Flow Cytometry & Single-Cell Analysis: From Sample to Data
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Course Overview
Program Syllabus
Module 1
About This Course
Flow cytometry is a cornerstone technology in immunology, cancer biology, hematology, and cell therapy, enabling rapid multiparametric analysis of thousands of cells per second. When combined with robust gating strategies and single-cell analytics, it provides deep insight into cell phenotypes, activation states, and functional profiles.
This workshop focuses on both experimental and analytical skills. Participants will learn proper sample handling, staining protocols, compensation, panel design basics, and instrument setup. On the data side, they will work with real flow files (FCS), practice manual gating, and get a guided introduction to advanced single-cell analysis approaches (e.g., clustering, dimensionality reduction). The emphasis is on “learn by doing”, making it ideal for those who want to actively use flow cytometry in their projects.
Module 2
Aim
This workshop aims to provide participants with intensive, practice-oriented training in flow cytometry and single-cell analysis—covering the complete journey from sample preparation to data interpretation. With hands-on sessions, participants will learn how to design panels, prepare samples, acquire data on a flow cytometer, and perform high-quality analysis using modern software tools. The program is designed to build confidence for real lab and research scenarios in immunology, oncology, stem cell biology, and translational research.
Module 3
Workshop Objectives
- Understand the principles of flow cytometry and single-cell measurements.
- Perform basic sample preparation and staining for flow experiments.
- Acquire and quality-check data on a flow cytometer (as per setup at your center).
- Apply gating strategies, compensation, and basic statistics for data interpretation.
- Explore introductory single-cell data analysis workflows, including clustering and dimensionality reduction.
Module 4
Day 1 – Basics & Sample Preparation
- Flow cytometry principle, FSC/SSC, fluorescence channels.
- Immunophenotyping: surface markers, fluorochrome-tagged antibodies (concept).
- Sample prep: washing, counting, adjusting cell concentration.
Staining protocol: adding antibodies, incubation, washing, resuspension. - Hands-on: prepare and stain cells for acquisition (setup for Day 2).
Module 5
Day 2 – Instrument Setup, Acquisition & Gating
- Controls: unstained, single-stained, basic idea of FMO.
- Instrument setup: voltages, fluidics, choosing parameters.
- Running samples on the flow cytometer (controls + stained samples).
- Basic gating strategy: FSC/SSC → singlets → target population.
- Hands-on: live gating and basic compensation, save gated data.
Module 6
Day 3 – Panel Design, Data Analysis & Plots
- Simple panel design: matching markers to fluorochromes, minimizing overlap.
- Data analysis: population percentages, basic MFI, comparing two conditions.
- Plot types: histograms, dot plots; layout for reports/publications.
- Quick intro to high-dimensional/single-cell analysis (t-SNE/UMAP – concept only).
- Hands-on: export stats, generate publication-quality plots, short Q&A.
Module 7
Who Should Enrol?
- Undergraduate/postgraduate degree in Biotechnology, Microbiology, Immunology, Biochemistry, Life Sciences, Biomedical Engineering, or related fields.
- Research scholars and professionals in immunology, oncology, hematology, clinical diagnostics, or cell biology.
- Individuals planning to use flow cytometry for their thesis, research, or lab work.
- Beginners are welcome; prior flow experience is not mandatory but basic cell biology knowledge is expected.
Module 8
Important Dates
Module 9
Registration Ends
12/21/2025
IST 7:00 PM
Module 10
Workshop Dates
12/21/2025 – 12/23/2025
IST 08:00 PM
Module 11
Workshop Outcomes
- Gain hands-on experience in setting up and running basic flow cytometry experiments.
- Learn how to design simple immunophenotyping panels and prepare samples.
- Become comfortable with gating, compensation, and data QC.
- Practice analyzing FCS data and generating publication-ready plots.
- Understand the basics of single-cell clustering and visualization for flow data.
Module 12
Fee Structure
Module 13
Student Fee
₹1799 | $70
Module 14
Ph.D. Scholar / Researcher Fee
₹2799 | $80
Module 15
Student Fee
₹3799 | $95
Module 16
Industry Professional Fee
₹4799 | $110
Module 17
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Module 18
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 19
Publication Opportunity
Get published in a prestigious open-access journal.
Module 20
Centre of Excellence
Become part of an elite research community.
Module 21
Networking & Learning
Connect with global researchers and mentors.
Module 22
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 23
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