A virtual beginners course in High Parameter Flow Cytometry Data Analysis

21st - 22nd October 2025

Please contact btf-enquiries@york.ac.uk for further information

Introduction

This course is designed to train beginners how to undertake high dimensional flow cytometric analysis. This will be a practical based course with the theory and concepts behind dimensionality reduction and clustering in a manner that is relevant and practical to cytometerists.

No programming experience is required, and so this will be a greater way to remove the barriers to undertaking and supporting deeper flow analysis. It will teach how to use python and flow cytometry analysis software FCS Express (De Novo, Dotmatcs) and will go through the practice as well as the pre-processing tasks required for analysis pipelines.

At the end of the course you should have an understanding of the associated mathematical algorithms, which algorithms to choose, what they illustrate about the data set and how to integrate Python scripts into the FCS Express flow cytometry analysis software.

Prerequisites to attend:

1) Your own laptop, preferably with Python installed but this is not essential (instructions will be provided)

2) An understanding the basic principles of flow cytometry compensation, plotting fcs data and conventional gating data analysis.

Course Programme

A preliminary programme is shown below:

Day 1	Aims
10:00 am to 10:15 am	Lecture Introduction: High Parameter, Definitions, Tools, Data, Pipelines and Outputs Alastair Droop Karen Hogg
11:30 am to 11:45 am	Break
11:45 am to 1:00 pm	Practical part The beginnings – Python and FCS data
1:00 pm to 1:45 pm	Lunch break
1:45 pm to 2:45 pm	Practical – Python – exploring FCS data
2:45 pm to 3:30 pm	Practical – Python – cleaning FCS data
3:00 pm to 3:15 pm	Break
3:15 pm to 3:30 pm	Lecture FCS Express – Data input, plot and clean
3:30 pm to 4:15 pm	Practical FCS Express – Data, key words, plot, clean and explore
4:15 pm to 5:15 pm	Lecture FCS Express: – High parameter data analysis
Day 2	Aims
9:00 am to 9:30 am	Lecture High parameter data analysis – Dimensionality Reduction and Clustering Alastair Droop
10:00 am to 11:00 am	Practical – FCS Express Dimensionality Reduction and Clustering
11:00 am to 11:30 am	Break
11:30 am to 1:30 pm	Practical – High Dimensional data analysis pipeline in Python Practical – High Dimensional data analysis pipeline using FCS Express with Python
1:30 pm to 2:15 pm	Lunch break
2:15 pm to 3:30 pm	Practical - Data analysis in practice – data sets will be provided and you choose how to analyze
3:30 pm to 3:45 pm	Break
3:45 pm to 4:15 pm	Q&A Data analysis in practice – analysis outputs can be shared and discussed
4:15 pm to 4:55 pm	Practical - Data analysis in practice – data sets will be provided and you choose how to analyze
5:00 pm to 5:15 pm	Closing comments

Note: schedule is provisional and subject to change

Course Tutors

Karen Hogg, Technology Facility, Department of Biology, University of York
Alastair Droop, Technology Facility, Department of Biology, University of York
Sukhveer Mann, Technology Facility, Department of Biology, University of York
Andrea Valle, Dotmatics

Course Booking

21st-22nd October 2025

The registration fee covers all tuition, links or digital content will be available after the course has finished.

The course investment fee is: £190 Academic Rate | £290 Industrial Rate

As the number of places is limited, early registration is advised. To register for the Virtual High Parameter Flow Cytometry Data Analysis, please fill in the registration form Reg_Form_HP_Flow_21-22 Oct 25 Virtual (PDF , 255kb) and email to btf-enquiries@york.ac.uk

Refund Policy

The full registration fees are payable in advance and there is a 10% administrative charge for cancellations received in writing up to 10 working days before the start of the course. No refunds will be made for cancellations received within 10 working days of the course start date or for the inability to attend the course for whatever reasons. The University is not liable for non-attendance due to travel disruptions, health problems or any other reason that might lead to a delegate not being able to attend the course. You are strongly advised to ensure you have appropriate insurance. Substitutions may, of course, be made at any time, providing you inform us in writing.

More Information

For any further questions concerning the course itself, please contact:

Dr Karen Hogg
Department of Biology (Area 15)
University of York
York YO10 5DD
UK
Tel: +44 (0)1904 328720
Fax: +44 (0)1904 328804
E-mail: karen.hogg@york.ac.uk

Flow Course Photo