Concepts

The ideas the rest of the documentation assumes. Each page here explains one thing that shapes how VFB stores or presents data, and that is worth understanding before interpreting a result: how neurons are classified into cell types, how images from different studies are brought into a common space, how morphological similarity is scored, and how to read a count or a confidence value.

Several pages here describe the laboratory techniques the data was produced by — binary expression systems, split drivers, stochastic labelling, registration and EM reconstruction. For how those techniques came about, and for the specimens the connectomes were made from, see which fly is this?