Course leader: Charlotte Christie Petersen
Graduate school: Faculty of Health
Graduate program: BIO
Course fee: 4,200.00 DKK
Status: Course is open for application
Semester: Spring 2024
Application deadline: 05/02/2024
Cancellation deadline: 19/02/2024
Course type: Classroom teaching
Start date: 04/03/2024
Administrator: Johanne Gregor Nielsen
The course J.nr B69/33 Flow Cytometry, is being offered by the Graduate School of Health, Aarhus University, 2024.
Criteria for participation: University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).
Aim: The aim of the course is to provide a solid theoretical and practical foundation in modern flow cytometry, enabling participants to assess and conduct flow cytometric experiments independently.
- Understanding the physics behind flow cytometry
- Understanding the applications and limitations of flow cytometry
- Practical knowledge and experience with flow cytometry experiment design
- Understanding essential flow cytometry controls
- Awareness of common (and not so common) pitfalls
- Hands-on, practical experience with data analysis
- Ability to critically evaluate flow cytometry results
- Requirements for publication of flow cytometry experiments
In contrast to most basic flow cytometry courses and online resources, this intensive training course teaches key concepts by derivation from "first principles". The course thus covers the progression from the basic physics of light and fluorescence, through fluorochrome chemistry, spectral overlap and compensation, and antibody panel design, experiment design, flow cytometry controls, and data analysis. On the instrumentation side, the course provides a detailed understanding of the core components in modern flow cytometers, thus covering light detection principles, fluidics, optics and signal processing. Data analysis and compensation is taught by a "hands-on" approach via practical computer exercises with FlowJo software and generic, raw flow cytometry data files (participants are encouraged to bring their own PC and data, if relevant). Advanced data analysis approaches (clustering, dimensionality reduction, tSNE and more) are presented in the last part of the course. In addition, guidelines for publishing flow cytometry data will be covered.
Workload: The full workload of the course is expected to be 35 hours
Content: The Flow Cytometry Course alternates between theoretical lectures, computer exercises and practical hands-on exercises in the laboratory.
Instructors: Charlotte Christie Petersen, Anja Bille Bohn, Thomas Rea Wittenborn and Mikkel Steen Petersen
Venue: Aarhus University, Aarhus
Participation in the course is without cost for:
- PhD students, Health Research Year students from Aarhus University
- PhD students enrolled at partner universities of the Nordoc collaboration
- PhD students from other institutions in the open market agreement for PhD courses
- 04 March 2024 08:30 - 16:00
- 05 March 2024 08:30 - 16:00
- 06 March 2024 08:30 - 16:00
- 07 March 2024 08:30 - 16:00
- 08 March 2024 08:30 - 15:00