Many scientific projects require the analysis of large numbers of images. At some point, it becomes more efficient to develop automated methods instead of performing analyses in a manual way. This also enhances the standardization and reproducibility of your analysis methods.
In this course, we will discuss the basics of image analysis, feature based methods and deep learning based approaches. We will also have hands-on sessions and try out a couple of potent tools available to us.
-Scientific graphical design
One key aspect of scientific publication is understanding how to clearly and accurately represent your data. Each figure should convey one key message without misleading the reader. Therefore each aspect of a figure must be optimized to effectively communicate that message. For successful implementation, understanding and acknowledging key design elements of figures are crucial. Here we discuss the contribution of several key elements in figure design
Publication writing, an art in itself, how does one deliver the right message? Where to start? What makes a good publication? All daunting questions, especially when one writes their first publication. To achieve the optimal support to our students, we aim to offer such a course at the time where a student is ready to start writing his or her (first) publication. As all doctoral (PhD) projects move at their own pace, different students are ready to write at different times in their time as a doctoral student. Because of this we have opted to work together with Iain Patten who provides open courses that allow students to participate when they are ready.