Learn how to analyse flow & mass cytometry data in R with us!
Unsupervised clustering, immunological patterns, visualisation tool: everything to analyse your cytometry data. 

Updated the 16th of April 2022

👓 If you already purchased a plan and want to access it, you can do so immediately by clicking on "Training Center" on the top bar menu and then clicking on the option you chose or directly here for VIP and here for others. Enjoy your course. 

  • Basic

    Simple access to flow and mass cytometry course
    Valid for 2 months
    • Access to the course for 2 months
  • Best Value


    Perfect for beginners who would like some active support
    Valid for one year
    • Access to support page with Q&A
    • Personalised support available
    • New updates and exclusive content for advanced training
    • More scripts available for mass and flow cytometry analysis

If you think you cannot see the payment options properly, just refresh the page. 

This is Thierry.

He had some troubles with analysing flow and mass cytometry data on his own in a simple but customisable way. But he finally made it and decided to share it with others. So it is easier for them to get their data analysed. 


Thierry is here to teach you the basic of flow and mass cytometry analysis by only using R. Give him one hour of your time and you won't be afraid of R anymore. The good news is: you don't need to pay anything else. Only one time to get full access to everything you need. It will save you time and energy to improve this valuable skills of mastering R in cytometry analysis. Learning R is also important in other fields than cytometry data analysis. 

Why should you follow this course?

An R course focused on cytometric analysis to avoid manual gating strategy and rapidly find immunological patterns in your data. You will be able to analyse your data by clicking on one button! A high valuable skills in immunology. 

💰What will be the benefits for you?

You will save time, going straight to what you need, avoiding learning all the facets of R you will never use. You will learn R and create your own pipeline. Beyond using a simple package, you will understand R and the code behind. 


▶️ See our introduction of this course.

You liked it? You can then choose the plan which is the best for you. 

This course is different from what is taught at other places. This course is specialised in R and in immunology. We combined both fields into an efficient course you can follow at your own pace. The course is regularly updated. 

Here you will be taught our favorite parts of R in immunology. You will learn the following techniques:

  1. Pre-processing flow and mass cytometry files in R

  2. Clustering analysis: PhenoGraph, FlowSOM, DensVM

  3. Dimensionality reduction: tSNE, PCA, UMAP, Diffusion Map

  4. Visualisation tools: how to quickly identify immunological patterns in your flow or mass cytometry data

  5. Our favorite tricks and further analysis like ClusterX, ImmunoClust and a method to be able to customise your own analysis pipeline. Analyse your CyTOF data yourself in an easy and efficient way!

  6. Regular updates: how to merge samples together in R, how to compare efficiently clustering methods in one go, what are the newest techniques available explained for beginners. 

  7. At the end of this course, you will be able to analyse your data in one simple click

We have two different plans for you. If you are sure you won't need any assistance, if you don't need the course for more than 2 months, then the Basics plan is made for you. Otherwise, a better supportive plan is available.

Heatmap of sample abundance and phenotypic analysis
FlowSOM and ClusterX analysis cluster abundance

You will be able to draw such figures by following this 1-hour-course and customise it by learning how to code in R in immunology.

🔊 Our primary objective is that you enjoy this course. We are here to help you and guide you through the entire course. We always provide assistance and by subscribing to this course, you ensure yourself you will meet the main aim of this website: learn mass and flow data analysis. Universities and well-known companies already trust us. We are very thankful to them 🙏🏽. 

This course has been checked by several reviewers and already tested on several machines. You can use a Mac or a Windows system, both are supported during the videos. 

We keep an eye on what's new and available. We are including new chapters (VIP plan only) regularly to ensure you enjoy the most profitable learning experience. We are listening to every user comment and feedback we receive and give an answer within 24 hours. By choosing our VIP plan, you are sure to get the best assistance in R. 

 We are convinced that you will find this course very profitable. Discounts are available if you want to buy more than 5 VIP plans at a time. Ask us for more information. 


This is just one example among others showing what you will be able to draw after completing the course with us. Don't miss out the opportunity to learn unsupervised analysis of your cytometry data.  

Convince your audience with a state-of-the-art analysis and start our VIP plan now.  

R is important to learn in Bioinformatics and especially in cell biology, immunology and life sciences. R is not restricted to flow cytometry analysis but is a tool for nearly everything. By following this specialised course, you will be ready to learn other similar techniques like single-cell RNA-sequencing, RNA sequencing, epitope predictions and other tools available in Bioconductor. 

Joe, MD Anderson Center, Post-Doc

I wanted to learn how to analyse my flow cytometry data in an unsupervised way and by following this course it is really easy to learn R. Besides, I could be help all along the way. 

Ellen, University of Sydney, PhD candidate

I can customise my own pipeline for my CyTOF analysis now that I followed this training. The videos are clear, concise and furnished with supportive documents. I am sure other people might be interested as well in such a training.

Nancy, PhD candidate

I was looking for a mass and flow cytometry course specifically focused in R for a long time and I am happy I found VisuaLyte