ArticleScientific data2020
A three-dimensional thalamocortical dataset for characterizing brain heterogeneity.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Three-dimensional high-content imaging of unstained soft tissue with subcellular resolution using a laboratory-based X-ray microscope.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Regional cytoarchitecture of the adult and developing mouse enteric nervous system.Current biology : CB · 2022Article
- MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction.Advances in neural information processing systems · 2022Article
- Bayesian Optimization for Modular Black-Box Systems with Switching Costs.Proceedings of machine learning research · 2021Article
- DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries.Scientific reports · 2021Article
- Brain Microenvironment Heterogeneity: Potential Value for Brain Tumors.Frontiers in oncology · 2021Article
- Toward a scalable framework for reproducible processing of volumetric, nanoscale neuroimaging datasets.GigaScience · 2020Article
- A three-dimensional thalamocortical dataset for characterizing brain heterogeneity.Scientific data · 2020Article
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Authors and funding
15 authors.
Funding
Abstract
Neural microarchitecture is heterogeneous, varying both across and within brain regions. The consistent identification of regions of interest is one of the most critical aspects in examining neurocircuitry, as these structures serve as the vital landmarks with which to map brain pathways. Access to continuous, three-dimensional volumes that span multiple brain areas not only provides richer context for identifying such landmarks, but also enables a deeper probing of the microstructures within. Here, we describe a three-dimensional X-ray microtomography imaging dataset of a well-known and validated thalamocortical sample, encompassing a range of cortical and subcortical structures from the mouse brain . In doing so, we provide the field with access to a micron-scale anatomical imaging dataset ideal for studying heterogeneity of neural structure.
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