Published April 26, 2022
| Version v2
Dataset
Open
Data from: Unbiased analysis of cellular plasticity in the dorsal root ganglion after peripheral nerve injury
Authors/Creators
- 1. Department of Neurology, University Hospital of Würzburg, 97080 Würzburg, Germany
- 2. Department of Anesthesiology, Intensive Care, Emergency Medicine and Pain Therapy, University Hospital of Würzburg, 97074 Würzburg, Germany
- 3. Institute for Clinical Neurobiology, University Hospital of Würzburg, 97080 Würzburg, Germany
Description
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
Files
GS+GFAP model.zip
Files
(18.2 GB)
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