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http://www.njbiomaterials.org/resbio_main.htm

Biomedical technology research center that works to develop integrated tools and technologies that advance the discovery of polymeric biomaterials for regenerative medicine, the delivery of biological agents, and the next generation of medical implants. To achieve its mission, RESBIO's research is focused on the development of combinatorial and computational approaches to biomaterials design and optimization. Within this framework, RESBIO employs and uses: * Advanced multi-photon confocal laser microscopy to explore, understand, and control the response of cells in contact with artificial surfaces * Electron microscopy techniques to study the effect of nano-scale surface morphological features on cell behavior RESBIO research emphasizes the integration of a strong synthetic effort to create new biomaterial candidates with the development of rapid screening techniques for key material and biological properties relevant to the performance of a biomaterial in a given medical application.

Proper citation: RESBIO (RRID:SCR_001424) Copy   

•   Source: SciCrunch Registry

https://www.med.upenn.edu/CAMIPM/

Biomedical technology research center dedicated to the development and application of innovative, novel magnetic resonance and optical imaging techniques. The facility's core sections provide research and computing resources for numerous user, collaborative, and training projects. The focus of this resource is on developing instrumentation, methodologies, and data analysis techniques for the quantitative assessment of functional, structural, and metabolic parameters in humans with the use of multinuclear magnetic resonance, novel spectral, perfusion, functional, and optical imaging techniques. These technological developments are driven by collaboration with scientists from within and outside University of Pennsylvania, the primary institution. Specifically, the Resource is focused on the development of quantitative, noninvasive MR and optical imaging based biomarkers for studying tissue metabolism and function, with an eye towards clinical translation through early diagnosis. The Center also provides support in the development and evaluation of new therapies in a variety of diseases.

Proper citation: Center for Magnetic Resonance and Optical Imaging (RRID:SCR_001428) Copy   

•   Source: SciCrunch Registry

http://www.ncigt.org/

Biomedical Technology Resource Center that serves as a national resource for all aspects of research into medical procedures that are enhanced by imaging. Its common goal is to provide more effective patient care. The center is focused on the multidisciplinary development of innovative image-guided intervention technologies to enable effective, less invasive clinical treatments that are not only more economical, but also produce better results for patients. The NCIGT is helping to implement this vision by serving as a proving ground for some of the next generation of medical therapies.

Proper citation: National Center for Image-Guided Therapy (RRID:SCR_001419) Copy   

•   Source: SciCrunch Registry

https://simtk.org/home/feature

A suite of automated tools that examine biological molecules and produces useful representations of the key biophysical and biochemical features of these structures that are critical for understanding function. The utility of this system extends from medical / pharmaceutical applications (model-based drug design, comparing pharmacological activities) to industrial applications (understanding structural stability, protein engineering). The FEATURE code is made available, without too much support, to any interested scientists. Audience: Researchers interested in identifying functional sites in protein structures. Long Term Goals and Related Uses: Enable improved functional site prediction.

Proper citation: FEATURE (RRID:SCR_002648) Copy   

•   Source: SciCrunch Registry

http://omicsoft.com/osa/

A fast and accurate alignment tool for RNA-Seq data.

Proper citation: Omicsoft Sequence Aligner (RRID:SCR_005270) Copy   

•   Source: SciCrunch Registry

http://www.timelogic.com/catalog/799/velocimapper

Accelerated alignment tool for mapping data from next-generation DNA sequencing systems. It runs on TimeLogic''s newest FPGA-based DeCypher J-Series Similarity Search Engine Accelerator to provide fast and reliable results that significantly outperform software-only or GPU-accelerated alternatives.

Proper citation: VelociMapper (RRID:SCR_005262) Copy   

•   Source: SciCrunch Registry

http://www.panlab.com/panlabWeb/Software/php/displaySoft.php?nameSoft=SMART%20VIDEO-TRACKING

Software for the automated evaluation of behavior in a range of pre-clinical and neuroscience applications in basic and clinical psychopharmacology. Applications include phenotype characterization and studying the behavioral effects of pharmacologic substances.

Proper citation: SMART Video-tracking (RRID:SCR_002852) Copy   

•   Source: SciCrunch Registry

http://www.sigmaplot.com/products/sigmaplot/

Statistical analysis and scientific graphing software for Windows OS.

