6-7 April 2020
Europe/Berlin timezone

Registration deadline: 28 February 2020

AIM OF THE COURSE: The course will cover topics related to physical optics and microscopy, with a specific focus on the most recent techniques developed for advanced imaging. The aim is to illustrate the principles used in state of the art microscopy in the context of biological imaging.

LEARNING OUTCOME: The course will allow for understanding the principles by having a “under the hood” look at cutting-edge microscopes. The participants will have a clear understanding the image forming process and have an insight into the underlying physics. A hands-on session will show the participants how the principles translates into practice and highlight the technical challenges one has to face when trying to attain the highest performance from an optical system.

The number of participants is limited to 10.  The course is open for DIPP PhD students and CBG Postdocs.

We will inform you after the registration deadline whether a slot in the course could be assigned to you!

Seminar Room 3
Pfotenhauerstr. 108 01307 Dresden

LECTURER: Nicola Maghelli, MPI-CBG Advanced Imaging Facility Leader

COURSE CONTENT: Starting from few basic principles, the course will illustrate the image formation process of several microscopes. The participants will learn how to calculate the point spread function (PSF) of different microscopes using numerical simulations, and model the light-tissue interaction within biological samples. The methods which will be used are:

  • Geometrical optics
  • Physical optics
  • Numerical integration

COURSE STRUCTURE: The course will start with a brief introduction about optics and microscopy, then focus on the physics underlying image formation. The participants will learn how to setup a numerical simulation for computing the PSF of different microscopes. Finally, the simulations will be tested against real data acquired with a microscope.

BACKGROUND READING: Basic introductory reading about physical optics: Biobeam https://maweigert.github.io/biobeam/



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