Data Analysis: Explore dimensionality reduction and clustering tools such as t-SNE, UMAP, FlowSOM, and Phenograph, supported by real-world immunophenotyping case studies.
Build competency in open-source tools including cytometry analysis in R and Python
Why Participate
This course is ideal for researchers, technicians, and students aiming to deepen their understanding of both conventional and high-parameter flow cytometry. Whether you’re new to cytometry or looking to expand your capabilities into spectral platforms, single-cell analysis, or machine learning-supported workflows, this course will provide the practical and analytical tools to advance your work.
Course Dates
This course will be offered twice to accommodate global participants across different time zones. When registering, you will have the option to choose your preferred session.
• First session: 2–4 December 2025, starting at 1:00 PM UK time (6 hours per day)
• Second session: 9–11 December 2025, starting at 7:00 AM UK time (6 hours per day)
Course Overview
You can view the full course details by clicking on the ‘Course Overview’ button in the right-hand sidebar of this page. This includes comprehensive information about the workshop, including session details.
If you have any questions or need further information, please don’t hesitate to contact our team at FAILSAFE@exeter.ac.uk.
Eligibility
To participate, you must be a member of the CMM-FAILSAFE Medical Mycology Network. If you are not yet a member, joining is quick and easy—simply complete this short membership form: Become a Member.
How to apply
If you would like to take part in this fantastic training opportunity, please click on “Apply Here!” in the sidebar.
Registration must be completed before the 1st August 2025.
Notification of places will be issued by 31st August 2025.
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