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January 2020
PhD course, Advanced In-vivo Optical imaging techniques, 2020
Aim: To introduce advanced optical techniques for in vivo imaging and how these can be applied in research projects. Learning outcomes: The students should be able to understand the basis of different techniques, to learn their pitfalls, disadvantages and advantages, and to plan research projects that include these techniques Dates and times: 14, 15, 16 and 23. January. 6. of February (Note the interval between day 4 and 5, of which the first 10 days are available for group work…
Find out more »Zurich Winter School – Practical Course in Advanced Microscopy
This advanced microscopy course is intended for PhD students and post-graduates with prior experience in microscopy. The goal of the course is to teach and train fundamental knowledge and skills in a specific microscopic technique. Students will be able to apply this technique to their own present and future projects. Practical work consists of six different modules covering a specific topic each (please see description below). Each practical module lasts throughout the whole course. Students will participate in one module…
Find out more »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…
Find out more »February 2020
4th NEUBIAS Conference
4th NEUBIAS Conference Bordeaux France, February 29 - March 6, 2020 Registration & abstracts now open!!! It's our pleasure to communicate that the registration for the 4th NEUBIAS conference in Bordeaux, Feb 29- Mar 6 February 2020, is now open. NEUBIAS brings together life-scientists, bioimage analysts, microscopists, and image analysis developers from Europe and international partner countries in Australia, Singapore, Brazil and the USA (www.neubias.org). NEUBIAS is a forum to exchange the newest findings, applications, and cutting-edge developments in Bioimage Analysis, machine…
Find out more »Training Schools at 4th NEUBIAS Conference
Bordeaux France, February 29 - March 3, 2020 Applications for Training Schools TS14 and TS5 are now open!!! NEUBIAS, the Network of European BioImage Analysts (www.neubias.org), is delighted to announce two new Training Schools on BioImage Analysis: TS14 for Early Career Investigators (Life Scientists: PhD candidates, Postdocs, Staff, ...): This training school will cover the basics of image analysis using ImageJ/Fiji, as well as image analysis workflow automation using ImageJ macro programming. In addition, it will be taught how to…
Find out more »March 2020
PRINCIPLES AND APPLICATIONS OF FLUORESCENCE MICROSCOPY
The use of fluorescence microscopy (wide field, confocal, multiphoton, and now superresolution) in combination with genetically encoded fluorescence probes comprise a powerful set of scientific tools to study live cells. However, surprising little practical and theoretical training in such methods exists within standard curricula, particular at the early stage of training (Masters or Doctorate level). This course offers to cover basic optics principles necessary to understand the origin of microscope resolution and design. Participants will get hands-on experience implementing simple optical configurations…
Find out more »April 2020
Image Processing & Analysis: Advanced Imaging Center, Janelia Research Campus, holds course at Aarhus University.
Aim and Learning outcomes: The goal of this hands-on course is to survey the fundamentals of how image pixel data can be used to extract biologically meaningful information. Participants will install Fiji and will be given ample opportunity to work on actual images for truly hands-on learning experience and also learn to write macros to speed up analysis. Opportunity to discuss individual projects will also be available. Content: Lecture and Laboratory Topics include: Image Processing: Fundamentals of digital images, the…
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