Unit 1
Unit 1:
Introduction to Flow Cytometry, Overview of flow cytometry and its historical development, Basic components of a flow cytometer: fluidics, optics, and electronics, Principles of fluorescence and fluorochrome selection.
| Course Name | Flow Cytometry Cell Sorting and Applications |
| Course Code | 25CT511 |
| Program | M. Sc. in Cell Therapy |
| Semester | 2 |
| Credits | 3 |
| Campus | Faridabad |
Unit 1:
Introduction to Flow Cytometry, Overview of flow cytometry and its historical development, Basic components of a flow cytometer: fluidics, optics, and electronics, Principles of fluorescence and fluorochrome selection.
Unit 2:
Instrumentation and Operation, Detailed study of flow cytometer components and their functions, Calibration, compensation, and quality control procedures, Hands-on training in instrument startup, operation, and shutdown protocols.
Unit 3:
Experimental Design and Multicolor Panel Development, Strategies for designing flow cytometry experiments, Selection of antibodies and fluorochromes for multicolor panels, Controls and standards in flow cytometry assays.
Unit 4:
Data Acquisition and Analysis, Techniques for data acquisition and gating strategies, Use of flow cytometry software for data analysis, Interpretation of histograms, dot plots, and statistical outputs.
Unit 5:
Cell Sorting Techniques, Principles and mechanics of fluorescence-activated cell sorting (FACS), Sorting strategies: purity vs. yield considerations, Practical sessions on setting up and performing cell sorting experiments.
Unit 6:
Applications of Flow Cytometry, Immunophenotyping and analysis of immune cell subsets, Assessment of cell cycle, apoptosis, and proliferation, Applications in stem cell research and cancer immunology.
(45 classes)
Preamble
Flow Cytometry Cell Sorting and Applications is a postgraduate-level course designed to provide students with a comprehensive understanding of flow cytometry techniques and their applications in biomedical research and clinical diagnostics. The course will cover the principles of flow cytometry, instrumentation, fluorescence-based detection, and real-world applications in cell analysis and sorting. Through lectures, case studies, and hands-on sessions, students will learn about the utilization of flow cytometry in medicine.
Course Outcomes:
CO1: Explain the principles and historical development of flow cytometry, including the role of fluidics, optics, and electronics.
CO2: Operate flow cytometers and perform calibration, compensation, and quality control procedures.
CO3: Design multicolor flow cytometry experiments, including appropriate selection of antibodies, fluorochromes, and controls.
CO4: Acquire and analyze flow cytometry data using software tools, applying effective gating strategies and interpretation methods.
CO5: Perform fluorescence-activated cell sorting (FACS), understanding the mechanics, setup, and optimization for purity and yield.
CO6: Apply flow cytometry in biomedical contexts such as immunophenotyping, apoptosis detection, and stem cell/cancer research.
Program outcome
PO1: Bioscience Knowledge
PO2: Problem Analysis
PO3: Design/Development of Solutions
PO4: Conduct Investigations of complex problems
PO5: Modern tools usage
PO6: Bioscientist and Society
PO7: Environment and Sustainability
PO8: Ethics
PO9: Individual & Team work
PO10: Communication
PO11: Project management & Finance
PO12: Lifelong learning
0 – No affinity; 1 – low affinity; 2 – Medium affinity; 3 – High affinity
| CO | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 |
| CO1 | 3 | 2 | 1 | 2 | 2 | 1 | 1 | 2 | 1 | 1 | 0 | 2 |
| CO2 | 3 | 2 | 2 | 3 | 3 | 1 | 1 | 2 | 2 | 2 | 1 | 3 |
| CO3 | 3 | 3 | 3 | 3 | 3 | 1 | 1 | 2 | 2 | 2 | 1 | 3 |
| CO4 | 3 | 3 | 2 | 3 | 3 | 1 | 1 | 2 | 1 | 2 | 1 | 3 |
| CO5 | 3 | 3 | 3 | 3 | 3 | 1 | 1 | 2 | 2 | 2 | 2 | 3 |
| CO6 | 3 | 2 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 1 | 3 |
Program-specific outcome
PSO 1 – Emerging technologies in cell therapy
PSO 2 – Biomolecules in Medicine
PSO 3 – Molecular dysregulation in diseases
PSO 4 – Molecular technology in diagnosis and therapy
PSO 5 – Applying lab discoveries to clinical practice
PSO 6 – Advanced techniques in cell culture, gene editing, and bioprocessing
PSO 7 – Statistical methods to interpret and validate diagnostic results
PSO 8 – Integrate cell therapy into personalized medicine
PSO 9 – GMP and regulatory practices in cell therapy production
PSO 10 – Bioinformatics and biological data use
0 – No affinity; 1 – low affinity; 2 – Medium affinity; 3 – High affinity
| CO | PSO1 | PSO2 | PSO3 | PSO4 | PSO5 | PSO6 | PSO7 | PSO8 | PSO9 | PSO10 |
| CO1 | 2 | 2 | 2 | 2 | 2 | 1 | 1 | 1 | 1 | 1 |
| CO2 | 3 | 2 | 2 | 3 | 3 | 3 | 2 | 2 | 2 | 1 |
| CO3 | 3 | 2 | 2 | 3 | 3 | 3 | 2 | 2 | 2 | 2 |
| CO4 | 3 | 3 | 3 | 3 | 3 | 2 | 3 | 2 | 2 | 3 |
| CO5 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 3 | 2 |
| CO6 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 3 | 2 | 3 |
Textbook:
Ormerod MG. Flow Cytometry: A Practical Approach. 3rd ed. Oxford: Oxford University Press; 2000.
Reference Book:
Robinson JP, Darzynkiewicz Z, Dressler LG, et al., editors. Current Protocols in Cytometry. New York (NY): John Wiley & Sons; 2001.
DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.