Proper citation: SigmaPlot (RRID:SCR_003210) Copy   

•   Source: SciCrunch Registry

http://www.mcw.edu/EPRCenter.htm

Biomedical technology research center focusing on technological innovation and application of new techniques to biological problems. The main areas of research are free radicals, spin labeling, metal complexes, and metallo proteins. Spectrometers are available for S-, X-, L-, Q- , and W-band EPR, many with ENDOR, ELDOR, saturation-transfer, saturation-recovery, and multiquantum capabilities. * Development of multiquantum Q- and W-band spectrometers, including multiquantum ELDOR, development of time-locked sub-sampling (TLSS) for broadband detection of periodically modulated signals * Development of loop-gap resonators using finite element modeling of Maxwell''s equations * Application of multifrequency (1 to 100 GHz) electron paramagnetic resonance (EPR) to characterize paramagnetic centers * Study of relaxation processes using multifrequency pulse saturation recovery * Use of nitroxide radical spin labels to measure translational and rotational diffusion in biological systems, site-directed spin labeling (SDSL), and use of EPR for the detection of nitric oxide and oxy radicals

Proper citation: National Biomedical Electron Paramagnetic Resonance Center (RRID:SCR_006601) Copy   

•   Source: SciCrunch Registry

http://www.pathxl.com/pathxl-research/pathxl-tma

Tissue microarray (TMA) Software used for Biomarker Discovery that allows TMA experiments to be performed anytime, anywhere, reducing administrative costs and time. It is designed to support TMA scoring workflow and allows configuration of experiments in minutes. Access and view clinical metadata, the TMA core, scoring criteria and the TMA map all on a single interface.

Proper citation: PathXL TMA (RRID:SCR_005596) Copy   

•   Source: SciCrunch Registry

http://www.remedyinformatics.com/

Software to harmonize the data that you have in different Excel files, databases, repositories, biospecimen applications, etc. and maps it to one common registry. Remedy Informatics' platform aggregates data from multiple sources, harmonizes the data via Ontology, and provides data visualization and pattern recognition and querying tools.

Proper citation: Registry Builder Data Harmonization and Aggregation Tool (RRID:SCR_006559) Copy   

•   Source: SciCrunch Registry

http://nrnb.org/index.html

Biomedical technology research center that develops new algorithms, visualizations and conceptual frameworks to study biological networks at multiple levels and scales, from protein-protein and genetic interactions to cell-cell communication and vast social networks. They are developing freely available, open-source suite of software technology that broadly enables network-based visualization, analysis, and biomedical discovery for NIH-funded researchers. This software is enabling researchers to assemble large-scale biological data into models of networks and pathways and to use these networks to better understand how biological systems operate under normal conditions and how they fail in disease. The National Resource for Network Biology is organized around the following key components: Technology Research and Development, Driving Biomedical Projects, Outreach, Training and Dissemination of Tools. The NRNB supports several types of training events, including both virtual and live workshops; tutorials sessions for clinicians, biologists and bioinformaticians; presentations and demonstrations at conferences; online tutorials and webcasts; and annual symposium.

Proper citation: National Resource for Network Biology (RRID:SCR_004259) Copy   

•   Source: SciCrunch Registry

http://www.dnabaser.com/download/chromatogram-explorer/

A Windows Explorer clone dedicated to DNA sequence analysis and manipulation. View, edit, and convert chromatograms. Trim low quality ends automatically. The Lite version of Chromatogram Explorer is freeware.

Proper citation: DNA Chromatogram Explorer (RRID:SCR_005585) Copy   

•   Source: SciCrunch Registry

http://depts.washington.edu/yeastrc/

Biomedical technology research center that (1) exploits the budding yeast Saccharomyces cerevisiae to develop novel technologies for investigating and characterizing protein function and protein structure (2) facilitates research and extension of new technologies through collaboration, and (3) actively disseminates data and technology to the research community. Through collaboration, the YRC freely provides resources and expertise in six core technology areas: Protein Tandem Mass Spectrometry, Protein Sequence-Function Relationships, Quantitative Phenotyping, Protein Structure Prediction and Design, Fluorescence Microscopy, Computational Biology.

