In:
Frontiers in Neural Circuits, Frontiers Media SA, Vol. 16 ( 2022-11-25)
Abstract:
Three-dimensional electron microscopy images of brain tissue and their dense segmentations are now petascale and growing. These volumes require the mass production of dense segmentation-derived neuron skeletons, multi-resolution meshes, image hierarchies (for both modalities) for visualization and analysis, and tools to manage the large amount of data. However, open tools for large-scale meshing, skeletonization, and data management have been missing. Igneous is a Python-based distributed computing framework that enables economical meshing, skeletonization, image hierarchy creation, and data management using cloud or cluster computing that has been proven to scale horizontally. We sketch Igneous's computing framework, show how to use it, and characterize its performance and data storage.
Type of Medium:
Online Resource
ISSN:
1662-5110
DOI:
10.3389/fncir.2022.977700
DOI:
10.3389/fncir.2022.977700.s001
DOI:
10.3389/fncir.2022.977700.s002
DOI:
10.3389/fncir.2022.977700.s003
DOI:
10.3389/fncir.2022.977700.s004
DOI:
10.3389/fncir.2022.977700.s005
Language:
Unknown
Publisher:
Frontiers Media SA
Publication Date:
2022
detail.hit.zdb_id:
2452968-0
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