Introduction to Image Analysis using ImageJ/Fiji


Monday 12th and Tuesday 13th December 2022. From 1 PM to 5 PM.


Harvard Medical School. Building C (on the Quad). Room C-517 (day 1) and C-439 (day 2)




None, except a laptop and interest in learning some bioimage analysis. If you are already somewhat advanced (you code your own workflows), this level is perhaps not for you.


  1. introduction to digital image analysis, w. focus on bio-images
  2. enhancing images
  3. making measurements
  4. image ethics & reproducibility
  5. recording and modifying simple macros
  6. Topic you vote on in advance (deep learning, co-localisation, tracking, …)


Free of charge.


Please apply for a seat by completing this form. You will receive an automated email confirmation and you can edit your application after submitting.

Deadline for application:

11:59 pm on Monday 28th, November 2022.


Mostly based on your short motivation. In case of oversubscription, the available spaces will be distributed evenly between groups. You will be informed by email about your application no later than Friday 2nd of December.

Looking forward to see you there, Federico Gasparoli and Simon F. Nørrelykke

Simon F. Nørrelykke
Simon F. Nørrelykke
Director, Lecturer

My research interests are mainly methods-oriented and include image analysis (incl. deep learning, spatial statistics, and causal inference), biophysics (broadly interpreted), and complex systems (mostly from a condensed matter physics perspective)