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Found 5 papers, 1 papers with code
Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding
Understanding the cortical organization of the human brain requires interpretable descriptors for distinct structural and functional imaging data.
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
To this end, we propose the application of a fully data-driven approach to characterize nerve fiber architecture in 3D-PLI images using self-supervised representation learning.
GORDA: Graph-based ORientation Distribution Analysis of SLI scatterometry Patterns of Nerve Fibres
Scattered Light Imaging (SLI) is a novel approach for microscopically revealing the fibre architecture of unstained brain sections.
Scattered Light Imaging: Resolving the substructure of nerve fiber crossings in whole brain sections with micrometer resolution
We demonstrate in different brain samples (human optic tracts, vervet monkey brain, rat brain) that the 2D fiber directions can be reliably reconstructed for up to three crossing nerve fiber bundles in each image pixel with an in-plane resolution of up to 6. 5 $\mu$m.
Medical Physics Biological Physics Optics
Towards ultra-high resolution 3D reconstruction of a whole rat brain from 3D-PLI data
We introduce a new method for registration and 3D reconstruction of high- and ultra-high resolution (64 $\mu$m and 1. 3 $\mu$m pixel size) histological images of a Wistar rat brain acquired by 3D polarized light imaging (3D-PLI).
