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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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WFU Biological Parametric Mapping Toolbox Resource Report Resource Website 1+ mentions |
WFU Biological Parametric Mapping Toolbox (RRID:SCR_002613) | WFU_BPM, WFU BPM | data processing software, image analysis software, software application, software resource, software toolkit | Software toolbox that performs SPM analysis with voxel-wise imaging covariates. The BPM toolbox incorporates information obtained from other modalities as regressors in a voxel-wise analysis, thereby permitting investigation of more sophisticated hypotheses. The BPM toolbox has been developed in Matlab with a user-friendly interface for performing analyses, including voxel-wise multimodal correlation, ANCOVA, and multiple regression. It has a high degree of integration with the SPM (statistical parametric mapping) software relying on it for visualization and statistical inference. Furthermore, statistical inference for a correlation field, rather than a widely used T-field, has been implemented in the correlation analysis for more accurate results. Requirements: * SPM2 or SPM5 * MATLAB version 6.5 or higher | analyze, matlab, microsoft, magnetic resonance, nifti, posix/unix-like, statistical operation, win32 (ms windows), windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: SPM has parent organization: Wake Forest School of Medicine; North Carolina; USA |
Human Brain Project ; NIBIB 1R01EB004673 |
PMID:17070709 | Free, Available for download, Freely available | nlx_156016 | http://www.nitrc.org/projects/wfu_bpm | SCR_002613 | BPM - Integrated Tool for Biological Parametric Mapping, WFU Biological Parametric Mapping, BPM toolbox, BPM | 2026-09-03 04:45:36 | 4 | ||||
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Non-Rigid Image Registration Evaluation Project Resource Report Resource Website 1+ mentions |
Non-Rigid Image Registration Evaluation Project (RRID:SCR_002505) | NIREP | data or information resource, database, narrative resource, software resource, standard specification | Project to develop software tools and provide shared image validation databases for rigorous testing of non-rigid image registration algorithms. NIREP will extend the scope of prior validation projects by developing evaluation criteria and metrics using large image populations, using richly annotated image databases, using computer simulated data, and increasing the number and types of evaluation criteria. The goal of this project is to establish, maintain, and endorse a standardized set of relevant benchmarks and metrics for performance evaluation of nonrigid image registration algorithms. Furthermore, these standards will be incorporated into an exportable computer program to automatically evaluate the registration accuracy of nonrigid image registration algorithms. | magnetic resonance, registration software |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Iowa; Iowa; USA |
NIBIB R33 EB004126 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_155904 | http://www.nitrc.org/projects/nirep | SCR_002505 | Non-Rigid Image Registration Evaluation Project, Non-Rigid Image Registration Evaluation Project (NIREP) | 2026-09-03 04:45:36 | 7 | |||||
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FFT Library Resource Report Resource Website |
FFT Library (RRID:SCR_002698) | FFT Library | data processing software, image processing software, software application, software library, software resource, software toolkit | Java library used for the execution of discrete Fourier transforms in 1-D, 2-D and 3-D through the implementation of Fast Fourier Transform (FFT) algorithms. * The FFT library has been written in Java for portability across different platforms, integrated into a single jar file for easy implementation. * The FFT library provides forward and backward fast Fourier transforms in 1-D, 2-D and 3-D with an easy-to-use manner. * The FFT requires the length equal to a number with an integer power of two. This library automatically examines the input data and detects the length to prevent improper execution. | fourier transform, fast fourier transform, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: Laboratory of Neuro Imaging |
NIBIB 9P41EB015922-15; NCRR 2-P41-RR-013642-15; NCRR U54 RR021813 |
PMID:24822428 | Free, Freely available | nif-0000-23324 | http://www.nitrc.org/projects/fft http://www.loni.ucla.edu/Software/FFT | SCR_002698 | Fast Fourier Transform JavaLibrary, FFT Java library, Fast Fourier Transform Library, Fast Fourier Transform (FFT) JavaLibrary | 2026-09-03 04:45:36 | 0 | ||||
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Synchronized Histological Image Viewing Architecture Resource Report Resource Website |
