Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Measure Projection Toolbox Resource Report Resource Website 1+ mentions |
Measure Projection Toolbox (RRID:SCR_002429) | MPT | software resource, software toolkit | This toolbox is an EEGLAB plugin for performing Measure Projection Analysis. Measure Projection Analysis (MPA) is a novel probabilistic multi-subject inference method that overcomes EEG Independent Component (IC) clustering issues by abandoning the notion of distinct IC clusters. Instead, it searches voxel by voxel for brain regions having event-related IC process dynamics that exhibit statistically significant consistency across subjects and/or sessions as quantified by the values of various EEG measures. Local-mean EEG measure values are then assigned to all such locations based on a probabilistic model of IC localization error and inter-subject anatomical and functional differences. | reusable library, eeg, meg, electrocorticography, matlab, statistical operation, surrogate data analysis, visualization, measure projection analysis |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: EEGLAB has parent organization: Swartz Center for Computational Neuroscience |
Free, Available for download, Freely available | nlx_155809 | http://www.nitrc.org/projects/measure_project | SCR_002429 | Measure Projection Toolbox (MPT) | 2026-02-16 09:45:47 | 3 | ||||||
|
pydicom Resource Report Resource Website 50+ mentions |
pydicom (RRID:SCR_002573) | pydicom | software resource, software toolkit | Software Python package for working with DICOM files, made for inspecting and modifying DICOM data in an easy pythonic way. The modifications can be written again to a new file. As a pure python package, it should run anywhere python runs without any other requirements. | reusable library, console (text based), dicom, magnetic resonance, os independent, python |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian |
Free, Available for download, Freely available | nlx_155976 | http://www.nitrc.org/projects/pydicom https://sources.debian.org/src/python3-pydicom/ |
http://pydicom.googlecode.com | SCR_002573 | 2026-02-16 09:45:46 | 90 | ||||||
|
Generalized PPI Toolbox Resource Report Resource Website 50+ mentions |
Generalized PPI Toolbox (RRID:SCR_009489) | software resource, software toolkit | An automated toolbox for a generalized form of psychophysiological interactions for SPM and FSFAST. The automated toolbox can do the following: (a1) produce identical results to the current implementation in SPM (a2) use the current implementation of PPI in SPM but using the regional mean instead of the eigenvariate (a3) use a generalized form that allows a PPI for each task to be in the same model using either the regional mean of eigenvariate (b) create the model using the output of one of the (a) options and the first level design (c) estimate the model (/results directory) (d) compute the contrasts specified. | magnetic resonance, psychophysiological interaction, fmri, neuroimaging, automated toolbox, spm, fsfast | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Acknowledgement requested, Available for download | nlx_155636 | SCR_009489 | Generalized Psychophysiological Interaction Toolbox | 2026-02-16 09:47:25 | 51 | ||||||||
|
LEAD-DBS Resource Report Resource Website 100+ mentions |
LEAD-DBS (RRID:SCR_002915) | software resource, software toolkit | MATLAB toolbox for deep-brain-stimulation (DBS) electrode reconstructions and visualizations based on postoperative MRI and computed tomography (CT) imaging. The toolbox also facilitates visualization of localization results in 2D/3D, analysis of DBS-electrode placement's effects on clinical results, simulation of DBS stimulations, diffusion tensor imaging (DTI) based connectivity estimates, and fiber-tracking from the VAT to other brain regions (connectomic surgery). | matlab, deep brain stimulation, structural mri, reconstruction, dwi, dti, volume of activated tissue, modeling, subcortical atlas, depression, mri, computed tomography, atlas application, simulation, diffusion mr fiber tracking, three dimensional display, two dimensional display, surface rendering, volume rendering, workflow, neuroimaging, data repository |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: SPM is related to: 3D Slicer is related to: Atlasing of the basal ganglia is related to: German Research Foundation has parent organization: Charite - Universitatsmedizin Berlin; Berlin; Germany |
Parkinson's disease, Dystonia, Depressive Disorder | DFG KFO 247 | Free, Available for download, Freely available | SciRes_000188 | http://www.nitrc.org/projects/lead-dbs | SCR_002915 | Lead-DBS, LEAD DBS, Lead DBS | 2026-02-16 09:45:52 | 213 | |||||
|
NODDI Matlab Toolbox Resource Report Resource Website 10+ mentions |
