GW4 Cytometry Data Science Course

Unlock the Power of Cytometry Data with R

27–30 July 2026 | University of Exeter

Join us in Exeter for the GW4 Cytometry Data science course. A 4-day hands-on training course designed to equip researchers with the skills to analyse high-dimensional cytometry datasets using R.

Building on last year’s 2-day course, we have expanded our workshop, now with a dedicated introductory programming day, more time for machine learning, and an introduction to spatial biology.

Supported by the GW4 Cytometry Network, this workshop brings together researchers and cytometry experts to foster collaboration, training and data-driven research in the biosciences.

What You Will Learn

Whether you are new to coding or looking to strengthen your data analysis skills, in this practical course will learn reproducible, scalable flow cytometry analysis in R and cutting‑edge imaging workflows.

The course is divided into three modules.

27^th July: Introduction to R

Core Programming Concepts

28-29^th July: Flow Cytometry Data Science

High-Dimensional and Statistical Analysis
Advanced Visualisation of Cytometry Data
Machine Learning

30^th July: Imaging Cytometry and Spatial Biology

Spatial Biology Analysis with QuPath

Prior programming experience is recommended. Participants may bring their own laptop or use a workstation provided on site.

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

Your 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

Venue and Fees

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

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

Full Course Bundle	£400*
Module Options
Flow Cytometry + Imaging	£350
Intro R + Flow Cytometry	£350
Imaging Only	£100

Registration

Registration Link Coming Shortly!

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

We look forward to welcoming you to Exeter!