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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://www.hms.harvard.edu/NEPRC/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. A center that focuses on performing bio-medical research on nonhuman primates to aid in human health research. The center also focuses on training young scientists for professional careers in bio-medical research and primate biology. One of the New England Primate Research School's main accomplishments was the creation of an animal model for AIDS that first demonstrated that vaccine protection could be possible. Recent research has led to the development of novel agents for brain imaging that will aid in the diagnosis and treatment of Parkinson's disease.
Proper citation: New England Primate Research School (RRID:SCR_008290) Copy
Web application to discover resources available at participating networked universities. This distributed platform for creating and sharing semantically rich data is built around semantic web technologies and follows linked open data principles.
Proper citation: Eagle I (RRID:SCR_013153) Copy
http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Atlases
Probabilistic atlases covering 48 cortical and 21 subcortical structural areas, derived from structural data and segmentations kindly provided by the Harvard Center for Morphometric Analysis. T1-weighted images of 21 healthy male and 16 healthy female subjects (ages 18-50) were individually segmented by the CMA using semi-automated tools developed in-house. The T1-weighted images were affine-registered to MNI152 space using FLIRT (FSL), and the transforms then applied to the individual labels. Finally, these were combined across subjects to form population probability maps for each label. Segmentations used to create these atlases were provided by: David Kennedy and Christian Haselgrove, Centre for Morphometric Analysis, Harvard; Bruce Fischl, the Martinos Center for Biomedical Imaging, MGH; Janis Breeze and Jean Frazier from the Child and Adolescent Neuropsychiatric Research Program, Cambridge Health Alliance; Larry Seidman and Jill Goldstein from the Department of Psychiatry of Harvard Medical School.
Proper citation: Harvard - Oxford Cortical Structural Atlas (RRID:SCR_001476) Copy
A free, open source software package for visualization and image analysis including registration, segmentation, and quantification of medical image data. Slicer provides a graphical user interface to a powerful set of tools so they can be used by end-user clinicians and researchers alike. 3D Slicer is natively designed to be available on multiple platforms, including Windows, Linux and Mac Os X. Slicer is based on VTK (http://public.kitware.com/vtk) and has a modular architecture for easy addition of new functionality. It uses an XML-based file format called MRML - Medical Reality Markup Language which can be used as an interchange format among medical imaging applications. Slicer is primarily written in C++ and Tcl.
Proper citation: 3D Slicer (RRID:SCR_005619) Copy
http://surfer.nmr.mgh.harvard.edu/
Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.
Proper citation: FreeSurfer (RRID:SCR_001847) Copy
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