Synchronized Histological Image Viewing Architecture (RRID:SCR_002690) | SHIVA | d visualization software, data processing software, image analysis software, image processing software, software application, software resource | A Java-based visualization and analysis application that can process 2D and 3D image files and provides convenient methods for users to overlay multiple datasets. * Simultaneous visualization of multiple image volumes. * Tools for labeling and masking of structures. * Framework for the Mouse Atlas Project. | data visualization, image analysis, 3d image, image, microscopy, magnetic resonance, java, manifold viewer |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: Laboratory of Neuro Imaging |
NIBIB 9P41EB015922-15; NCRR 2-P41-RR-013642-15 |
Free, Freely available | nif-0000-23318 | http://www.nitrc.org/projects/shiva | SCR_002690 | Synchronized Histological Image View Arc | 2026-09-03 04:45:36 | 0 | |||||
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National ESCA and Surface Analysis Center for Biomedical Problems Resource Report Resource Website 1+ mentions |
National ESCA and Surface Analysis Center for Biomedical Problems (RRID:SCR_001430) | NESAC/BIO | access service resource, analysis service resource, biomaterial analysis service, biomedical technology research center, material analysis service, production service resource, service resource, training resource | Biomedical technology research center that provides state-of-the-art surface analysis expertise, instrumentation, experimental protocols, and data analysis methods to address surface-related biomedical problems. NESAC/BIO develops and applies surface science methodologies that produce a full understanding of the surface composition, structure, spatial distribution, and orientation of biomaterials and adsorbed biomolecules. The NESAC/BIO program identifies areas where surface science must evolve to keep pace with the growth in biochemical knowledge and biomaterial fabrication technology, and develops instrumentation, experimental protocols, and data analysis methods to achieve this evolution. NESAC/BIO provides state-of-the-art surface analysis tools to researchers in the biomedical community. You can gain access to the NESAC/BIO facilities in one of the following ways: * Collaborative: Propose a project to collaborate on with NESAC/BIO. The project should be rewarding for both groups, and the results should reflect the utility of surface analysis for biomedical research * Service: Ask NESAC/BIO to analyze your biomaterial specimens. The spectra obtained from the analyses will be interpreted for you. * Training: Visit the University of Washington to receive training in surface analysis and personally run experiments for your individual research projects. These experiments should have a high probability for yielding useful information and should not involve the development of new ESCA techniques or methodologies. | surface, composition, structure, spatial distribution, orientation, biomaterial, biomolecule, surface science, biochemical, biomaterial fabrication, surface analysis | has parent organization: University of Washington; Seattle; USA | NIBIB 5P41RR001296-11 | Free, Freely Available | nlx_152654 | SCR_001430 | NESAC/BIO - National ESCA and Surface Analysis Center for Biomedical Problems | 2026-09-03 04:44:39 | 1 | ||||||
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MRI Studio Resource Report Resource Website 100+ mentions |
MRI Studio (RRID:SCR_001398) | data processing software, data visualization software, image analysis software, image processing software, software application, software resource | An image processing program running under Windows suitable for such tasks as tensor calculation, color mapping, fiber tracking, and 3D visualization. Most of operations can be done with only a few clicks. This tool evolved from DTI Studio. Tools in the program can be grouped in the following way: * Image Viewer * Diffusion Tensor Calculations * Fiber Tracking and Editing * 3D Visualization * Image File Management * Region of Interesting (ROI) Drawing and Statistics * Image Registration | tensor calculation, color mapping, fiber tracking, 3d visualization, dti, image registration, mri, diffusion mr fiber tracking, microsoft, c++, analyze |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Diffusion Tensor Imaging ToolKit has parent organization: Johns Hopkins University; Maryland; USA works with: UManitoba - JHU Functionally Defined Human White Matter Atlas |
NCRR ; Biomedical Informatics Research Network ; NIBIB |
Free, Freely Available | nif-0000-00291 | http://www.nitrc.org/projects/mri_studio | SCR_001398 | dtiStudio, DTI Studio | 2026-09-03 04:44:39 | 180 | ||||||
