Dataset Size
Eyewire II is a much larger dataset than Eyewire’s e2198. The original Eyewire measured in at about 350x300 microns, while Eyewire II is about 1000x1000 microns!
Eyewire I has ~6k cells proofread, while Eyewire II contains nearly 100k retinal neurons!
Eyewire II allows us to study wide field cells that had only partial extension in Eyewire I, and has many more instances of smaller cell types.
It’s also great to have multiple datasets for possible future comparison between multiple animal models!
Retina Layers
Our dataset spans the INL (Inner Nuclear Layer) to the GCL (Ganglion Cell Layer) of the retina, with partial movement into the OPL (Outer Plexiform Layer). This is similar to Eyewire I.
Functional Data
In certain areas of the Eyewire II dataset, we also have functional data available. In these areas, visual responses to stimuli were recorded via calcium imaging, prior to the EM imaging of the dataset.
This type of data was not available in Eyewire I. More data means more discoveries!
Eyewire vs Eyewire II
Eyewire
Eyewire II
Eyewire
Eyewire II
Eyewire
Zfish
Eyewire II
Scientific Value
towards a complete cell type catalog of the mouse retina
deciphering synaptic connectivity patterns!
linking connectivity and morphology to function!
Lab Partners
accessible to researchers from all over the world !
Primary Cilia Hunting
https://spelunker.cave-explorer.org/#!middleauth+https://global.daf-apis.com/nglstate/api/v1/6572741225349120
Primary Cilia
Next steps!
The Future of Citizen Neuroscience!
As our community grows we hope to add more fun features to Eyewire II like a leaderboard, chat, and badges!
Eyewire II has lots of cells, and we anticipate many neuroadventures for our community. We already have a proofreading project for advanced citsci users -- once your skills grow you are welcome to try proofreading as well!
In the future we plan to have a ”hub” for our citsci community where you can explore and help reconstruct datasets from a variety of brain areas and animal models
Thank you!
We love our amazing citsci community, thanks for your amazing contributions and dedication to mapping the brain. As always..
FOR SCIENCE!