NODDI Matlab Toolbox (RRID:SCR_006826) | NODDI Matlab Toolbox | software resource, software toolkit | This MATLAB toolbox implements a data fitting routine for Neurite Orientation Dispersion and Density Imaging (NODDI). NODDI is a new diffusion MRI technique for imaging brain tissue microstructure. Compared to DTI, it has the advantage of providing measures of tissue microstructure that are much more direct and hence more specific. It achieves this by adopting the model-based strategy which relates the signals from diffusion MRI to geometric models of tissue microstructure. In contrast to typical model-based techniques, NODDI is much more clinically feasible and can be acquired on standard MR scanners with an imaging time comparable to DTI. | analyze, matlab, magnetic resonance, nifti, os independent, neurite orientation dispersion and density imaging, diffusion mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University College London; London; United Kingdom |
Artistic License | nlx_155892 | http://www.nitrc.org/projects/noddi_toolbox | SCR_006826 | 2026-02-16 09:46:49 | 25 | |||||||
|
dcm2nii Resource Report Resource Website 100+ mentions |
dcm2nii (RRID:SCR_014099) | software application, software resource, systems interoperability software | A tool for converting images from the complicated formats used by scanner manufacturers (DICOM, PAR/REC) to the NIfTI format used by various scientific tools. dcm2nii works for all modalities (CT, MRI, PET, SPECT) and sequence types. | image converter, nifti format, systems interoperability software |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of South Carolina; South Carolina; USA |
NIDCD R01DC009571; NIDCD U01DC011739 |
Available for download | http://www.nitrc.org/plugins/mwiki/index.php/dcm2nii:MainPage | SCR_014099 | 2026-02-16 09:48:29 | 191 | ||||||||
|
iso2mesh Resource Report Resource Website 10+ mentions |
iso2mesh (RRID:SCR_013202) | iso2mesh | software application, software resource, software toolkit | A Matlab / Octave-based mesh generation toolbox designed for easy creation of high quality surface and tetrahedral meshes from 3D volumetric images. It contains a rich set of mesh processing scripts/programs, functioning independently or interfacing with external free meshing utilities. Iso2mesh toolbox can operate directly on 3D binary, segmented or gray-scale images, such as those from MRI or CT scans, making it particularly suitable for multi-modality medical imaging data analysis or multi-physics modeling. | matlab, mesh generation, modeling, magnetic resonance, optical imaging, os independent, mri, computed tomography, octave |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: SourceForge |
GNU General Public License | nlx_155855 | http://www.nitrc.org/projects/iso2mesh | SCR_013202 | 2026-02-16 09:48:18 | 25 | |||||||
|
DTI denoising Resource Report Resource Website |
DTI denoising (RRID:SCR_014102) | software resource, software toolkit | A Matlab package which contains six denoising filters and a noise estimation method for 4D DWI. The package includes nonlocal means, local PCA and Oracle DCT methods. Based on image redundancy and/or sparsity, the proposed filters provide efficient denoising while preserving fine structures. | software toolkit, matlab package, denoise, filter, dwi, image redundancy, imager sparsity |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Bordeaux Segalen University; Bordeaux; France has parent organization: Polytechnic University of Valencia; Valencia; Spain |
Free for non-commercial use | SCR_014102 | DWIdenoisingPackage, DWI Denoising Package | 2026-02-16 09:48:28 | 0 | |||||||||
|
fMRI Data Center Resource Report Resource Website 10+ mentions |
fMRI Data Center (RRID:SCR_007278) | fMRIDC | storage service resource, data or information resource, database, service resource, data repository | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 25, 2013 Public curated repository of peer reviewed fMRI studies and their underlying data. This Web-accessible database has data mining capabilities and the means to deliver requested data to the user (via Web, CD, or digital tape). Datasets available: 107 NOTE: The fMRIDC is down temporarily while it moves to a new home at UCLA. Check back again in late Jan 2013! The goal of the Center is to help speed the progress and the understanding of cognitive processes and the neural substrates that underlie them by: * Providing a publicly accessible repository of peer-reviewed fMRI studies. * Providing all data necessary to interpret, analyze, and replicate these fMRI studies. * Provide training for both the academic and professional communities. The Center will accept data from those researchers who are publishing fMRI imaging articles in peer-reviewed journals. The goal is to serve the entire fMRI community. | fmri, cognitive, cortex, mri, talairach, neuroimaging, cognitive neuroscience, brain, structure, function, magnetic resonance, intellect, image collection, data set |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: re3data.org has parent organization: University of California at Santa Barbara; California; USA |
