Evidence map›Paper›PMID 37546753›Full record

ArticlebioRxiv : the preprint server for biology2023

CAVE: Connectome Annotation Versioning Engine.

Sven Dorkenwald, Casey M Schneider-Mizell, Derrick Brittain, Akhilesh Halageri, Chris Jordan, Nico Kemnitz, Manual A Castro, William Silversmith, Jeremy Maitin-Shephard, Jakob Troidl and 32 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

42 authors.

Sven DorkenwaldPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Casey M Schneider-MizellAllen Institute for Brain Science, Seattle, USA.
Derrick BrittainAllen Institute for Brain Science, Seattle, USA.
Akhilesh HalageriPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Chris JordanPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Nico KemnitzPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Manual A CastroPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
William SilversmithPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Jeremy Maitin-ShephardGoogle Research, Mountain View, USA.
Jakob TroidlSchool of Engineering and Applied Sciences, Harvard University, Boston, USA.
Hanspeter PfisterSchool of Engineering and Applied Sciences, Harvard University, Boston, USA.
Valentin GilletLund University, Department of Biology, Lund Vision Group, Lund, Sweden.
Daniel XenesResearch & Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, United States.
J Alexander BaePrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Agnes L BodorAllen Institute for Brain Science, Seattle, USA.
JoAnn BuchananAllen Institute for Brain Science, Seattle, USA.
Daniel J BumbargerAllen Institute for Brain Science, Seattle, USA.
Leila ElabbadyAllen Institute for Brain Science, Seattle, USA.
Zhen JiaPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Daniel KapnerAllen Institute for Brain Science, Seattle, USA.
Sam KinnAllen Institute for Brain Science, Seattle, USA.
Kisuk LeePrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Kai LiComputer Science Department, Princeton University, Princeton, USA.
Ran LuPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Thomas MacrinaPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Gayathri MahalingamAllen Institute for Brain Science, Seattle, USA.
Eric MitchellPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Shanka Subhra MondalPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Shang MuPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Barak NehoranPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Sergiy PopovychPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Marc TakenoAllen Institute for Brain Science, Seattle, USA.
Russel TorresAllen Institute for Brain Science, Seattle, USA.
Nicholas L TurnerPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
William WongPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Jingpeng WuPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Wenjing YinAllen Institute for Brain Science, Seattle, USA.
Szi-Chieh YuPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
R Clay ReidAllen Institute for Brain Science, Seattle, USA.
Nuno Maçarico da CostaAllen Institute for Brain Science, Seattle, USA.
H Sebastian SeungPrinceton Neuroscience Institute, Princeton University, Princeton, USA.
Forrest CollmanAllen Institute for Brain Science, Seattle, USA.

Funding

Structure and Function of a Cubic Millimeter of Cortex: Crowdsourcing for Proofreading and DiscoveryRF1MH123400 · NIMH · PRINCETON UNIVERSITY · PI SEUNG, HYUNJUNE SEBASTIAN · 2020 to 2020
$6.4M
Dissemination of FlyWire, A Whole-Brain Connectomics ResourceU24NS126935 · NINDS · PRINCETON UNIVERSITY · PI Mala Murthy · 2022 to 2026
$5.6M
Accelerating connectomic proofreading for larger brains and multiple individualsRF1MH129268 · NIMH · PRINCETON UNIVERSITY · PI MURTHY, MALA · 2022 to 2022
$2.1M
From synapses to genes through morphology: an integrated characterization of cell types based on connectomics and transcriptomics dataRF1MH125932 · NIMH · ALLEN INSTITUTE · PI COLLMAN, FORREST CHRISTIE, MACARICO DA COSTA, NUNO · 2021 to 2021
$1.4M
NIMH NIH HHS RF1 MH123400NIMH NIH HHS RF1 MH125932NIMH NIH HHS RF1 MH129268NINDS NIH HHS U24 NS126935
6 · The paper itself

Abstract

Advances in Electron Microscopy, image segmentation and computational infrastructure have given rise to large-scale and richly annotated connectomic datasets which are increasingly shared across communities. To enable collaboration, users need to be able to concurrently create new annotations and correct errors in the automated segmentation by proofreading. In large datasets, every proofreading edit relabels cell identities of millions of voxels and thousands of annotations like synapses. For analysis, users require immediate and reproducible access to this constantly changing and expanding data landscape. Here, we present the Connectome Annotation Versioning Engine (CAVE), a computational infrastructure for immediate and reproducible connectome analysis in up-to petascale datasets (~1mm

Identifiers

PMID37546753
PMCPMC10402030

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.