Automated 3D cell detection in very large images
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Updated
Jul 19, 2024 - Python
Automated 3D cell detection in very large images
Segmentation of anatomical structures in a common coordinate space
anatomical fiducials protocol adapted for macaques
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Serial-section automated anatomy extension for ScanImage
A repository for co-ordinating work on ontologies for the Brain Data Standards Project
Automated 3D brain registration with support for multiple species and atlases.
Rendering anatomical heatmaps with brainrender and matplotlib
Python library for analysis of neuroanatomical data.
Support Acccess to the Female Adult Nerve Cord (FANC) Dataset
Neuron geometry library for swc format.
Material I found most helpful learning neuro-related topics.
Validator for the anatomical fiducial placement protocol
Customizable system for displaying and inspecting brain structures, connections, and subsystems in VR
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
Tractography learning
Code for NeuroLang's GitHub Pages website
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