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PNEUMA Resource Report Resource Website 1+ mentions |
PNEUMA (RRID:SCR_001391) | PNEUMA | simulation software, software application, software resource, software toolkit | A set of modules that are used to simulate the autoregulation of the cardiovascular and respiratory systems under conditions of changing sleep-wake state and a variety of physiological and pharmacological interventions. It models the dynamic interactions that take place among the various component mechanisms, including those involved in the chemical control of breathing, heart rate, and blood pressure, as well as the effects of changes in the sleep-wake state and arousal from sleep. PNEUMA includes the autonomic control of the cardiovascular system, chemoreflex and state-related control of breath-to-breath ventilation, state-related and chemoreflex control of upper airway potency, as well as respiratory and circulatory mechanics. The model is capable of simulating the cardiorespiratory responses to sleep onset, arousal, continuous positive airway pressure, the administration of inhaled carbon dioxide and oxygen, Valsalva and Mueller maneuvers, and Cheyne-Stokes respiration during sleep. In PNEUMA 3.0, we have extended the existing integrative model of respiratory, cardiovascular, and sleepwake state control, to incorporate a sub-model of glucoseinsulinfatty acid regulation. The extended model is capable of simulating the metabolic control of glucoseinsulin dynamics and its interactions with the autonomic nervous system. The interactions between autonomic and metabolic control include the circadian regulation of epinephrine secretion, epinephrine regulation on dynamic fluctuations in glucose and free fatty acids in plasma, metabolic coupling among tissues and organs mediated by insulin and epinephrine, as well as the effect of insulin on peripheral vascular sympathetic activity. This extended model represents a starting point from which further in silico investigations into the interaction between the autonomic nervous system and the metabolic control system can proceed. Features in PNEUMA 3.0 * Incorporates metabolic component based on prior models of glucose-insulin regulation and free fatty acid (FFA) regulation. * Changes in sympathetic activity from the autonomic portion of PNEUMA produce changes in epinephrine output, which in turn affects the metabolic sub-model. * Inputs from the dietary intake of glucose and external interventions, such as insulin injections, have also been incorporated. * Also incorporated is autonomic feedback from the metabolic component to the rest of PNEUMA: changes in insulin level lead to changes in sympathetic tone. System Requirements: PNEUMA requires Matlab R2007b or higher with the accompanying version of Simulink to be installed on your computer. | matlab, simulate, autoregulation, cardiovascular system, respiratory system, sleep-wake state, physiological intervention, pharmacological intervention, drug, breathing, heart rate, blood pressure, respiration, glucose, insulin, fatty acid, regulation, autonomic nervous system, chemoreflex, ventilation, circulation, cardiorespiratory, metabolic control system, circadian, regulation, epinephrine | has parent organization: Biomedical Simulations Resource | NIBIB P41-EB001978; NCRR P41-RR01861 |
PMID:17271149 | Free, Freely Available | nlx_152572 | SCR_001391 | 2026-09-03 04:44:36 | 3 | ||||||
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Center for Gamma Ray Imaging Resource Report Resource Website |
Center for Gamma Ray Imaging (RRID:SCR_001384) | Center for Gamma-Ray Imaging | instrument manufacture, material service resource, production service resource, service resource | Biomedical technology resource center that develops new gamma-ray imaging instruments and techniques that yield substantially improved spatial and temporal resolutions. The Center makes its imagers and expertise available to a wide community of biomedical and clinical researchers through collaborative and service-oriented interactions. The collaborative research applies these new imaging tools to basic research in functional genomics, proteomics, cancer, cardiovascular disease and cognitive neuroscience, and to clinical research in tumor detection and other selected topics. There are five core research projects: * Detector technology research and development * Reconstruction algorithms and system modeling * Data acquisition, signal processing, and system development * Image-quality assessment and system optimization * Techniques for molecular imaging | spect, ct, imaging, clinical, gamma-ray, imaging instrument, basic research, functional genomics, cardiovascular disease, cognitive neuroscience, breast cancer, tumor detection, proteomics, cancer | has parent organization: University of Arizona; Arizona; USA | NIBIB EB002035-14 | nlx_152567 | SCR_001384 | 2026-09-03 04:44:38 | 0 | ||||||||
