Syllabus
In this course, students will first learn the theoretical and practical aspects of a wide range of experimental microscopic techniques and the whole microscopic process - from microscope preparation, microscope and software integration, sample preparation, imaging and subsequent image analysis. In the second part, basic and moderately advanced image analysis techniques will be presented and students will solve real biological problems using open source software such as Fiji.
As a result, students will gain a comprehensive picture of microscopic image analysis, and perhaps some will be enthusiastic about this promising area so much that they decide to do so in their scientific career.
Annotation
Most of the primary data in biology comes from microscopic images. To obtain meaningful information from microscopic data, it is necessary to use computational tools both to eliminate noise and subjective errors, and because of the amount and availability of microscopic data, which does not allow manual inspection and requires the creation of automatic data analysis processes.