NSF ; W. M. Keck Foundation ; NIMH ; Sun Microsystems Center of Excellence |
PMID:11545705 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00025 | http://www.fmridc.org/ | SCR_007278 | The fMRI Data Center | 2026-02-17 10:01:05 | 16 | ||||
|
National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS) Resource Report Resource Website 50+ mentions |
National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS) (RRID:SCR_007314) | NIAGADS | storage service resource, data or information resource, database, service resource, data set, data repository | National genetics data repository facilitating access to genotypic and phenotypic data for Alzheimer's disease (AD). Data include GWAS, whole genome (WGS) and whole exome (WES), expression, RNA Seq, and CHIP Seq analyses. Data for the Alzheimer’s Disease Sequencing Project (ADSP) are available through a partnership with dbGaP (ADSP at dbGaP). Repository for many types of data generated from NIA supported grants and/or NIA funded biological samples. Data are deposited at NIAGADS or NIA-approved sites. Genetic Data and associated Phenotypic Data are available to qualified investigators in scientific community for secondary analysis. | genetics, alzheimer's disease, genome-wide association study, neurodegenerative disease, genotype, phenotype, late adult human, dna marker, dna sequencing, rna expression, rna, dna, gene |
is recommended by: National Library of Medicine is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NIH Data Sharing Repositories is related to: Allen Institute for Brain Science has parent organization: University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA |
Alzheimer's disease, Late-onset Alzheimer's disease, Aging | NIH Blueprint for Neuroscience Research ; NIA U24 AG041689; NIA 3U24AG041689 |
nif-0000-00179 | http://www.nitrc.org/projects/niagads http://alois.med.upenn.edu/niagads/ | SCR_007314 | National Institute on Aging, NIA Genetics of Alzheimer's Disease Data Storage Site, Genetics of Alzheimer’s Disease Data Storage Site | 2026-02-17 10:01:14 | 60 | |||||
|
NeuroLens Resource Report Resource Website 1+ mentions |
NeuroLens (RRID:SCR_007372) | NeuroLens | data visualization software, software application, image processing software, data processing software, software resource, image analysis software | An integrated environment for the analysis and visualization of functional neuroimages. It is intended to provide extremely fast and flexible image processing, via an intuitive user interface that encourages experimentation with analysis parameters and detailed inspection of both raw image data and processing results. All processing operations in NeuroLens are built around a Plugin architecture, making it easy to extend its functionality. NeuroLens runs on Apple computers based on the G4, G5, or Intel chipsets and running MacOSX 10.4 (Tiger) or later. It is available free for academic and non-profit research use. * Operating System: MacOS * Programming Language: Objective C * Supported Data Format: AFNI BRIK, ANALYZE, COR, DICOM, MGH/MGZ, MINC, Other Format | image-to-image, linear, temporal convolution - deconvolution, multivariate analysis, neuroimaging, fmri, brain structure, neural structure, brain, temporal convolution, temporal deconvolution, afni brik, analyze, cor, dicom, image display, macos, mgh/mgz, minc, magnetic resonance, objective c, registration, regression, rendering, software, spatial transformation, statistical operation, surface rendering, temporal transformation, three dimensional display, visualization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of Montreal; Quebec; Canada |
MGH CSRL License, - free for academic and non-profit research use. | nif-0000-00333 | http://www.nitrc.org/projects/nldo | SCR_007372 | 2026-02-17 10:01:02 | 9 | |||||||
|
BioSig: An Imaging Bioinformatics System for Phenotypic Analysis Resource Report Resource Website 100+ mentions |
BioSig: An Imaging Bioinformatics System for Phenotypic Analysis (RRID:SCR_008428) | BioSig | software application, image processing software, data processing software, software resource, software toolkit, software library | Software library for processing of electroencephalogram (EEG) and other biomedical signals like electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), respiration, and so on. Biosig contains tools for quality control, artifact processing, time series analysis, feature extraction, classification and machine learning, and tools for statistical analysis. Many tools are able to handle data with missing values (statistics, time series analysis, machine learning). Another feature is that more then 40 different data formats are supported, and a number of converters for EEG,, ECG and polysomnography are provided. Biosig has been widely used for scientific research on EEG-based BraiN-Computer Interfaces (BCI), sleep research, and