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Computer Integrated Systems for Microscopy and Manipulation Resource Report Resource Website 1+ mentions |
Computer Integrated Systems for Microscopy and Manipulation (RRID:SCR_001413) | CISMM | training resource | Biomedical technology research center that develops force technologies applicable over a wide range of biological settings, from the single molecule to the tissue, with integrated systems that orchestrate facile instrument control, multimodal imaging, and analysis through visualization and modeling. The Force Microscope Technologies Core designs instruments in an area of science where there are unusual opportunities: the measurement of forces and the integration with optical microscopy. Force technologies play the obvious role of both measuring events in the sample and modifying the sample during the experiment. It is through the microscope that the force data is correlated with simultaneous 3D optical images. The force technology development includes the magnetic bead technology in the 3D Force Microscope project, Atomic Force Microscopy in the nanoManipulator project, and Control Software to drive the instrumentation. This core is focused on providing the physical capability to perform the experiments and probe structure/property correlations. The Ideal User Interfaces core makes the connection between the user and the instrument, the model building, and the data. This includes control systems that allow the user to move the bead inside the cell culture with a handheld pen and the visualization techniques to view the optical microscope data as a rendered 3D image collocated with the force data. Using data to create, change, and understand a model is the focus of the Advanced Model Fitting and Analysis core. The quantitative reduction of images to structural, shape, and velocity parameters is the goal of Image Analysis. The immediate understanding of correlations across image fields and between data sets in the challenge of Visualization. The power of combining the strength of a computer science graphics group with a microscopy technology group is most evident in the Graphics Hardware Acceleration project, which seeks to harness the speed of graphics processors for microscope data analysis and simulation. The Advanced Technology core pushes the boundaries of the Human Computer Interface through the investigation of improved techniques for the interaction of users with virtual environments, the real time lighting of virtual settings, and the enabling of multi-person collaboration. These techniques are validated and evaluated through physiological measures in virtual environments effectiveness evaluation studies. | microscope, visual analytics, image analysis, biomedical, bioinstrumatics, scanning electron microscope, light microscope, microscopy | has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA | Thrombosis, Lung disease, Cancer | NIBIB 5-P41-EB002025 | Freely Available | nlx_152648 | http://cismm.cs.unc.edu/ | SCR_001413 | UNC Chapel Hill Computer Integrated Systems for Microscopy and Manipulation | 2026-09-03 04:44:40 | 8 | ||||
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Center for Biomedical OCT Research Resource Report Resource Website 1+ mentions |
Center for Biomedical OCT Research (RRID:SCR_001418) | CBORT | training resource | Biomedical technology research center that pioneers and provides access to microscopic imaging instruments for biologic and clinical research. Optical coherence tomography (OCT) has evolved over the last two decades to become a standard of care for diagnostic ophthalmic imaging and is poised to make significant impact in the fields of cardiology and gastrointestinal endoscopy. Access to state-of-the-art instrumentation, however, has been limited to a relatively few research laboratories and the optimization of instruments for new biomedical applications has hindered the investigation of new opportunities. A major focus of CBORT will be to cultivate strategic research collaborations and respond to a pressing need for application-specific OCT instrumentation and hardware. | imaging, optical coherence tomography, microscope, catheter, endoscopy, near infrared fluorescence | has parent organization: Harvard Medical School; Massachusetts; USA | NIBIB P41EB015903 | Free, Freely Available | nlx_152640 | SCR_001418 | Center for Biomedical OCT Research and Translation | 2026-09-03 04:44:40 | 2 | ||||||
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BioMEMS Resource Center Resource Report Resource Website 1+ mentions |
