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Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
H. Uhlirova, P. Tian, K. Kılıç, M. Thunemann, VB. Sridhar, R. Chmelik, H. Bartsch, AM. Dale, A. Devor, PA. Saisan,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem, audiovizuální média
PubMed Central od 2006 do 2018
Europe PubMed Central od 2006 do 2018
Odkazy
PubMed
29782006
DOI
10.3791/57214
Knihovny.cz E-zdroje
- MeSH
- databáze faktografické MeSH
- mozková kůra metabolismus MeSH
- myši MeSH
- neuronové sítě (počítačové) MeSH
- somatosenzorické korové centrum metabolismus MeSH
- vazomotorický systém patologie MeSH
- zvířata MeSH
- Check Tag
- myši MeSH
- zvířata MeSH
- Publikační typ
- audiovizuální média MeSH
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
The importance of sharing experimental data in neuroscience grows with the amount and complexity of data acquired and various techniques used to obtain and process these data. However, the majority of experimental data, especially from individual studies of regular-sized laboratories never reach wider research community. A graphical user interface (GUI) engine called Neurovascular Network Explorer 2.0 (NNE 2.0) has been created as a tool for simple and low-cost sharing and exploring of vascular imaging data. NNE 2.0 interacts with a database containing optogenetically-evoked dilation/constriction time-courses of individual vessels measured in mice somatosensory cortex in vivo by 2-photon microscopy. NNE 2.0 enables selection and display of the time-courses based on different criteria (subject, branching order, cortical depth, vessel diameter, arteriolar tree) as well as simple mathematical manipulation (e.g. averaging, peak-normalization) and data export. It supports visualization of the vascular network in 3D and enables localization of the individual functional vessel diameter measurements within vascular trees. NNE 2.0, its source code, and the corresponding database are freely downloadable from UCSD Neurovascular Imaging Laboratory website1. The source code can be utilized by the users to explore the associated database or as a template for databasing and sharing their own experimental results provided the appropriate format.
Bioengineering Undergraduate Program University of California San Diego
Central European Institute of Technology Brno University of Technology
Department of Biomedical Engineering Boston University
Department of Neurosciences University of California San Diego
Department of Physics John Carroll University
Department of Radiology University of California San Diego
Institute of Physical Engineering Faculty of Mechanical Engineering Brno University of Technology
Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School
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