Course leader: Charlotte Christie Petersen
Graduate school: Faculty of Health
Max seats: 16
Status: Course is finished
Application deadline: 24/08/2020
Start date: 21/09/2020
Administrator: Randi Ulrikke Aaberg-Warncke
Title: Flow cytometry
is offered by the Graduate School of Health, Aarhus University, fall 2020
NB! Please notice that we also offer an advanced course in Flow cytometry “B99/01 Advanced Flow Cytometry”
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.
Content: The course consists of lectures, interactive exercises, practical data-analysis on own computer, and hands-on exercises in front of both a flow cytometer and a cell sorter. The course has been designed to teach the capabilities of flow cytometry and to raise awareness of typical pitfalls. The instructors will focus on a broad spectrum of flow cytometric topics and discuss examples from various research applications.
Recommended knowledge for participation: The literature suggested in the detailed program is recommended prior reading.
Head of course: Charlotte Christie Petersen, Anja Bille Bohn and Mikkel Steen Petersen
Instructors: Anja Bille Bohn, Anette Thomsen, Anni Skovbo, Bjarne Møller, Charlotte Christie Petersen, Mikkel Steen Petersen, Søren Egedahl Degn, Tina Dalgaard and Thomas Wittenborn
Number of participants: Max 16
Time and date: 21-25 September 2020
21 September 8:30-15:15
22 september 8:30-15:30
23 September 8:30-15:45
24 September 8:30-15:00
25 September 8:30-14:15
Venue: The Victor Albeck Building, building 1266, The Blue Auditorium (room 222)
Course fee: DKK 2.280
Participation in the course is without cost for:
- PhD students, Research Year students and Research Honours Programme 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
Application deadline: 24 August 2020