## 8.4 Roberts’s Golgi

In this section, we will view an image as a source of quantitative data. We will use our knowledge of arrays to extract scientific information from the images by using Python to visualise the dynamics of a cell. Specifically, we will quantify the amount of cargo protein (stained by GPF-TNF, i.e. GREEN) in the Golgi area (stained by mCherry- ManII, i.e. RED) as a function of time.

We will also start using the package scikit-learn because it offers more specialised image processing functionality.