Microscopic images contain much more information than normally is retrieved. Especially time-lapse image data contains a wealth of information. Extracting this information by visual inspection and manual measurement is not only cumbersome but also subjective. Automation of image analysis tasks by using a computer and the right software tools allows for higher efficiency, accuracy, objectivity, reproducibility, and completeness.
Date: Jan 26-27, 2015
Target audience: The course is intended for PhD students and Postdocs who would like to deepen their understanding of image analysis methods and learn how to use them.
Program: During this course, the participant will 1) obtain a deeper theoretical understanding of image analysis methods, and 2) obtain practical experience with image analysis software tools (in particular ImageJ) and learn how to use them intelligently, on their own computer.
Course website: http://www.molmed.nl/courses/CourseDetail.asp?courseID=1312