BioMEMS Resource Center (RRID:SCR_001417) | BMRC | training resource | Biomedical technology research center that provides biomedical investigators with novel microsystems engineering tools for biological discovery, diagnostic, prognostic, and therapeutic applications. Thrust areas of interest are the development of novel living cell-based, lab-on-a-chip type devices for sorting blood cells, for high-throughput biochemistry in small volumes, and for studying cellular behavior in controlled microenvironments. | cell, tissue, microengineering, diagnostics, chip | has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; | NIBIB 5P41EB002503-12 | Free, Freely Available | nlx_152639 | SCR_001417 | Bio MicroElectroMechanical Systems (BioMEMS) Resource Center, Biomicroelectromechanical Systems (BioMEMS) Resource Center, BioMEMS, Bio MicroElectroMechanical Systems Resource Center | 2026-09-03 04:44:38 | 4 | ||||||
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Farsight Toolkit Resource Report Resource Website 1+ mentions |
Farsight Toolkit (RRID:SCR_001728) | FARSIGHT | data processing software, image analysis software, image processing software, software application, software resource, software toolkit | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. A collection of software modules for image data handling, pre-processing, segmentation, inspection, editing, post-processing, and secondary analysis. These modules can be scripted to accomplish a variety of automated image analysis tasks. All of the modules are written in accordance with software practices of the Insight Toolkit Community. Importantly, all modules are accessible through the Python scripting language which allows users to create scripts to accomplish sophisticated associative image analysis tasks over multi-dimensional microscopy image data. This language works on most computing platforms, providing a high degree of platform independence. Another important design principle is the use of standardized XML file formats for data interchange between modules. | editing, 2d, 3d, algorithm, analysis, bio-format, computational, data, graphical, inspection, metadata, microscopy, morphological, morphology, pixel, processing, segmentation, taxonomy, image | has parent organization: University of Houston; Texas; USA | NIBIB R01-EB005157; NSF EEC-9986821; NIBIB R01EB005157 |
PMID:24808857 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10227 | SCR_001728 | FARSIGHTWiki | 2026-09-03 04:44:51 | 2 | |||||
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Atlas3D Resource Report Resource Website 10+ mentions |
Atlas3D (RRID:SCR_001808) | atlas, data or information resource, data processing software, data visualization software, software application, software resource | A multi-platform visualization tool which allows import and visualization of 3-D atlas structures in combination with tomographic and histological image data. The tool allows visualization and analysis of the reconstructed atlas framework, surface modeling and rotation of selected structures, user-defined slicing at any chosen angle, and import of data produced by the user for merging with the atlas framework. Tomographic image data in NIfTI (Neuroimaging Informatics Technology Initiative) file format, VRML and PNG files can be imported and visualized within the atlas framework. XYZ coordinate lists are also supported. Atlases that are available with the tool include mouse brain structures (3-D reconstructed from The Mouse Brain in Stereotaxic Coordinates by Paxinos and Franklin (2001)) and rat brain structures (3-D reconstructed from The Rat Brain in Stereotaxic Coordinates by Paxinos and Watson (2005)). Experimental data can be imported in Atlas3D and warped to atlas space, using manual linear registration, with the possibility to scale, rotate, and position the imported data. This facilitates assignment of location and comparative analysis of signal location in tomographic images. | analysis, brain, histological, mouse, rat, slicing, structure, 3d, tomographic, visualization, neuroimaging, image, magnetic resonance, visualization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Oslo; Oslo; Norway |
Research Council of Norway ; NIH ; NIBIB R01-EB00790; NCRR U24-RR021382 |
Free, Freely available | nif-0000-10373 | http://www.nitrc.org/projects/incf_atlas3d | SCR_001808 | Neural Systems and Graphics Computing Laboratory: Atlas3D Software, NeSys Atlas3D | 2026-09-03 04:44:57 | 18 | ||||||
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NeuralAct Resource Report Resource Website 10+ mentions |
NeuralAct (RRID:SCR_002066) | NeuralAct | software resource | Software to visualize electrocorticographic (ECoG) and possibly also other kinds of neural activity (EEG / EMG/ DOT) on a 3D model of the cortical surface. The tool has been used to produce cortical activation images and image sequences in several recent studies using ECoG. The tool is written in matlab. The package is thoroughly documented and includes a demo. | brain, imaging, electrocorticographic, eeg, meg, dot, matlab, cortex, visualization, neural activity | NIH ; NIBIB EB006356; NIBIB EB000856; United States army research office W911NF-08-1-0216; United States army research office W911NF-07-1-0415 |
