ArticleScientific reports2020
Scalable method for micro-CT analysis enables large scale quantitative characterization of brain lesions and implants.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- The choice-wide behavioral association study: data-driven identification of interpretable behavioral components.Nature communications · 2026Article
- Patient-specific mutation of Dync1h1 in mice causes brain and behavioral deficits.Neurobiology of disease · 2024Article
- Unveiling vertebrate development dynamics in frog Xenopus laevis using micro-CT imaging.GigaScience · 2024Article
- High-resolution micro-CT for 3D infarct characterization and segmentation in mice stroke models.Scientific reports · 2022Article
- Functional and multiscale 3D structural investigation of brain tissue through correlative in vivo physiology, synchrotron microtomography and volume electron microscopy.Nature communications · 2022Article
- Three-Dimensional X-ray Imaging of β-Galactosidase Reporter Activity by Micro-CT: Implication for Quantitative Analysis of Gene Expression.Brain sciences · 2021Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
Anatomic evaluation is an important aspect of many studies in neuroscience; however, it often lacks information about the three-dimensional structure of the brain. Micro-CT imaging provides an excellent, nondestructive, method for the evaluation of brain structure, but current applications to neurophysiological or lesion studies require removal of the skull as well as hazardous chemicals, dehydration, or embedding, limiting their scalability and utility. Here we present a protocol using eosin in combination with bone decalcification to enhance contrast in the tissue and then employ monochromatic and propagation phase-contrast micro-CT imaging to enable the imaging of brain structure with the preservation of the surrounding skull. Instead of relying on descriptive, time-consuming, or subjective methods, we develop simple quantitative analyses to map the locations of recording electrodes and to characterize the presence and extent of hippocampal brain lesions.
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Registered trials
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