In:
PLOS Computational Biology, Public Library of Science (PLoS), Vol. 17, No. 5 ( 2021-5-28), p. e1009074-
Abstract:
Understanding the function of the nervous system necessitates mapping the spatial distributions of its constituent cells defined by function, anatomy or gene expression. Recently, developments in tissue preparation and microscopy allow cellular populations to be imaged throughout the entire rodent brain. However, mapping these neurons manually is prone to bias and is often impractically time consuming. Here we present an open-source algorithm for fully automated 3D detection of neuronal somata in mouse whole-brain microscopy images using standard desktop computer hardware. We demonstrate the applicability and power of our approach by mapping the brain-wide locations of large populations of cells labeled with cytoplasmic fluorescent proteins expressed via retrograde trans-synaptic viral infection.
Type of Medium:
Online Resource
ISSN:
1553-7358
DOI:
10.1371/journal.pcbi.1009074
DOI:
10.1371/journal.pcbi.1009074.g001
DOI:
10.1371/journal.pcbi.1009074.g002
DOI:
10.1371/journal.pcbi.1009074.g003
DOI:
10.1371/journal.pcbi.1009074.g004
DOI:
10.1371/journal.pcbi.1009074.t001
DOI:
10.1371/journal.pcbi.1009074.t002
DOI:
10.1371/journal.pcbi.1009074.t003
DOI:
10.1371/journal.pcbi.1009074.t004
DOI:
10.1371/journal.pcbi.1009074.t005
DOI:
10.1371/journal.pcbi.1009074.s001
DOI:
10.1371/journal.pcbi.1009074.s002
DOI:
10.1371/journal.pcbi.1009074.s003
DOI:
10.1371/journal.pcbi.1009074.s004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2193340-6
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