ECG and HRV analysis. It provides software interfaces several programming languages (C, C++, Matlab/Octave, Python), and it provides also an interactive viewing and scoring software for adding, and editing of annotations, markers and events. | application, autocorrelation, bsd, c, c++, connectivity analysis, correlation, cross-correlation, directed transfer analysis, discriminant analysis, domain independent, eeg, meg, electrocorticography, end event related potential, format conversion, german, gnome, granger causality, information theory, kde, linux, matlab, microsoft, multivariate analysis, partial directed coherence, posix/unix-like, python, regression, spectral analysis, statistical operation, temporal transformation, time domain analysis, win32 (ms windows), windows, electrocorticogram, electrocardiogram, electrooculogram, electromyogram, respiration, signal, processing, biosignal |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian has parent organization: Lawrence Berkeley National Laboratory |
DOI:10.1109/MC.2008.407 | Free, Available for download, Freely available | nif-0000-30190 | http://www.nitrc.org/projects/biosig https://sources.debian.org/src/biosig-tools/ |
SCR_008428 | 2026-02-17 10:01:07 | 158 | ||||||
|
Textpresso Resource Report Resource Website 10+ mentions |
Textpresso (RRID:SCR_008737) | Textpresso | software application, text-mining software, data or information resource, database, software resource | An information extracting and processing package for biological literature that can be used online or installed locally via a downloadable software package, http://www.textpresso.org/downloads.html Textpresso's two major elements are (1) access to full text, so that entire articles can be searched, and (2) introduction of categories of biological concepts and classes that relate two objects (e.g., association, regulation, etc.) or describe one (e.g., methods, etc). A search engine enables the user to search for one or a combination of these categories and/or keywords within an entire literature. The Textpresso project serves the biological and biomedical research community by providing: * Full text literature searches of model organism research and subject-specific articles at individual sites. Major elements of these search engines are (1) access to full text, so that the entire content of articles can be searched, and (2) search capabilities using categories of biological concepts and classes that relate two objects (e.g., association, regulation, etc.) or identify one (e.g., cell, gene, allele, etc). The search engines are flexible, enabling users to query the entire literature using keywords, one or more categories or a combination of keywords and categories. * Text classification and mining of biomedical literature for database curation. They help database curators to identify and extract biological entities and facts from the full text of research articles. Examples of entity identification and extraction include new allele and gene names and human disease gene orthologs; examples of fact identification and extraction include sentence retrieval for curating gene-gene regulation, Gene Ontology (GO) cellular components and GO molecular function annotations. In addition they classify papers according to curation needs. They employ a variety of methods such as hidden Markov models, support vector machines, conditional random fields and pattern matches. Our collaborators include WormBase, FlyBase, SGD, TAIR, dictyBase and the Neuroscience Information Framework. They are looking forward to collaborating with more model organism databases and projects. * Linking biological entities in PDF and online journal articles to online databases. They have established a journal article mark-up pipeline that links select content of Genetics journal articles to model organism databases such as WormBase and SGD. The entity markup pipeline links over nine classes of objects including genes, proteins, alleles, phenotypes, and anatomical terms to the appropriate page at each database. The first article published with online and PDF-embedded hyperlinks to WormBase appeared in the September 2009 issue of Genetics. As of January 2011, we have processed around 70 articles, to be continued indefinitely. Extension of this pipeline to other journals and model organism databases is planned. Textpresso is useful as a search engine for researchers as well as a curation tool. It was developed as a part of WormBase and is used extensively by C. elegans curators. Textpresso has currently been implemented for 24 different literatures, among them Neuroscience, and can readily be extended to other corpora of text. | literature, extract, process, bibliographic resource, database application, linux, macos, pdf, perl, posix/unix-like, sh, bash, unix shell, web service, search engine, curation tool, dicty, neuroscience, regulon db, ecoliwiki, ecocyc, curation, text-mining |