PMID:25381641 | Free, Available for download, Freely available | SciRes_000162 | http://www.neuralgate.org/software | SCR_002066 | NeuralAct: A tool to visualize cortical activity on a 3D model of the cortex | 2026-09-03 04:45:08 | 13 | |||||
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MS lesion segmentation challenge 2008 Resource Report Resource Website 1+ mentions |
MS lesion segmentation challenge 2008 (RRID:SCR_002425) | MS Lesion Segmentation 08 | data or information resource, data set, narrative resource, training material | Training material for the MS lesion segmentation challenge 2008 to compare different algorithms to segment the MS lesions from brain MRI scans. Data used for the workshop is composed of 54 brain MRI images and represents a range of patients and pathology which was acquired from Children's Hospital Boston and University of North Carolian. Data has initially been randomized into three groups: 20 training MRI images, 24 testing images for the qualifying and 8 for the onsite contest at the 2008 workshop. The downloadable online database consists now of the training images (including reference segmentations) and all the 32 combined testing images (without segmentations). The naming has not been changed in comparison to the workshop compeition in order to allow easy comparison between the workshop papers and the online database papers. One dataset has been removed (UNC_test1_Case02) due to considerable motion present only in its T2 image (without motion artifacts in T1 and FLAIR). Such a dataset unfairly penalizes methods that use T2 images versus methods that don't use the T2 image. Currently all cases have been segmented by expert raters at each institution. They have significant intersite variablility in segmentation. MS lesion MRI image data for this competition was acquired seperately by Children's Hospital Boston and University of North Carolina. UNC cases were acquired on Siemens 3T Allegra MRI scanner with slice thickness of 1mm and in-plane resolution of 0.5mm. To ease the segmentation process all data has been rigidly registered to a common reference frame and resliced to isotrophic voxel spacing using b-spline based interpolation. Pre-processed data is stored in NRRD format containing an ASCII readable header and a separate uncompressed raw image data file. This format is ITK compatible. If you want to join the competition, you can download data set from links here, and submit your segmentation results at http://www.ia.unc.edu/MSseg after registering your team. They require team name, password, and email address for future contact. Once experiment is completed, you can submit the segmentation data in a zip file format. Please refer submission page for uploading data format. | magnetic resonance, competition, challenge, segmentation, segment, ms lesion, brain, mri scan, mri, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Multiple Sclerosis | NIH Roadmap for Medical Research ; NIBIB U54 EB005149-01 |
Free, Available for download, Freely available | nlx_155799 | SCR_002425 | 2008 MICCAI MS Lesion Segmentation Challenge | 2026-09-03 04:45:29 | 1 | |||||
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ANTS - Advanced Normalization ToolS Resource Report Resource Website 500+ mentions |
ANTS - Advanced Normalization ToolS (RRID:SCR_004757) | ANTS, ANTsX | data processing software, image analysis software, registration software, segmentation software, software application, software resource | Software package designed to enable researchers with advanced tools for brain and image mapping. Many of the ANTS registration tools are diffeomorphic*, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD). *Diffeomorphism: a differentiable map with differentiable inverse. In general, these maps are generated by integrating a time-dependent velocity field. ANTS Applications: * Gray matter morphometry based on the jacobian and/or cortical thickness. * Group and single-subject optimal templates. * Multivariate DT + T1 brain templates and group studies. * Longitudinal brain mapping -- special similarity metric options. * Neonatal and pediatric brain segmentation. * Pediatric brain mapping. * T1 brain mapping guided by tractography and connectivity. * Diffusion tensor registration based on scalar or connectivity data. * Brain mapping in the presence of lesions. * Lung and pulmonary tree registration. * User-guided hippocampus labeling, also of sub-fields. * Group studies and statistical analysis of cortical thickness, white matter volume, diffusion tensor-derived metrics such as fractional anisotropy and mean diffusion. | algorithm, atlas application, morphology, segmentation, image registration, temporal transformation, child, pediatric, normalization |
