Exeter Centre for Cytomics

GW4 Cytometry Data Science Course

Unlock the Power of Cytometry Data with R

27–30 July 2026 | University of Exeter

Registration now open!

Images of our Cytometry Data Science course.

Join us in Exeter for the GW4 Cytometry Data Science Workshop, a practical training course designed to help researchers analyse high-dimensional cytometry datasets in R and connect these workflows with imaging and spatial analysis.

Building on last year’s programme, the 2026 workshop has been expanded into a four-day modular format. It includes a dedicated introductory day for introducing R, more time for high-dimensional data analysis and machine learning, and a new imaging and spatial biology component.

Supported by the GW4 Cytometry Network, the workshop brings together researchers and technology experts for hands-on training, discussion, and collaborative learning in data-driven bioscience.


What you will learn

  • Reproducible and scalable flow cytometry analysis in R
  • Core programming concepts for those who are new to R
  • High-dimensional analysis, visualisation, and statistical workflows
  • Introductory machine learning approaches for cytometry data
  • Image and spatial analysis workflows using QuPath and R

Workshop modules

Date

Module and focus

27 July

Introduction to R
Core programming concepts

28 to 29 July

Flow Cytometry Data Science
High-dimensional analysis, advanced visualisation, statistical approaches, and machine learning

30 July

Imaging and Spatial Analysis
Spatial biology workflows using QuPath and R


Who Should Attend

This workshop is designed for:

  • Researchers working with high-dimensional cytometry data or imaging data in the life sciences
  • Core facility and technology platform scientists
  • Postdoctoral researchers and early-career researchers
  • Master’s and PhD students

What Is Included

  • Expert-led practical training in R
  • Real-world workflows using high-parameter cytometry and imaging datasets
  • Informal networking opportunities
  • Refreshments and lunch provided

Experience Level

No advanced programming experience is required. The workshop is designed to be accessible, although some prior familiarity with R or RStudio will help participants get the most out of the practical sessions. Participants may bring their own laptop (provided Docker is installed) or use a workstation provided on site.


Instructors

Dr Sebastiano Montante, Exeter Centre for Cytomics (Course Lead)

Dr. Attila Bebes, Exeter Centre for Cytomics

Dr. George Vere, Exeter Centre for Cytomics

Dr. Iolanda Domingues, Exeter Centre for Cytomics

Dr. James Crichton, RILD Imaging Scientist, Bioimaging Centre


Venue and fees

Date: 27–30th July 2026
Location:
Babbage Lab, Innovation Centre 1, University of Exeter

The course is modular, and participants can choose which sessions to attend.

Full Course Bundle

£400*

Module Options

 

Flow Cytometry + Imaging (Day 2-4)

£350*

Intro R + Flow Cytometry (Days 1-3)

£350*

Imaging Only (Day 4)

£150*

* Academic subsidised rates. Please contact us for further information.


Registration

Registration is now open! Sign up here.

Online Store

For enquiries, contact: cytometry@exeter.ac.uk

We look forward to welcoming you to Exeter this Summer!