🔬 From FCS to Publication: Transform Your Cytometry Analysis in One Hour
🎬 Watch, Learn, Master: Complete Flow and Mass Cytometry Analysis Course
Updated December 2024
Learn mass and flow cytometry analysis in one single place! No prior coding experience required!
Why R for Cytometry analysis?
- 100% FREE open-source software
- No expensive software licenses needed
- Industry-standard tool for data science
- Completely reproducible analysis
- Endless customization possibilities
- Active scientific community support
Why Our Video Course Works:
- Clear, step-by-step video tutorials you can pause and rewatch
- Hands-on demonstrations of real cytometry analysis workflows
- Screen recordings of actual R coding sessions
- Visual explanations of complex concepts
Your Video Learning Journey:
- Foundation Building
- Follow along with guided R setup and basics
- Watch live demonstrations of data import and manipulation
- See visualization techniques in action
- Advanced Analysis
- Step-by-step video tutorials for FlowSOM clustering
- Visual guides to dimensionality reduction with UMAP and t-SNE
- Watch how to create publication-ready visualizations with AI
- Practical Applications
- Video walkthroughs of real cytometry datasets
- Screen captures of best practices in action
- Live coding of reproducible analysis workflows
💫 Create Publication-Ready Visualizations
- Treatment effect comparisons
- Population analysis
- Multi-parameter visualization
- Automated workflows
📚 Our Book on mass and flow cytometry analysis
Our newly comprehensive guide, “Eat, Pray, Analyze” (December 2024), will transform how you analyze your data.
Whether you’re working with flow cytometry or mass cytometry, our proven approach has helped hundreds of scientists move beyond manual gating to unlock the full potential of their experiments.
Choose between Basic or VIP access to start your journey towards effortless, powerful cytometry analysis.
🫴 We offer Professional Video Training + Comprehensive Guide
Analyse your cytometry data with our expert-led video course and our written guide. Learn to analyze flow cytometry and mass cytometry (CyTOF) data using R in just one hour!
🩺 Created by an MD-PhD: Where Clinical Research Meets Data Analysis
Developed from hands-on experience in both clinic and laboratory, this course addresses the real challenges of cytometry analysis:
- Tracking immunotherapy responses
- Analyzing tumor microenvironment changes
- Comparing treatment effects on immune populations
- Creating publication-ready visualizations that tell the full story
⭐️ Why This Course Is Different
✨ Designed by a clinician-scientist analyzing patient data
🔬 Built from real immunology research experience
⚡️ Focused on what matters in experimental analysis
📊 Developed through actual clinical trials and publications
👌 Perfect For:
🧪 Scientists tracking immune responses 👨⚕️ Clinicians analyzing patient samples 📊 Researchers studying treatment effects 🎓 PhD students mastering data analysis 💻 Core facility managers seeking efficiency
👨⚕️ Backed by Real Experience:
👉 500 Researchers Choose Our Training in R analysis
1. Fast Results
- Master cytometry analysis in one hour with R software
- Start analyzing your data immediately
- Learn at your own pace
- Full access to training materials
2. Practical & Hands-on
- Step-by-step R tutorials
- Real-world examples
- Ready-to-use code templates
- Practice datasets included
3. Comprehensive Coverage
- Flow cytometry analysis
- Mass cytometry (CyTOF) workflows
- Quality control procedures
- Statistical analysis methods
👍 Reviews : what our students say
What our training platform offers:
Watching insightful videos
Explore an all-encompassing guide for mass and flow cytometry analysis, featuring comprehensive instructions, methodologies, and optimal strategies for thorough data evaluation and visual representation.
Ready-to-use R scripts
Unlock the secrets hidden in your cytometry data with our arsenal of R scripts! Dive into a treasure trove of ready-to-use code that transforms complex cellular landscapes into crystal-clear insights, empowering your research to flow as smoothly as your samples.
Articles on single cell analysis
Embark on a cellular odyssey with our cutting-edge single-cell analysis posts, where we unravel the intricate tales of individual cells. Dive deep into a world where every cell has a story, and discover how advanced techniques can help you decode the whispers of genes and proteins at unprecedented resolution.
💫 Flow and Mass Cytometry Analysis: A Revolution in Single-Cell Data
The landscape of cytometry analysis has undergone a dramatic transformation in recent years. Traditional manual gating, while foundational to the field, can no longer fully capture the complexity of modern cytometry data. Today’s researchers need advanced computational approaches to unlock the full potential of their experiments.
🔭 Understanding Modern Cytometry Analysis
Mass cytometry (CyTOF) represents a quantum leap in our ability to analyze cellular complexity. Where traditional flow cytometry might measure 15-20 parameters, mass cytometry can simultaneously analyze over 40 markers per cell. This revolutionary technology uses rare earth metals instead of fluorophores, eliminating the traditional problems of spectral overlap and offering unprecedented insight into cellular heterogeneity.
Advanced computational approaches have become essential for analyzing this high-dimensional data. UMAP and t-SNE have revolutionized data visualization, while algorithms like FlowSOM and PhenoGraph automatically identify cell populations that might be missed by traditional gating. These tools aren’t just convenient – they’re transforming our understanding of cellular biology.
🫣 Beyond Traditional Analysis
The evolution from manual gating to computational analysis isn’t just about automation – it’s about discovery. Unsupervised clustering approaches regularly reveal previously unknown cell populations, especially in complex tissues like tumors. This unbiased approach to data analysis has led to breakthrough discoveries in cancer immunology, autoimmune disease research, and vaccine development.
Consider the tumor microenvironment: modern analysis techniques have revealed an unexpected diversity of immune cell states that simply couldn’t be detected through conventional approaches. These discoveries and R analysis directly impact patient care, helping predict treatment responses and guide immunotherapy decisions.
♻️ The Power of Integration
Modern cytometry analysis doesn’t exist in isolation. Today’s researchers are integrating cytometry data with other technologies like single-cell RNA sequencing and spatial transcriptomics. This multi-omics approach provides unprecedented insights into cellular function, development, and disease.
🏥 Applications Across Biomedical Research
The impact of advanced cytometry analysis and single-cell analysis extends across multiple fields:
In cancer research, high-dimensional analysis has revealed novel immune cell populations within tumors, leading to new therapeutic strategies. Immunologists use these techniques to understand the complex dynamics of immune responses, from vaccine development to autoimmune disease research. Developmental biologists are mapping cellular differentiation with unprecedented resolution.
Who we are
Dr Guillaume Beyrend-Frizon and Madeleine Frizon are behind learncytometry.com. With a blend of medical expertise and data science acumen, Guillaume brings a fresh perspective to the field. Currently working as an intern doctor while leveraging his Ph.D. research, he has made significant contributions to single-cell analysis, including the development of Cytofast, an R package enhancing cytometry data analysis. He is committed to bridging the gap between complex cytometry data and actionable medical insights. Through learncytometry.com, a natural evolution of the previous venture Visualyte, Guillaume aims to democratize advanced cytometry techniques, empowering researchers and clinicians worldwide.
Madeleine is in charge of the administrative tasks related to Visualyte.
📇 How to contact Us
Feel free to reach us by email.
Do you have questions about our training materials, or would you like to organize on-site workshops? We’d love to hear from you.
Please email us at: info@learncytometry.com
We want you to know that we aim to respond to all inquiries within 24 hours during business days.