is used by: CMIND PY is used by: BICCN is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is related to: Segmentation of Hippocampus Subfields is related to: ANTsR has parent organization: University of Pennsylvania; Philadelphia; USA |
NIBIB R01 EB006266 | PMID:20851191 PMID:33907199 |
nlx_75959 | http://www.nitrc.org/projects/ants, https://sources.debian.org/src/ants/, https://gist.github.com/ntustison/12a656a5fc2f6f9c4494c88dc09c5621 | SCR_004757 | Advanced Normalization Tools | 2026-09-03 04:47:21 | 525 | |||||
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Protein Data Bank Markup Language Resource Report Resource Website 1+ mentions |
Protein Data Bank Markup Language (RRID:SCR_005085) | PDBML | data or information resource, interchange format, markup language, narrative resource, standard specification | Markup Language that provides a representation of PDB data in XML format. The description of this format is provided in XML schema of the PDB Exchange Data Dictionary. This schema is produced by direct translation of the mmCIF format PDB Exchange Data Dictionary Other data dictionaries used by the PDB have been electronically translated into XML/XSD schemas and these are also presented in the list below. * PDBML data files are provided in three forms: ** fully marked-up files, ** files without atom records ** files with a more space efficient encoding of atom records * Data files in PDBML format can be downloaded from the RCSB PDB website or by ftp. * Software tools for manipulating PDB data in XML format are available. | xml |
is related to: RCSB PDB Software Tools has parent organization: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
NSF ; NIGMS ; DOE ; NLM ; NCI ; NCRR ; NIBIB ; NINDS |
PMID:15509603 | nlx_144096 | SCR_005085 | PDBML: Protein Data Bank Markup Language | 2026-09-03 04:47:44 | 2 | ||||||
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μManager Resource Report Resource Website 100+ mentions |
μManager (RRID:SCR_016865) | microManager | software resource | Software package for control of automated microscopes. Cross-platform desktop application, to control a motorized microscopes, scientific cameras, stages, illuminators, and other microscope accessories. | control, automated, microscope, imaging, Open Imaging |
is listed by: Debian has parent organization: University of California at San Francisco; California; USA is a plug in for: ImageJ |
Sandler Foundation ; NIBIB R01 EB007187 |
Free, Available for download, Freely available | https://micro-manager.org/wiki/Download_Micro-Manager_Latest_Release, https://sources.debian.org/src/micromanager/ | SCR_016865 | Micro-Manager, micro-Manager | 2026-09-03 04:54:04 | 152 | ||||||
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Mediation Analysis of Causality under Confounding Resource Report Resource Website |
Mediation Analysis of Causality under Confounding (RRID:SCR_017442) | MACC | data analysis software, data processing software, software application, software resource | Software package to perform causal mediation analysis under confounding or correlated errors. Includes single level mediation model, two level and three level mediation model for data with hierarchical structures. Under two or three level mediation model, correlation parameter is identifiable and is estimated based on hierarchical likelihood, marginal likelihood or two stage method. | Casual, mediation, analysis, confounding, correlated, error, data, hierarchical, structure, parameter, BRAIN Initiative |
is recommended by: BRAIN Initiative is listed by: CRAN |
NIBIB EB022911 | Free, Available for downloads, Freely available | SCR_017442 | Mediation Analysis of Causality under Confounding, macc | 2026-09-03 04:54:28 | 0 | |||||||
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NEURON Resource Report Resource Website 100+ mentions |
NEURON (RRID:SCR_017449) | simulation software, software application, software resource | Software for computational neurophysiology. Simulation environment is used for building and using computational models of neurons and networks of neurons. NEURON Users Group can participate in collaborative development of documentation, tutorials, and software. | Computational, neurophysiology, model, neuron, network, building, BRAIN Initiative |
is recommended by: BRAIN Initiative has parent organization: Yale University; Connecticut; USA |
NIBIB EB022903 | Free, Available for download, Freely available | https://github.com/neuronsimulator/nrn | SCR_017449 | 2026-09-03 04:54:24 | 244 |
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