is listed by: OMICtools is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: WormBase is related to: Dictyostelium discoideum genome database |
NHGRI HG004090 | PMID:18949581 PMID:15383839 |
Textpresso License | nlx_143812, OMICS_01199 | http://www.nitrc.org/projects/textpresso-2-0/ | SCR_008737 | Text presso, Textpresso - literature search engine | 2026-02-17 10:01:24 | 10 | ||||
|
BrainSolution Resource Report Resource Website |
BrainSolution (RRID:SCR_009447) | BrainSolution | software application, data processing software, software resource, segmentation software, image analysis software | A collection of tools for MRI T1 brain image segmentation in the Windows environment. It helps construct a complete pipeline with necessary preprocessing and postprocessing procedures besides brainparser, the core program of our fast brain segmentation. The execution of the whole pipeline can be completed in 2 hours with good segmentation results. Execution requires: FSL | analyze, c++, console (text based), labeling, linux, microsoft, magnetic resonance, posix/unix-like, region of interest, segmentation, sh/bash, unix shell, windows, windows nt/2000, windows vista, workflow |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Laboratory of Neuro Imaging |
LONI Software License | nlx_155591 | SCR_009447 | 2026-02-17 10:01:22 | 0 | ||||||||
|
Laboratory of Neuro Imaging Resource Report Resource Website 50+ mentions |
Laboratory of Neuro Imaging (RRID:SCR_001922) | LONI | biomedical technology resource center, training resource | Biomedical technology resource center specializing in novel approaches and tools for neuroimaging. It develops novel strategies to investigate brain structure and function in their full multidimensional complexity. There is a rapidly growing need for brain models comprehensive enough to represent brain structure and function as they change across time in large populations, in different disease states, across imaging modalities, across age and sex, and even across species. International networks of collaborators are provided with a diverse array of tools to create, analyze, visualize, and interact with models of the brain. A major focus of these collaborations is to develop four-dimensional brain models that track and analyze complex patterns of dynamically changing brain structure in development and disease, expanding investigations of brain structure-function relations to four dimensions. | anatomic, animal, brain, brain function, brain structure, cerebral metabolism, human, mapping, neurobiological, software, neuroimaging, fmri, mri, neuroimaging, software, brain mapping, computational software, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Wavelet Analysis of Image Registration is related to: Sub-Volume Thresholding Analysis is related to: jViewbox is related to: MultiPhase-SEG is related to: LONI Java Image I/O Plugins is related to: DualSurfaceMin is related to: Charged Fluid Model for Brain Image Segmentation is related to: MINC/Atlases has parent organization: University of Southern California Keck School of Medicine; California; USA is parent organization of: Center for Computational Biology at UCLA is parent organization of: LONI Visualization Tool is parent organization of: International Consortium for Brain Mapping is parent organization of: LONI Provenance Editor is parent organization of: TetraMetrix is parent organization of: Synchronized Histological Image Viewing Architecture is parent organization of: LONI ShapeViewer is parent organization of: LONI ShapeTools is parent organization of: FFT Library is parent organization of: Mouse BIRN Atlasing Toolkit is parent organization of: MGH-USC Human Connectome Project is parent organization of: Mouse Connectome Project is parent organization of: LONI Inspector is parent organization of: Parkinson's Progression Markers Initiative is parent organization of: BrainSolution is parent organization of: BrainGraph Editor is parent organization of: INVIZIAN is parent organization of: LONI Brain Parser is parent organization of: LONI De-identification Debablet is parent organization of: iTools is parent organization of: Pipeline Neuroimaging VirtualEnvironment is parent organization of: MultiTracer is parent organization of: International Consortium for Brain Mapping |
NCRR 5 P41 RR013642 | LONI Software License | nif-0000-10494 | http://www.nitrc.org/projects/loni | http://loni.ucla.edu/ | SCR_001922 | UCLA Laboratory of Neuro Imaging, Laboratory of Neuroimaging, UCLA LONI, USC Laboratory of Neuro Imaging | 2026-02-16 09:45:36 | 58 | ||||
|
Statistics Online Computational Resource Resource Report Resource Website 10+ mentions |
