This guide will help you use the VFBConnect library to interact with Virtual Fly Brain (VFB) data, specifically focusing on working with neuron images and their representations. The examples provided cover retrieving neuron data, accessing different types of data representations (skeleton, mesh, volume), and visualizing this data.
Tutorials from the Virtual Fly Brain “Hacking the connectome” workshop that was run in collaboration with the Drosophila Connectomics Group based at the Dept of Zoology, University of Cambridge.
This guide will show you how to use VFBconnect to download images from the Virtual Fly Brain (VFB) based on a dataset.
The VFB connect API provides programmatic access to the databases underlying VFB
How to programatically search for a term.
In this notebook we will focus on neuron skeletons - a.k.a. TreeNeurons
Explore how to plot neurons in 2d using and in 3d
pymaid (python-catmaid) lets you interface with a CATMAID server such as those provided by VFB to host published data from the FAFB dataset.
NBLAST is a method to quantify morphological similarity.
The Janelia hemibrain dataset is accessible via neuprint. To programmatically interface with neuprint, we show how to use neuprint-python.
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