Available Courses

The Oxford Microscopy Course (OxMiC)

 

 

The Oxford Light Microscopy Imaging Facilities invite you to take part in our Essentials of Light Microscopy Course held in the seminar room of the Weatherall Institute of Molecular Medicine on the 4th of December 2024  from 10:00 - 17:00.  This free course brings together imaging experts and facility managers from all across Oxford and is an excellent way for any new starter to get to know the Light microscopy community in Oxford.

This course is suitable for all students, technicians, postdocs and other staff who require microscopy as part of their project/work and does not require any previous microscopy experience. However, more experienced microscopists and PI's may still find this useful, to learn more on experimental design, sample preparation, data storage and image analysis.  

 

The in person OxMic Essentials of Light Microscopy Course will cover the following subjects: 

  • Basics of light microscopy
  • Understanding the microscope body and objectives
  • Principles of widefield microscopy
  • Principles of confocal laser scanning microscopy
  • Principles of Spinning disc and light sheet microscopy
  • Comparision of super resolution techniques
  • Experimental design and which microscope to choose
  • Sample preparation
  • Data storage, metadata, scientific reporting & acknowledgements 
  • Introduction to Image analysis, segmentation and co-localization

 

The short course is meant to provide a basic theoretical background for the everyday microscopy demands in Oxford's biomedical research institutes and connect you with imaging facilities near you. After the course, we will finish the day by going to a the local White Hart pub, to continue discussions and get to know each other.

 

REGISTRATION

 

For any questions, please email microscopy.training@imm.ox.ac.uk

  

Image analysis course

 

The contents of the course include the basics of image analysis, how to automatically segment and count objects (2D and 3D), how to do colocalization analysis, how to use machine learning for denoising and segmentation, and how to automate tasks with macros (and more).

 

This is a free four half-day course, open to everyone. The curse runs twice per term every term.

 

Full details and sign-up here: https://www.medsci.ox.ac.uk/study/skillstraining/calendar/search?category=&keywords=FIJI&archive=

Any questions please contact lior.pytowski@path.ox.ac.uk