Statistics Online Computational Resource (RRID:SCR_003378) | SOCR | narrative resource, software application, data or information resource, training material, software resource, software toolkit | A hierarchy of portable online interactive aids for motivating, modernizing probability and statistics applications. The tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials. The core SOCR educational and computational components include the following suite of web-based Java applets: * Distributions (interactive graphs and calculators) * Experiments (virtual computer-generated games and processes) * Analyses (collection of common web-accessible tools for statistical data analysis) * Games (interfaces and simulations to real-life processes) * Modeler (tools for distribution, polynomial and spectral model-fitting and simulation) * Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), * Additional Tools (other statistical tools and resources) * SOCR Java-based Statistical Computing Libraries * SOCR Wiki (collaborative Wiki resource) * Educational Materials and Hands-on Activities (varieties of SOCR educational materials), * SOCR Statistical Consulting In addition, SOCR provides a suite of tools for volume-based statistical mapping (http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_AnalysesCommandLine) via command-line execution and via the LONI Pipeline workflows (http://www.nitrc.org/projects/pipeline). Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty. Students and trainees may find the SOCR class notes, analyses, computational and graphing tools extremely useful in their learning/practicing pursuits. Model developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented SOCR computational libraries and infrastructure useful in their algorithm designs and research efforts. The three types of SOCR resources are: * Interactive Java applets: these include a number of different applets, simulations, demonstrations, virtual experiments, tools for data visualization and analysis, etc. All applets require a Java-enabled browser (if you see a blank screen, see the SOCR Feedback to find out how to configure your browser). * Instructional Resources: these include data, electronic textbooks, tutorials, etc. * Learning Activities: these include various interactive hands-on activities. * SOCR Video Tutorials (including general and tool-specific screencasts). | probability, statistics, instruction, statistical computing, applet, computational tool, graphing tool, course material, computation, java, statistical mapping, graphing, computational neuroscience, java, loni pipeline, educator, student, tool developer |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of California at Los Angeles; California; USA |
NIH Roadmap for Medical Research ; NSF 0442992; NSF DUE 0716055; NSF 1023115; NCRR U54 RR021813 |
PMID:21451741 PMID:21297884 |
Free, Freely available | nif-0000-32655 | http://www.nitrc.org/projects/socr | SCR_003378 | 2026-02-17 10:00:09 | 13 | |||||
|
L-Measure Resource Report Resource Website 10+ mentions |
L-Measure (RRID:SCR_003487) | LM | software application, image processing software, data processing software, software resource, service resource, image analysis software | A freely available software tool available for the Windows and Linux platform, as well as the Online version Applet, for the analysis, comparison and search of digital reconstructions of neuronal morphologies. For the quantitative characterization of neuronal morphology, LM computes a large number of neuroanatomical parameters from 3D digital reconstruction files starting from and combining a set of core metrics. After more than six years of development and use in the neuroscience community, LM enables the execution of commonly adopted analyses as well as of more advanced functions, including: (i) extraction of basic morphological parameters, (ii) computation of frequency distributions, (iii) measurements from user-specified subregions of the neuronal arbors, (iv) statistical comparison between two groups of cells and (v) filtered selections and searches from collections of neurons based on any Boolean combination of the available morphometric measures. These functionalities are easily accessed and deployed through a user-friendly graphical interface and typically execute within few minutes on a set of 20 neurons. The tool is available for either online use on any Java-enabled browser and platform or may be downloaded for local execution under Windows and Linux. | neuronal morphology, neuroinformatics, branching analysis, digital reconstruction, analysis, comparison, bio.tools |
is listed by: 3DVC is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: bio.tools has parent organization: Computational Neuroanatomy Group |
Human Brain Project ; NINDS R01 NS39600 |
PMID:18451794 | Public | nif-0000-00003, biotools:l-measure | http://www.nitrc.org/projects/lmeasure https://bio.tools/l-measure |
SCR_003487 | 2026-02-17 10:00:18 | 30 | |||||
|
Mouse Biomedical Informatics Research Network Resource Report Resource Website |