Proper citation: Yeast Resource Center (RRID:SCR_007942) Copy   

•   Source: SciCrunch Registry

http://nac.spl.harvard.edu/

Biomedical Technology Resource Center that develops image processing and analysis techniques for basic and clinical neurosciences. The NAC research approach emphasizes both specific core technologies and collaborative application projects. The core activity of the center is the development of algorithms and techniques for postprocessing of imaging data. New segmentation techniques aid identification of brain structures and disease. Registration methods are used for relating image data to specific patient anatomy or one set of images to another. Visualization tools allow the display of complex anatomical and quantitative information. High-performance computing hardware and associated software techniques further accelerate algorithms and methods. Digital anatomy atlases are developed for the support of both interactive and algorithmic computational tools. Although the emphasis of the NAC is on the dissemination of concepts and techniques, specific elements of the core software technologies have been made available to outside researchers or the community at large. The NAC's core technologies serve the following major collaborative projects: Alzheimer's disease and the aging brain, morphometric measures in schizophrenia and schizotypal disorder, quantitative analysis of multiple sclerosis, and interactive image-based planning and guidance in neurosurgery. One or more NAC researchers have been designated as responsible for each of the core technologies and the collaborative projects.

Proper citation: Neuroimage Analysis Center (RRID:SCR_008998) Copy   

•   Source: SciCrunch Registry

http://proteomics.ucsd.edu/

Biomedical technology research center that focuses on the computational bottlenecks that impair the interpretation of data, bringing modern algorithmic approaches to mass spectrometry and building a new generation of reliable, open-access software tools to support both new mass spectrometry instrumentation and emerging applications.

Proper citation: Center for Computational Mass Spectrometry (RRID:SCR_008161) Copy   

•   Source: SciCrunch Registry

http://msr.dom.wustl.edu/

Biomedical technology research center that develops mass spectrometry-based tools for the study of proteins, lipids and metaboilites. These include biomarker identification, stable isotope mass spectrometry and the analysis of intact proteins. Our goals are: * to conduct basic research in the science of mass spectrometry * to establish collaborative research projects with scientists at WU and at other institutions * to provide a service in mass spectrometry * to educate and train students in mass spectrometry * to disseminate results of our research and descriptions of the subject of mass spectrometry

Proper citation: NIH / NCRR Mass Spectrometry Resource Washington University in St. Louis (RRID:SCR_009009) Copy   

•   Source: SciCrunch Registry

http://glycotech.ccrc.uga.edu/

Biomedical technology research center that develops technologies to increase understanding of the molecular basis of the involvement of carbohydrates in protein-carbohydrate interactions in disease and to develop more powerful technologies necessary to achieve this goal. Complex carbohydrates play an important role in many biomedically important processes, including inflammatory response, hormone action, malignancy, viral and bacterial infections and cell differentiation. The resource combines complimentary technologies: synthetic chemistry, nuclear magnetic resonance, mass spectrometry, computational biology, protein expression and cell-based assays. As new technologies are developed, application to these processes will be pursued through collaborative and service projects.

Proper citation: Resource for Integrated Glycotechnology (RRID:SCR_009008) Copy   

•   Source: SciCrunch Registry

http://cell.ccrc.uga.edu/world/glycomics/glycomics.php

Biomedical technology research center that develops and implements new technologies to investigate the glycome of cells, including glycoproteomics and glycoconjugate analysis, transcript analysis and bioinformatics. It develops the tools and technology to analyze in detail the glycoprotein and glycolipid expression of mouse embryonic stem cells and the cells into which they differentiate. The technology developed in the Center will allow an understanding of how glycosylation is controlled during differentiation and will allow the development of tools to promote the use of stem cells to treat human disease. In addition, the technology developed will be applicable to the study of other cell types, including cancer cells that are progressing to a more invasive phenotype. The technology developed will also allow others in the scientific community to participate in glycomics research through dissemination of the new methods developed and through the analytical services provided by the resource to other scientists requesting assistance in glycomic analyses.

Proper citation: Integrated Technology Resource for Biomedical Glycomics (RRID:SCR_009003) Copy   

•   Source: SciCrunch Registry

http://www-ssrl.slac.stanford.edu/content/science/ssrl-smb-program

Biomedical technology research center that operates as a integrated center with three primary areas (or cores) of technological research and development and scientific focus: macromolecular crystallography (MC), X-ray absorption spectroscopy (XAS) and small-angle X-ray scattering/diffraction (SAXS) . Central to the core technological developments in all three areas is the development and utilization of improved detectors and instrumentation, especially to be able to take maximum advantage of the high brightness of SSRL?s third-generation synchrotron X-ray storage ring (SPEAR3). A primary focus is the use of enhanced computing and data management tools to provide more user-friendly, real-time and on-line instrumentation control, including full remote access for crystallography, data reduction and analysis.

Proper citation: SSRL Structural Molecular Biology (RRID:SCR_009000) Copy   

•   Source: SciCrunch Registry