Dataset on stroke infarct volume in rodents: A comparison of MRI and histological methods
Rebecca Z. Weber,
Davide Bernardoni,
Nora H. Rentsch,
Beatriz Achón Buil,
Stefanie Halliday,
Mark-Aurel Augath,
Daniel Razansky,
Christian Tackenberg,
Ruslan Rust
Affiliations
Rebecca Z. Weber
Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
Davide Bernardoni
Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
Nora H. Rentsch
Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
Beatriz Achón Buil
Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
Stefanie Halliday
Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland
Mark-Aurel Augath
Faculty of Medicine, Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, University of Zurich, Zurich 8052, Switzerland; Department of Information Technology and Electrical Engineering, Institute for Biomedical Engineering, ETH Zurich, Zurich 8093, Switzerland
Daniel Razansky
Faculty of Medicine, Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, University of Zurich, Zurich 8052, Switzerland; Department of Information Technology and Electrical Engineering, Institute for Biomedical Engineering, ETH Zurich, Zurich 8093, Switzerland
Christian Tackenberg
Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
Ruslan Rust
Institute for Regenerative Medicine, University of Zurich, Schlieren 8952, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland; Department of Physiology and Neuroscience, University of Southern California, Los Angeles, CA 90089, United States; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, 1501 San Pablo St., Los Angeles, CA 900893, United States; Corresponding author at: Department of Physiology and Neuroscience, University of Southern California, Los Angeles, CA 90089, United States; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, 1501 San Pablo St., Los Angeles, CA 900893, United States.
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.