Mouse Biomedical Informatics Research Network (RRID:SCR_003392) | MouseBIRN, mBIRN | data or information resource, reference atlas, data set, atlas | Animal model data primarily focused on mice including high resolution MRI, light and electron microscopic data from normal and genetically modified mice. It also has atlases, and the Mouse BIRN Atlasing Toolkit (MBAT) which provides a 3D visual interface to spatially registered distributed brain data acquired across scales. The goal of the Mouse BIRN is to help scientists utilize model organism databases for analyzing experimental data. Mouse BIRN has ended. The next phase of this project is the Mouse Connectome Project (https://www.nitrc.org/projects/mcp/). The Mouse BIRN testbeds initially focused on mouse models of neurodegenerative diseases. Mouse BIRN testbed partners provide multi-modal, multi-scale reference image data of the mouse brain as well as genetic and genomic information linking genotype and brain phenotype. Researchers across six groups are pooling and analyzing multi-scale structural and functional data and integrating it with genomic and gene expression data acquired from the mouse brain. These correlated multi-scale analyses of data are providing a comprehensive basis upon which to interpret signals from the whole brain relative to the tissue and cellular alterations characteristic of the modeled disorder. BIRN's infrastructure is providing the collaborative tools to enable researchers with unique expertise and knowledge of the mouse an opportunity to work together on research relevant to pre-clinical mouse models of neurological disease. The Mouse BIRN also maintains a collaborative Web Wiki, which contains announcements, an FAQ, and much more. | electron microscopy, expression, functional, gene, 3-dimentional, brain, cellular, disorder, genomic, genotype, mouse, neurodegenerative disease, phenotype, molecular neuroanatomy resource, mri, light microscopy, model organism, gene expression, atlas data, imaging genomics, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Mouse BIRN Atlasing Toolkit is related to: Mouse Connectome Project has parent organization: Biomedical Informatics Research Network |
Normal, Neurodegenerative disease, Multiple Sclerosis, Alzheimer's disease, Parkinson's disease | NIH ; Collaborative Tools Support Network Award ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01 |
Free, Available for download, Freely available | nif-0000-00200 | https://loni.usc.edu/research/software?name=MBATWA | http://www.loni.ucla.edu/BIRN/Projects/Mouse/index.shtml | SCR_003392 | Mouse BIRN | 2026-02-17 10:00:00 | 0 | |||
|
NIH Blueprint for Neuroscience Research Resource Report Resource Website 1+ mentions |
NIH Blueprint for Neuroscience Research (RRID:SCR_003670) | NIH Blueprint, Blueprint, | data or information resource, topical portal, funding resource, training resource, portal | Collaborative framework that includes the NIH Office of the Director and the 14 NIH Institutes and Centers that support research on the nervous system. By pooling resources and expertise, the Blueprint identifies cross-cutting areas of research, and confronts challenges too large for any single Institute or Center. The Blueprint makes collaboration a day-to-day part of how the NIH does business in neuroscience, complementing the basic missions of Blueprint partners. During each fiscal year, the partners contribute a small percentage of their funds to a common pool. Since the Blueprint's inception in 2004, this pool has comprised less than 1 percent of the total neuroscience research budget of the partners. In 2009, the Blueprint Grand Challenges were launched to catalyze research with the potential to transform our basic understanding of the brain and our approaches to treating brain disorders. * The Human Connectome Project is an effort to map the connections within the healthy brain. It is expected to help answer questions about how genes influence brain connectivity, and how this in turn relates to mood, personality and behavior. The investigators will collect brain imaging data, plus genetic and behavioral data from 1,200 adults. They are working to optimize brain imaging techniques to see the brain's wiring in unprecedented detail. * The Grand Challenge on Pain supports research to understand the changes in the nervous system that cause acute, temporary pain to become chronic. The initiative is supporting multi-investigator projects to partner researchers in the pain field with researchers in the neuroplasticity field. * The Blueprint Neurotherapeutics Network is helping small labs develop new drugs for nervous system disorders. The Network provides research funding, plus access to millions of dollars worth of services and expertise to assist in every step of the drug development process, from laboratory studies to preparation for clinical trials. Project teams across the U.S. have received funding to pursue drugs for conditions from vision loss to neurodegenerative disease to depression. Since its inception in 2004, the Blueprint has supported