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September 2019
CROSS INSTITUTIONAL BIOIMAGING PHD COURSE
Next time: Fall semester 2019, 9 lectures Locations: Copenhagen, Odense, Århus, Kng. Lyngby. (Transportation expenses are not covered by the course) Language: English Level of course: PhD course No. of contact hours 80 Capacity limits: 20 10 ECTS points Classroom: Date Title Location Monday September 9 Fluorescence Microscopy, two photon and Image Analysis SDU Monday September 16 Confocal Microscopy KU Monday September 23 Non-invasive imaging modalities (PET-SPECT-CT-R) SDU/OUH Monday September 30 Live imaging in yeast, plants and mammalian cells KU Monday October 7…
Find out more »October 2019
Electron Microscopy Course, KU
Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School). All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student, you will be placed on the waiting list for the course until enrollment deadline. After the deadline of enrollment, available seats will be allocated to students on the waiting list. Course title Electron Microscopy Content This course is suitable…
Find out more »Volume Electron Microscopy by Automated Serial SEM
Course Overview Recent developments in scanning electron microscopes (SEM) have led to ground-breaking opportunities in volume imaging of cells and tissues. The aim of the course is to provide extensive theoretical and practical knowledge on the 3 main techniques for automated serial imaging based on SEM (ASI-SEM): microtome-based serial block-face SEM, focused ion beam SEM and array tomography. At the issue of the course, the participants will be able to assess the potentials of each technique and which fit best…
Find out more »MIAP Ethics in Image Analysis Workshop
Scientific fraud has become a serious concern in life sciences, as in all segments of science. Microscopic image presentation is a serious and, unfortunately, common source of fraud in life science publications. As image editing is commonplace during data analysis and presentation, even unwanted changes quickly lead to irregular and often illegal figures. So, image editing and presentation are not always easy. This workshop will provide all scientists with the proper tools and knowledge to avoid common pitfalls, to spot…
Find out more »November 2019
Superresolution in Light Microscopy
About the Practical Course The major objective of the course is to introduce available superresolution fluorescence microscopy methods to potential users: PhD students and Postdocs with research interests in biology. The course is focused on three super-resolution techniques in fluorescence light microscopy: Structured illumination microscopy (SIM) Stimulated emission depletion microscopy (STED) Stochastic optical reconstruction microscopy (STORM) The course covers theoretical background of all presented super-resolution techniques. Each practical session is designed like a demo and continuous to a hands-on. The…
Find out more »January 2020
BIOPHOTONICS COURSE
Aim It is the goal of the course to teach the students general principles of fluorescence and light microscopy as well as teach principles behind advanced fluorescence and imaging techniques as well as a short introduction to image processing. There will be practical demonstrations and hands on exercises on all topics. The course is a five day intensive course taking place within one week. In relation to the competence profile of the degree it is the explicit focus of the…
Find out more »Deep Learning for Image Analysis
Course Overview This is a blended learning course on Deep Learning for Image Analysis, consisting of 3 online sessions with associated hands-on exercises and a week-long onsite session at EMBL Heidelberg. Audience This course is aimed at both core facility staff and research scientists. Prerequisites for this workshop are programming skills in Python and ideally Tensorflow, Keras or Pytorch as well as basic knowledge of machine learning theory. Participants should provide an outline of one image analysis task they would…
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