A subscription to JoVE is required to view this content. Sign in or start your free trial.

Method Article

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

5.6K views

⸱

DOI:

10.3791/57214

⸱

May 4th, 2018

 ,  ,  ,  ,  ,  ,  ,  ,  , 

In This Article

Summary

A graphical user interface for exploring and sharing a database of optogenetically-induced vascular responses in mouse somatosensory cortex in vivo measured by 2-photon microscopy is presented. It allows browsing the data, criteria-based selection, averaging, localization of measurements within a 3D volume of vasculature and exporting the data.

Abstract

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.

Introduction

The brain is considered one of the most intricate organs and the desire to untangle its complex function is unflagging. It is being studied at different scales from the molecular to the behavioral level using a wide palette of tools2,3,4,5,6,7,8. The amount of non-homogeneous experimental data grows with unprecedented speed. The awareness of the need for experimental data sharing, organization and standardization grows with the amount of ....

Access restricted. Please log in or start a trial to view this content.

Protocol

1. Installation of NNE 2.0

  1. Go to UCSD Neurovascular Imaging Laboratory website1 and left-click at ‘NNE 2.0 HDbase v1.0’ to download the zipped program files to the desired location on your PC.
    NOTE: NNE 2.0 requires a Windows-operating system of versions 7-10, at least 2.8 GB of free space to download the zipped file and 6.9 GB to install the program.
  2. Unzip ‘NNE2_HDbase_v1.0.zip’.
    NOTE: The unzipped folder NNE2 contains 10 files: ‘hana_refs.tar.gz’, ‘hana_stk.tar.gz’, ‘maps.tgz’, ‘MCRInstaller.exe’, ‘NNE2.exe’, ’NNE2.zip....

Access restricted. Please log in or start a trial to view this content.

Results

NNE 2.0 and the associate database serve to browse and view the data of the database, sort out the data based on selection criteria, download the selected data, and find the vascular measurements within the corresponding vascular tree.

Panel 1 features selection of data based on categories: 'Cortical Depth', 'Branching Order', 'Baseline Diameter' and 'Subjects' – Figure 1). Please note that in this .......

Access restricted. Please log in or start a trial to view this content.

Discussion

NNE 2.0 was written in order to share the vascular imaging data of a specific study20 but with the intention of developing a simple tool for sharing and exploring data of similar kind by other users. Researchers interested in inspecting the associated database of vascular data may use the GUI to browse the data, select subsets of data, compare them to their own experimental results or process them further using their own computational procedures. Users familiar with MATLAB can utilize directly the.......

Access restricted. Please log in or start a trial to view this content.

Disclosures

The authors have nothing to disclose.

Acknowledgements

We gratefully acknowledge support from the NIH (NS057198, EB00790, MH111359, and S10RR029050) and the Ministry of Education, Youth and Sports of the Czech Republic (CEITEC 2020, LQ1601). KK was supported by postdoctoral fellowships from the International Headache Society in 2014 and The Scientific and Technological Research Council of Turkey in 2015. MT was supported by postdoctoral fellowship from the German Research Foundation (DFG TH 2031/1).

....

Access restricted. Please log in or start a trial to view this content.

Materials

List of materials used in this article
NameCompanyCatalog NumberComments
MATLABMathWorksprogram
WinrarRarlabsprogram

References

  1. Neurovascular Imaging Laboratory. Use Our Data. , UC San Diego School of Medicine. Available from: https://neurosciences.ucsd.edu/research/labs/nil/Pages/UseOurData.aspx (2017).
  2. Craddock, R. C., et al. Imaging human connectomes at the macroscale. Nat Methods. 10 (6), 524-539 (2013).
  3. Devor, A., et al.

Access restricted. Please log in or start a trial to view this content.

Reprints and Permissions

Explore More Articles

Optogenetic VasomotionTwo-Photon MicroscopyVascular Network VisualizationMATLAB GUI ToolCortical Depth AnalysisBranching Order SelectionVessel Diameter MeasurementData Export Function3D Image Stack