the development of new resources, tools and opportunities for neuroscientists. For example, the Blueprint supports several training programs to help students pursue interdisciplinary areas of neuroscience, and to bring students from underrepresented groups into the neurosciences. The Blueprint also funds efforts to develop new approaches to teaching neuroscience through K-12 instruction, museum exhibits and web-based platforms. From fiscal years 2007 to 2009, the Blueprint focused on three major themes of neuroscience - neurodegeneration, neurodevelopment, and neuroplasticity. These efforts enabled unique funding opportunities and training programs, and helped establish new resources including the Blueprint Non-Human Primate Brain Atlas. | animal model, collaboration, computational biology, imaging tool, initiative, neurodegeneration, neurodevelopment, neuroinformatics, brain, brain disorder, pain, drug, nervous system disorder, neurotherapeutics, neuroplasticity, neuroscience |
has parent organization: National Institutes of Health is parent organization of: CRE Driver Network is parent organization of: Blueprint Neurotherapeutics Network is parent organization of: National Center for Complementary and Alternative Medicine is parent organization of: National Eye Institute (NEI) Commons is parent organization of: National Institute of Biomedical Imaging and Bioengineering is parent organization of: National Institute of Nursing Research is parent organization of: National Institute on Alcohol Abuse and Alcoholism is parent organization of: National Institute on Drug Abuse is parent organization of: National Institute on Deafness and Other Communication Disorders is parent organization of: National Institute of General Medical Sciences is parent organization of: National Institute of Dental and Craniofacial Research is parent organization of: Office of Behavioral and Social Sciences Research is parent organization of: National Institute of Child Health and Human Development is parent organization of: National Institute of Environmental Health Sciences is parent organization of: National Institute of Mental Health is parent organization of: National Institute on Aging is parent organization of: National Institute of Neurological Disorders and Stroke is parent organization of: NeuroImaging Tools and Resources Collaboratory (NITRC) |
nif-0000-00219 | SCR_003670 | Neuroscience Blueprint | 2026-02-17 10:00:04 | 9 | ||||||||
|
3D Slicer Resource Report Resource Website 1000+ mentions |
3D Slicer (RRID:SCR_005619) | Slicer | software application, data processing software, software resource, image analysis software, data visualization software | 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. | birn, diffusion, functional, na-mic (ncbc), nifti-1 support, registration, segmentation, visualization, volume, warping |
uses: 3DSlicerLupusLesionModule uses: ShapePopulationViewer uses: Joint Anisotropic LMMSE Filter for Stationary Rician noise removal in DWI uses: Joint Anisotropic LMMSE Filter for Stationary Rician noise removal in DWI is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is related to: Slicer3 Example Modules is related to: Stereoscopic Atlas of Intrinsic Brain Networks is related to: VMTK in 3D Slicer is related to: Diffusion Tractography with Kalman Filter is related to: Fast Nonlocal Means for MRI denoising is related to: SpineSegmentation module for 3DSlicer is related to: BioImage Suite is related to: NA-MIC Kit is related to: Hammer And WML Modules for 3D Slicer is related to: ABC (Atlas Based Classification) is related to: ARCTIC is related to: Finsler tractography module for Slicer is related to: GAMBIT is related to: GPU based affine registration is related to: GTRACT is related to: LEAD-DBS has parent organization: Harvard University; Cambridge; United States is parent organization of: Level-set Segmentation for Slicer3 is parent organization of: Slicer3 Module Rician noise filter has plug in: MultiXplore works with: UManitoba - JHU Functionally Defined Human White Matter Atlas works with: SlicerMorph |
NIH ; NCRR ; NIBIB ; NCI ; US Army ; Telemedicine and Advanced Technology Research Center |
3D Slicer License | nif-0000-00256 | http://www.nitrc.org/projects/slicer | SCR_005619 | Slicer, 3D Slicer: A multi-platform free and open source software package for visualization and medical image computing, 3D Slicer, 3DSlicer | 2026-02-17 10:00:36 | 2238 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the SPARC SAWG Resources search. From here you can search through a compilation of resources used by SPARC SAWG and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that SPARC SAWG has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on SPARC SAWG then you can log in from here to get additional features in SPARC SAWG such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into SPARC SAWG you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.