Whenever you’re testing a new analysis protocol or playing around with some software, it’s always handy to have some sample data to mess with. But what if you don’t yet have the data, or what if you need more, or need more specific data? In this post, we’re going to delve into the world of synthetic data by making a sample tracking data set.
Replication is key to the Scientific method. This is especially true when dealing with imaging, when a single field (at any magnification) is rarely representative of the entire experiment, let alone the underlying phenomenon as a whole. The easy solution to this is to take many fields of many samples, but visualising and manipulating a whole dataset can be a time consuming endeavour. In this post, we’re going to cover some of the tricks for working with a dataset in Fiji and take the first steps into the big wide world of scripting.