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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Data from: Unbiased analysis of cellular plasticity in the dorsal root ganglion after peripheral nerve injury

Authors: Annemarie Schulte; Hannnah Lohner; Johannes Degenbeck; Dennis Segebarth; Heike Rittner; Robert Blum; Annemarie Aue;

Data from: Unbiased analysis of cellular plasticity in the dorsal root ganglion after peripheral nerve injury

Abstract

Sectional images of rat dorsal root ganglia (DRG) 7 or 14 days after SNI or sham injury. Sections were immunostained for neurofilament (NF), glial fibrillary acidic protein (GFAP), and glutamine synthetase (GS) and imaged using large-field (tile) microscopy. Images were segmented with a deep learning method (deepflash2). Provided are: - 2-13 images per DRG from L4 or L5, ipsilateral (IL) or contralateral (CL) - corresponding segmentation masks for NF, GS, and GFAP - deep learning models for oval-shaped NF-positive structures and ring-like GS/GFAP-positive structures - annotated data that the deep learning models were trained on

Related Organizations
Keywords

Deep Learning, Dorsal root ganglia, Image Segmentation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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