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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!

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Eyewire I has ~6k cells proofread, while Eyewire II contains nearly 100k retinal neurons!

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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.

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It’s also great to have multiple datasets for possible future comparison between multiple animal models!

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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.

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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.

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This type of data was not available in Eyewire I. More data means more discoveries!

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Eyewire vs Eyewire II

Eyewire

  • Cube based
  • Consensus based
  • Multiple checks
  • Built-in log and database

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Eyewire II

  • Own your own cell
  • No consensus
  • Checks are project dependent, for advanced users you are the first and last stop
  • Spreadsheet-based information sharing - may build more tools in the future!

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Eyewire

Eyewire II

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Eyewire

Zfish

Eyewire II

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Scientific Value

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towards a complete cell type catalog of the mouse retina

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  • each dot is a cell

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  • cells can be grouped by morphology

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  • many new morphologies which have not been described before

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deciphering synaptic connectivity patterns!

linking connectivity and morphology to function!

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Lab Partners

  • Berens Lab, Universität Tübingen, Germany
  • David Berson, Brown University, RI, USA
  • Briggman Lab, MPI for Neurobiology of Behavior, Germany
  • Demb Lab, Yale University, CT, USA
  • Euler Lab, Universität Tübingen, Germany
  • Feller Lab, University of California at Berkeley, CA, USA
  • Franke Lab, Universität Tübingen, Germany
  • Gollisch Lab, Universität Göttingen, Germany
  • Hattar Lab, NIH / NIMH
  • Im Lab, Korea Institute of Science and Technology, Republic of Korea
  • Kerschensteiner Lab, Washington University
  • Marre Lab, Institute de la Vision, France
  • Popratiloff Lab, George Washington University, D. C., USA
  • Puthussery Lab, UC Berkeley
  • Renna Lab, University of Akron, OH, USA
  • Samuel Lab, Baylor University, TX, USA
  • Schwartz Lab, Northwestern University, IL, USA
  • Seung Lab, Princeton University, NJ, USA
  • Shekar Lab, UC Berkeley
  • Singer Lab, University of Maryland, MD, USA
  • Sivyer and Wright Lab, Oregon Health and Science University, OR, USA and University of Sydney, Australia
  • Taylor Lab, UC Berkeley
  • Tsukamoto Lab, Hyogo Medical University, Japan
  • Tykocki Lab, Michigan State University, MI, USA
  • Vlasits Lab, University of Illinois at Chicago, IL, USA
  • Völgyi Lab, University of Pécs, Hungary
  • Wei Lab, University of Chicago, IL, USA
  • Williams Lab, Washington University in St. Louis, MO, USA
  • Yonehara Lab, National Institute of Genetics, Japan
  • Zeck Lab, Johns Hopkins University, MD, USA
  • Zhou Lab, Yale University, CT, USA

accessible to researchers from all over the world !

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Primary Cilia Hunting

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https://spelunker.cave-explorer.org/#!middleauth+https://global.daf-apis.com/nglstate/api/v1/6572741225349120

Primary Cilia

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  • receive and process environmental signals
  • serve as “antennas” that cells use to sense the chemistry of their environment
  • Much still unknown!

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Next steps!

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  • Fill out this form if you haven’t yet to gain access to the dataset
  • We will grant access to all who have already requested following this session
  • Read through the Cilia Guidebook
  • Take our Cilia Practice Test when you are ready!

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The Future of Citizen Neuroscience!

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As our community grows we hope to add more fun features to Eyewire II like a leaderboard, chat, and badges!

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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!

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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

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Thank you!

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We love our amazing citsci community, thanks for your amazing contributions and dedication to mapping the brain. As always..

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FOR SCIENCE!

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