8.4 Roberts’s Golgi

Time lapse images of how the cargo protein (green) moves into and out of the golgi area (red. There are 17 frames. Images used with permission from [Dr. Robert Lieu](mailto:dbslzz@nus.edu.sg) (Copyright Dr. Robert Lieu)

Figure 8.2: Time lapse images of how the cargo protein (green) moves into and out of the golgi area (red. There are 17 frames. Images used with permission from Dr. Robert Lieu (Copyright Dr. Robert Lieu)

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.