ArticleScientific reports2020
A Robust Image Registration Interface for Large Volume Brain Atlas.
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 46 papers.
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Who cites it
46 citing papers in PubMed.
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- Three-color high-definition whole-brain imaging: simultaneous analysis of multiple anatomical structures with colocalized cytoarchitectural information.Biomedical optics express · 2026Article
- Long-range circuit of the mouse spinal trigeminal nucleus caudalis.The journal of headache and pain · 2026Article
- Glutamatergic pathway from deep layers of the insular cortex to the rostral central medial thalamic nucleus participates in neuropathic pain and anxiety-like behaviors in mice.The journal of headache and pain · 2026Article
- CONReg: Uncertainty-Aware Medical Image Registration Using Conformal Prediction.Journal of imaging informatics in medicine · 2026Article
- The ANTsX ecosystem for mapping the mouse brain.Nature communications · 2025Article
- Molecularly defined cellular atlas of the entire mouse brain with isotropic single-cell resolution.Nature communications · 2025Article
- A relaxation-diffusion MRI dataset of aging mouse brains at 9.4 Tesla.Scientific data · 2025Article
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- Parvalbumin Neurons in the Basal Forebrain Projecting to the Mammillary Nucleus Ameliorate Age-Related Cognitive Decline.International journal of molecular sciences · 2025Article
- Reconstruction of Single-Neuron Projectomes in Mice.Bio-protocol · 2025Article
- Modular strategies for spatial mapping of diverse cell type data of the mouse brain.Research square · 2025Article
- Dissection of the long-range circuit of the mouse intermediate retrosplenial cortex.Communications biology · 2025Article
- Vulnerability of long-range inputome of basal forebrain in normal aging mice.Frontiers in aging neuroscience · 2025Article
- Automated identification of protein expression intensity and classification of protein cellular locations in mouse brain regions from immunofluorescence images.Medical & biological engineering & computing · 2024Article
- CAPTURE: A Clustered Adaptive Patchwork Technique for Unified Registration Enhancement in Biological Imaging.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2024Article
- aXonica: A support package for MRI based Neuroimaging.Biotechnology notes (Amsterdam, Netherlands) · 2024Article
- From Individual to Population: Circuit Organization of Pyramidal Tract and Intratelencephalic Neurons in Mouse Sensorimotor Cortex.Research (Washington, D.C.) · 2024Article
- D-LMBmap: a fully automated deep-learning pipeline for whole-brain profiling of neural circuitry.Nature methods · 2023Article
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10 authors.
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Abstract
Accurately mapping brain structures in three-dimensions is critical for an in-depth understanding of brain functions. Using the brain atlas as a hub, mapping detected datasets into a standard brain space enables efficient use of various datasets. However, because of the heterogeneous and nonuniform brain structure characteristics at the cellular level introduced by recently developed high-resolution whole-brain microscopy techniques, it is difficult to apply a single standard to robust registration of various large-volume datasets. In this study, we propose a robust Brain Spatial Mapping Interface (BrainsMapi) to address the registration of large-volume datasets by introducing extracted anatomically invariant regional features and a large-volume data transformation method. By performing validation on model data and biological images, BrainsMapi achieves accurate registration on intramodal, individual, and multimodality datasets and can also complete the registration of large-volume datasets (approximately 20 TB) within 1 day. In addition, it can register and integrate unregistered vectorized datasets into a common brain space. BrainsMapi will facilitate the comparison, reuse and integration of a variety of brain datasets.
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