Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo
Language English Country United States Media electronic
Document type Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't, Video-Audio Media
Grant support
R01 EB000790
NIBIB NIH HHS - United States
R01 MH111359
NIMH NIH HHS - United States
R01 NS057198
NINDS NIH HHS - United States
S10 RR029050
NCRR NIH HHS - United States
PubMed
29782006
PubMed Central
PMC6101108
DOI
10.3791/57214
Knihovny.cz E-resources
- MeSH
- Databases, Factual MeSH
- Cerebral Cortex metabolism MeSH
- Mice MeSH
- Neural Networks, Computer MeSH
- Somatosensory Cortex metabolism MeSH
- Vasomotor System pathology MeSH
- Animals MeSH
- Check Tag
- Mice MeSH
- Animals MeSH
- Publication type
- Video-Audio Media MeSH
- Journal Article MeSH
- Research Support, Non-U.S. Gov't 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
Department of Neurosciences University of California San Diego
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