Course B69/27 Flow cytometry

ECTS: 2.9

Course leader: Charlotte Christie Petersen

Language: English

Graduate school: Faculty of Health

Course fee: 3,480.00 DKK

Max seats: 16

Applicants: 27

Status: Course is finished

Semester: Spring 2021

Application deadline: 15/03/2021

Start date: 12/04/2021

Administrator: Johanne Gregor Nielsen


Please notice the change of course dates.

NB Online

Please notice this course will be held online with out the hands on exercises.

Title: Flow cytometry B69/27

is offered by the Graduate School of Health, Aarhus University, spring 2021

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.

Learning outcomes:
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.

Instructors: Anja Bille Bohn, Anette Thomsen, Anni Skovbo, Bjarne Møller, Charlotte Christie Petersen, Mikkel Steen Petersen, Søren Egedahl Degn, Tina Dalgaard and Thomas Wittenborn

Time and date: 

12 April 8:00-15:15
13 April 8:30-15:30
14 April 8:30-15:45
15 April 8:30-15:00
16 April 8:30-14:15

Place:  Monday to Thursday at The Victor Albeck Building, building 1266, The Blue Auditorium (room 222) and friday Kollokvierum East (1268-218)

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




Course dates:

  • 12 April 2021 08:30 - 15:15
  • 13 April 2021 08:30 - 15:30
  • 14 April 2021 08:30 - 15:45
  • 15 April 2021 08:30 - 15:00
  • 16 April 2021 08:30 - 14:15