Academic Journal
Dataset on stroke infarct volume in rodents: A comparison of MRI and histological methods
| Title: | Dataset on stroke infarct volume in rodents: A comparison of MRI and histological methods |
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| Authors: | Weber, Rebecca Z, Bernardoni, Davide, Rentsch, Nora H, Buil, Beatriz Achón, Halliday, Stefanie, Augath, Mark-Aurel, Razansky, Daniel, Tackenberg, Christian, Rust, Ruslan |
| Source: | Weber, R. Z., Bernardoni, D., Rentsch, N. H., Buil, B. A., Halliday, S., Augath, M.-A., Razansky, D., Tackenberg, C., & Rust, R. (2024). Dataset on stroke infarct volume in rodents: A comparison of MRI and histological methods. Data in Brief, 53, 110188. https://doi.org/10.1016/j.dib.2024.110188 |
| Publisher Information: | Elsevier |
| Publication Year: | 2024 |
| Collection: | University of Zurich (UZH): ZORA (Zurich Open Repository and Archive |
| Subject Terms: | 570 Life sciences, biology, 610 Medicine & health |
| Description: | This dataset offers images of mouse brains impacted by photothrombotic stroke in the sensorimotor cortex published by Weber et al. NeuroImage (2024). Data is gathered using two primary techniques: (1) whole-brain ex-vivo magnetic resonance imaging (MRI) and (2) 40 µm thick coronal histological sections that undergo immunofluorescence staining with NeuroTrace. Infarct areas and volumes are assessed through MRI at two distinct time frames-three days (acute) and 28 days (chronic) following photothrombotic stroke induction. Subsequently, the brains are sectioned into 40 µm thick coronal slices, stained with NeuroTrace, and imaged as whole sections. The dataset holds considerable value for reuse, particularly for researchers focused on stroke volume estimation methods as well as those interested in comparing the efficacy of MRI and histological techniques. |
| Document Type: | article in journal/newspaper |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 2352-3409 |
| Relation: | info:pmid/38406243; urn:issn:2352-3409 |
| DOI: | 10.1016/j.dib.2024.110188 |
| Availability: | https://www.zora.uzh.ch/handle/20.500.14742/231608 https://hdl.handle.net/20.500.14742/231608 https://doi.org/10.1016/j.dib.2024.110188 |
| Rights: | info:eu-repo/semantics/openAccess ; Creative Commons: Attribution 4.0 International (CC BY 4.0) ; http://creativecommons.org/licenses/by/4.0/ |
| Accession Number: | edsbas.996AE44E |
| Database: | BASE |
| ISSN: | 23523409 |
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| DOI: | 10.1016/j.dib.2024.110188 |