Academic Journal

Dataset on stroke infarct volume in rodents: A comparison of MRI and histological methods

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Dataset on stroke infarct volume in rodents: A comparison of MRI and histological methods
Συγγραφείς: Weber, Rebecca Z., Bernardoni, Davide, id_orcid:0 000-0003-0673-2803, Rentsch, Nora H., Buil, Beatriz Achón, Halliday, Stefanie, Augath, Mark-Aurel, Razansky, Daniel, Tackenberg, Christian, Rust, Ruslan
Πηγή: Data in Brief, 53
Στοιχεία εκδότη: Elsevier
Έτος έκδοσης: 2024
Συλλογή: ETH Zürich Research Collection
Θεματικοί όροι: Stroke volume, Ischemia, Preclinical stroke research, Stroke outcome, MRI, Histology
Περιγραφή: 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. ; ISSN:2352-3409
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/application/pdf
Γλώσσα: English
Relation: info:eu-repo/semantics/altIdentifier/wos/001202501400001; https://hdl.handle.net/20.500.11850/669627
DOI: 10.3929/ethz-b-000669627
Διαθεσιμότητα: https://hdl.handle.net/20.500.11850/669627
https://doi.org/10.3929/ethz-b-000669627
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/ ; Creative Commons Attribution 4.0 International
Αριθμός Καταχώρησης: edsbas.17E505D4
Βάση Δεδομένων: BASE