Inserm Workshops 2026 - INSERM

Inserm Workshops 2026

Workshop 291 - Multiparametric Cytometry Data Analysis: Stairway to High-Content

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Phase I (theoretical) & Phases II (practical) schedules

 

 Lundi 5 octobre 2026 ◘ Monday, October 5th, 2026 

14:30 - 15:00  Reception of participants 
15:00 - 15:15  Welcome and presentation by the organizers 
SESSION I  Cytometry data pre-processing 
15:15 - 16:00  Selection of high-quality cytometry data 
Sofie van Gassen (VIB, Ghent, Belgium) 
16:00 - 16:30  Coffee Break & Posters Session 
16:30 - 17:15  Normalization, transformation and scaling of cytometry data 
Raphael Gottardo (University of Lausanne, Switzerland) 
17:15 - 18:00  Experimental design, quality controls and batch correction 
Katrien Quintelier (VIB, Ghent, Belgium) 
18:00 - 19:00  Panel discussion 
19:00 - 19:15  Posters Presentation 
19:15 Cocktail Dinner & Posters Session 
 Mardi 6 octobre 2026 ◘ Tuesday, October 6th, 2026 
06:30 - 08:30  Breakfast 
SESSION II  Cytometry data unsupervised analysis 
08:30 - 09:15  Dimension Reduction: how to use it properly. 
Anna Belkina (Boston University, USA) 
09:15 - 10:00  Clustering: use, limits and control. 
Yvan Saeys (VIB, Ghent, Belgium) 
10:00 - 10:30  Coffee Break & Posters Session 
10:30 - 11:15  Clustering & Dimension Reduction: making most of them. 
Jonathan Irish (Vanderbilt University, Nashville, USA) 
11:15 - 12:00  Panel discussion 
12:00 - 13:00  Lunch 
SESSION III  Automated gating and machine learning 
13:00 - 13:45  StarGate, rigorous repetitive analyses with standardized gating strategies 
Martin Mestdagh (Institut Curie, Paris, France) 
13:45 - 14:30  Cytolytic: One stream automatic solution for your analysis 
Can Pinar (Cytolytics, Berlin Germany) 
Benjamin Tast (LMU-BMC, Munich, Germany) 
14:30 - 15:15  METAFlow: Augmented intelligence-driven analysis solution 
Vincent Petit (METAFlow, Paris, France) 
Mar Naranjo-Gomez (IRMB INSERM, Montpellier, France) 
15:15 - 16:00  terraFlow: Supervised analysis from the FCS to the scientific report 
Arielle Ginsberg (terraFlow, New York, USA) 
Sonia Gavasso (University of Bergen, Norway) 
16:00 - 16:45  Round Table 
16:45 - 17:15  Coffee Break & Posters Session 
SESSION IV  Cell annotation 
17:15 - 17:30  Introduction to cell annotation 
Alexia Alfaro (Institut Gustave Roussy, Paris, France) 
17:30 - 18:15  Global Standardization of Immune Cell Population Identification and Semantic Annotation 
Ryan Brinkman (Dotmatics, Boston, USA) 
18:15 - 19:00  Global Standardization by arithmetization 
Antonio Cosma (Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg) 
19:00 - 19:30  Panel discussion 
20:15 Dinner 

Mercredi 7 octobre 2026 ◘ Wednesday, October 7th, 2026 

06:30 - 08:30  Breakfast 
SESSION V  Biological and clinical cytometry data integration 
08:30 - 09:15  Cytometry / Omics / Clinics: how to perform integration? 
Sarah Bonte (VIB, Ghent, Belgium) 
09:15 - 10:00  Application of cytometry data integration in multiomics analysis 
Thomas Ashhurst (University of Sydney, Australia) 
10:00 - 10:30  Coffee Break & Posters Session 
10:30 - 11:15  Machine learning for integrating clinical and biological data 
Samuel Granjeaud (CRCM, Marseille, France) 
11:15 - 12:00  Panel discussion 
12:00 - 14:00  Lunch 
14:00 Departure 

 

Phases II Schedule

The aim of the practical workshops will be to explore different aspects of high-content cytometry data analysis with experts in the field, and to train young researchers for future implementation in their practice. The principle, the workflow, interpretation and comparison of each process/tool will be discussed.

For the participants of the practical workshops 1 and 4, a good experience in conventional data analysis is required. For workshop 1, experience of FlowJo and unsupervised analysis is required. For the workshops 2 and 3, a minimal level of experience in R will be required.

 

Workshop 1- Control and push the limits of unsupervised analysis (3 effective days, 2 nights on site, starting from 14:00 the first day, ending at noon the last day).

  1. Recap of Quality Control, Intensity Transformation and Batch Effect (including a recap of an unsupervised analysis pipeline)
  2. Transforming intensity: impact on dimension reduction and clustering
  3. Data cleaning using FlowAI, PeacoQC and FlowCut algorithms: comparison and parameters optimization with different datasets
  4. Correcting batch effects using CytoNorm, CyCombine and CytoBatchNorm: with or without reference sample, correction check
  5. Recap of Cell Annotation
  6. Annotating cells using Scyan and Scaffold: comparison to heatmap, ClusterExplorer and MEM
  7. Addressing large experiments with FlowSOM and by up-sampling with Embded and kNN.

Workshop 2- Dimension reduction and clustering pipelines and available tools (3 effective days, 2 nights on site, starting from 14:00 the first day, ending at noon the last day).

  1. Introduction to dimension reduction and clustering pipelines - 1h (day 1 pm)
  2. OmiQ presentation and manipulation - 1h + 2h (day 1 pm)
  3. Cytobank presentation and manipulation - 1h + 2h (day 2 am)
  4. Cytolitics presentation and manipulation - 1h + 2h (day 2 pm)
  5. cytofkitlab R package GUI manipulation - 1h (day 3 am)
  6. cytofkitlab R package script manipulation - 3h (day 3 am)

Workshop 3- Automated supervised pipelines with OpenCyto and FowDensity (3 effective days, 2 nights on site, starting from 14:00 the first day, ending at noon the last day).

  1. Introduction to automatic gating and available pipelines - 1h (day 1 pm)
  2. Flowdensity package presentation and manipulation - 3h (day 1 pm)
  3. OpenCyto package presentation and manipulation - 3h (day 2 am)
  4. OpenCyto automatic pipeline construction - 3h (day 2 pm)
  5. Validation and evaluation of results using manual gating - 1h (day 2 pm)
  6. Advance manipulation of OpenCyto and FlowDensity scripts for full automatization - 3h (day 3 am) 

Workshop 4- Full analysis pipeline supported by Business Intelligence tools (3 effective days, 2 nights on site, starting from 14:00 the first day, ending at noon the last day).

  1. Panel Design
  2. Manual hierarchical analysis
  3. Automatic unsupervised analysis (clustering and dimension reduction)
  4. Metadata integration
  5. Statistical analysis
  6. Database building and visualization (integration of information generated from steps 1 to 5 in a unique database)
  7. Table Public sharing (including Ethical aspects of Patient data sharing)

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