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    • Flow Cytometry Training Course – 2 Online and Interactive Courses

    Considering the online nature of the course, the practical aspect was great and gives everyone a foundation to use multicolor flow cytometry and other techniques with good understanding and percision

    Organised by the ISO 9001:2015 Certified Exeter Centre for Cytomics (EXCC), University of Exeter

    In December 2025, FAILSAFE ran 2 fully funded courses in Flow Cytometry rated good to exceptional by 100% of attendees. Both courses provided a comprehensive 3-day online course provided an in-depth introduction to flow cytometry, with a strong focus on practical data analysis and advanced applications. Participants engaged with live expert-led lectures, interactive software tutorials, and remote demonstrations of EXCC’s state-of-the-art platforms. The course featured exclusive access to workflows using spectral cytometry, imaging cytometry, cell sorting, tissue cytometry and multiplex analysis.

    What the delegates learnt:

    Principles of Flow Cytometry: Gained 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: Explored the advantages of spectral systems through real-world demonstrations and case studies. Learned 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: Learned how to apply MACSima Tissue Cytometry for multiplexed spatial proteomics and transcriptomics using imaging-based workflows.

    Basic Flow Data Analysis: Gained confidence in FCS data structure, quality control, gating strategies, statistics, and batch processing using FlowJo and FCS Express.

    Advanced High-Dimensional Data Analysis: Explored dimensionality reduction and clustering tools such as t-SNE, UMAP, FlowSOM, and Phenograph, supported by real-world immunophenotyping case studies.

    Built competency in open-source tools including cytometry analysis in R and Python

    Who was this course for?

    This course was ideal for researchers, technicians, and students aiming to deepen their understanding of both conventional and high-parameter flow cytometry. Whether they were new to cytometry or looking to expand thier capabilities into spectral platforms, single-cell analysis, or machine learning-supported workflows, this course provided the practical and analytical tools to advance your work.

    Course Dates

    This course was be offered twice to accommodate global participants across different time zones and ran on the following dates:

    • 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)

    To explore all of our upcoming FAILSAFE courses and learn how to participate, click here.

    Don’t miss your chance to join these transformative training opportunities—membership in the CMM-FAILSAFE Network is required. If you’re not already a member, joining is completely free and simple. Just click here and complete the short registration form to get started today.

    The high level of technical expertise of the team, as well as their organization and dedication to the course.

    The high level of technical expertise of the team, as well as their organization and dedication to the course was outstanding!

    I really enjoyed being able to learn something entirely new. Such courses are usually done as hands-on sessions and are not accessible for most students. Loved this initiative!!

    The most valuable aspect of the course was the real-world, evidence-based application of various flow cytometry platforms and data analysis using FlowJo software.

    I would like to congratulate the entire team involved in the course — you were truly incredible! I also want to thank you for the opportunity to share such rich and high-level content, offered free of charge and online. I would like to highlight the impressive reach you achieved, with participants from several countries. For those of us in Brazil, this was especially meaningful, as the cost of travel and of the course itself is currently almost impossible for most research and educational institutions. Congratulations, sincerely, for taking on the challenge of organizing and managing such a comprehensive course!