FlowJo: High dimensional analysis of flowcytometry data

Location: Erasmus MC

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FlowJo: "High dimensional analysis of flowcytometry data” - Online Course

Analysis of flow cytometry data is getting more and more complex due to increased parameters that can be measured on a single sample. High dimensional analysis software can help to properly and systematically analyze big flow cytometry datasets. 

This course on high dimensional analysis of flow cytometry data provides theoretical background in high dimensional analysis, will discuss the pros and cons of available software and help you decide what program is best for you.
Day 1 :  What is high dimensional analysis? What do you have to do with your samples, what kind of quality control, what kind of tools/methods are available, what are advantages and disadvantages of the respective methods. How do you decide what program is most suitable for you? 
Day 2: Will go into different programs that are generally used for high dimensional analysis of flow cytometry data, amongst others tSNE, Cyclospore, FlowSOM and Euroflow pipeline. The ins and outs, as well as the pro and cons of the programs will be discussed.

NB: we are planning a 3rd day with Flow Cytometry Analysis using FlowJo software, which will be organized later.

PROGRAM (Nb. Just to give you an expression of the previous course)
Monday 6th of July, day 1: Ins and outs of high dimensional analysis

                              Katrien Quintelier, VIB Ghent      
                             Juan Garcia-Vallejo, Amsterdam UMC 
10:00 - 11:00       Introduction / Background 
                            What is high dimensional analysis, machine learning, etc.
11:15 - 12:30       Pre-processing & Quality control 
13:30 - 15:30       Advantages and Disadvantages of different analysis methods and how to decide what
                            method fits best

Tuesday 7th of July, day 2: Analysis tools for high dimensional analysis of flow cytometry data 

10:15 - 12:30      Thomas Höllt, TU Delft     
·                          T-SN /H-SNE analysis (more ‘basic’ tool and intro required for Cyclospore) 
·                          Cytosplore (https://www.cytosplore.org)

13:30 - 15:15      Sofie van Gassen, VIB Ghent             

15:30 - 16:30     Vincent van der Velden, Dept. of Immunoloy, Erasmus MC
                           Clinical pipeline EuroFlow & Infinicyt  

Katrien Quintelier, VIB Ghent
Juan Garcia-Vallejo, Amsterdam UMC
Thomas Höllt, TU Delft     
Sofie van Gassen, VIB Ghent             
Vincent van der Velden, Erasmus MC
Organization Committee
Wendy Unger
Yvonne Muller
Jasper Rip
Denise van Uden
Vincent van der Velden
Elwin Rombouts

Date, Time & Location
10:00 – 17:00

Full participation yields 0,6 ECTS


Course fees:
If not otherwise indicated, Erasmus MC PhD courses are free for Erasmus MC PhD candidates and Research Master students who use them as electives. Erasmus MC employees pay €100/day. External PhD candidates pay €100/day. Commercial and other external participants pay €200/day. There is one fee for the entire course, there is no reduction for partial participation.

Cancellation policy:
Erasmus MC Graduate School charges a cancellation fee of €75 for all cancellations made more than 22 days before the start of the course. Fifty percent of the course fee, with a minimum of €75, is due for cancellations made between 21 and 10 days before the start date. The full course fee is due for cancellations made less than 10 days before the start date, or in case of no-show without cancellation. For Erasmus MC PhD candidates the full course fee in case of the cancellation policy will be the equivalent of the number of course days times €100. 

All invoices will be sent to the head of department or for external participants to the e-mail address provided upon registration. 

Those who register for a PhD course agree with these financial conditions.

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