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URL: http://www.nrcam.uchc.edu/
Proper Citation: NRCAM (RRID:SCR_006134)
Description: Biomedical technology research center that develops new technologies for modeling cell biological processes. The technologies are integrated through Virtual Cell, a problem-solving environment built on a central database and disseminated as a Web application for the analysis, modeling and simulation of cell biological processes. NRCAM resides at the Center for Cell Analysis and Modeling, CCAM, and provides a vast array of laboratory equipment that can be used for obtaining experimental data needed to create and enhance Virtual Cell models. Microscopy instrumentation includes three confocal laser scanning microscopes including UV excitation, nonlinear optical microscopy utilizing a titanium sapphire pulsed laser, confocal-based fluorescence correlation spectroscopy, wide-field imaging workstation with cooled CCD and rapid excitation filter wheel, and dual-wavelength spectrofluorometer. Access to the facilities and technical staff is open to all researchers.
Abbreviations: NRCAM
Synonyms: The National Resource for Cell Analysis and Modeling, National Resource of Cell Analysis and Modeling, National Resource of Cell Analysis and Modeling (NRCAM), National Resource for Cell Analysis and Modeling, National Resource of Cell Analysis & Modeling (NRCAM)
Resource Type: training resource, biomedical technology research center, service resource, access service resource
Keywords: modeling, simulation, cell, microscopy, software, biological process, model, cell model, informatics, computing and informatics technology center, FASEB list
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Virtual Cell at the National Resource for Cell Analysis and Modeling |
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Source: SciCrunch Registry
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
