Atelier 291 - Analyse des Données Multiparamétriques de Cytométrie : en chemin vers le haut-contenu
Programmes Phase I (théorique) et Phases II (pratiques)
Lundi 5 octobre 2026 ◘ Monday, October 5th, 2026 |
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| 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 |
Programme des phases II / 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).
- Recap of Quality Control, Intensity Transformation and Batch Effect (including a recap of an unsupervised analysis pipeline)
- Transforming intensity: impact on dimension reduction and clustering
- Data cleaning using FlowAI, PeacoQC and FlowCut algorithms: comparison and parameters optimization with different datasets
- Correcting batch effects using CytoNorm, CyCombine and CytoBatchNorm: with or without reference sample, correction check
- Recap of Cell Annotation
- Annotating cells using Scyan and Scaffold: comparison to heatmap, ClusterExplorer and MEM
- 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).
- Introduction to dimension reduction and clustering pipelines - 1h (day 1 pm)
- OmiQ presentation and manipulation - 1h + 2h (day 1 pm)
- Cytobank presentation and manipulation - 1h + 2h (day 2 am)
- Cytolitics presentation and manipulation - 1h + 2h (day 2 pm)
- cytofkitlab R package GUI manipulation - 1h (day 3 am)
- 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).
- Introduction to automatic gating and available pipelines - 1h (day 1 pm)
- Flowdensity package presentation and manipulation - 3h (day 1 pm)
- OpenCyto package presentation and manipulation - 3h (day 2 am)
- OpenCyto automatic pipeline construction - 3h (day 2 pm)
- Validation and evaluation of results using manual gating - 1h (day 2 pm)
- 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).
- Panel Design
- Manual hierarchical analysis
- Automatic unsupervised analysis (clustering and dimension reduction)
- Metadata integration
- Statistical analysis
- Database building and visualization (integration of information generated from steps 1 to 5 in a unique database)
- Table Public sharing (including Ethical aspects of Patient data sharing)