The (pre-semester) microscopy course is organized by the Imaging & Optics Facility (IOF) and aims to generate the understanding of how to design your experiments using matching imaging techniques. We explain the fundamental knowledge required to understand the concepts of different microscopy technologies and image analysis procedures.
As a red line we aim to aise awareness of the importance of proper data acquisition and the timely image analysis assessments during essay establishment: timely assay-evaluation is critical to determine if the fundamental ‘properties of process of interest’ can be resolved and quantified by the used imaging approach. To this aim, participants will be introduced to contemporary microscopy techniques, with a focus on the methods that are available at ISTA campus. Lectures will cover microscopy-related principles of optics, anatomy of the microscope, principles of fluorescence, sample preparation, methods of optical sectioning, image acquisition methods, super-resolution technologies, basics of electron microscopy and the basics of data analysis. Besides lecture, the course also includes on-system demonstrations for credit-students (limited seats).

Target group: Course is open to all Students and/or Postdocs, with an emphasis on using optical microscopy techniques during their projects. We would prioritize new PHd students.

Prerequisites: This is a crash-course providing an overview of all common microscopy technologies - although there are no prerequisits, the course is 'high content' - commitment to active participation is a requirement therefore.

Evaluation: participation (presence) + final examination (questionnaire + image analysis scripting assignment)

Teaching format: (hybrid) lecture combined with on-system demonstrations:
- week 1: 2 x full day -> introduction lectures + system demo's
- week 2: 4 x half days (morning at best) -> tech lectures + system demo's
- week 3: 2 x half days (afternoon at best) -> image analysis

ECTS: 2 Year: 2023

Track segment(s):
Service

Teacher(s):
Marco Dalla Vecchia Bernhard Hochreiter Tereza Belinova Maximilian Schuster Yann Cesbron Mohammad Goudarzi Aysan Yahya Nasser Darwish-Miranda Doreen Milius Ludek Lovicar Robert Hauschild Gabriel Krens

Teaching assistant(s):

If you want to enroll to this course, please click: REGISTER