(Immuno-)histological and magnetic resonance imaging (MRI) research both provide information on the functional neuroanatomy of the human brain. Microscopy techniques provide an unmatched level of anatomical detail but are usually limited by low numbers of observations. MRI research does not achieve the same level of detail but provides us with insight in interindividual variation through...
Advances in microscopic imaging and high-performance computing allow analyzing the complex cellular structure of the human brain in great detail. This progress has greatly aided in brain mapping and cell segmentation, and the development of automated analysis methods. However, histological image data can contain data gaps due to inevitable processing artifacts, which, despite careful...
p-HCP (Prenatal Human Connectome Patterns) is a high-resolution multimodal MRI dataset of human fetal brain development spanning the second half of gestation. Acquired ex vivo at ultra-high field strength (11.7 T), this dataset includes whole-hemisphere images at 100–200 μm isotropic resolution: anatomical scans, quantitative relaxometry maps, and high-angular-resolution diffusion imaging...
Microscopic analysis of cytoarchitecture in the human cerebral cortex is essential for understanding the anatomical basis of brain function. We present CytoNet, a foundation model that encodes high-resolution microscopic image patches into expressive feature representations suitable for whole-brain analysis. CytoNet leverages the spatial relationship between anatomical proximity and...
The demand for interoperable data processing in neuroscience underscores persistent challenges in cross-border data sharing, secure access to distributed resources, and the portability of tools across organizations. Neuroscience datasets are particularly sensitive due to privacy regulations and their size and diversity, which complicate collaborative research. These requirements motivate the...
