Detail publikačního výsledku

Neurovascular network explorer 2.0: A simple tool for exploring and sharing a database of optogenetically-evoked vasomotion in mouse cortex in vivo

UHLÍŘOVÁ, H.; TIAN, P.; KILIC, K.; THUNEMANN, M.; SRIDHAR, V.; CHMELÍK, R.; BARTSCH, H.; DALE, A.; DEVOR, A.; SAISAN, P.

Originální název

Neurovascular network explorer 2.0: A simple tool for exploring and sharing a database of optogenetically-evoked vasomotion in mouse cortex in vivo

Anglický název

Neurovascular network explorer 2.0: A simple tool for exploring and sharing a database of optogenetically-evoked vasomotion in mouse cortex in vivo

Druh

Článek WoS

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Neurovascular Network Explorer

Klíčová slova v angličtině

Neurovascular Network Explorer

Autoři

UHLÍŘOVÁ, H.; TIAN, P.; KILIC, K.; THUNEMANN, M.; SRIDHAR, V.; CHMELÍK, R.; BARTSCH, H.; DALE, A.; DEVOR, A.; SAISAN, P.

Rok RIV

2019

Vydáno

04.05.2018

ISSN

1940-087X

Periodikum

Jove-Journal of Visualized Experiments

Svazek

2018

Číslo

135

Stát

Spojené státy americké

Strany od

1

Strany do

9

Strany počet

9

URL

BibTex

@article{BUT148123,
  author="Hana {Uhlířová} and Pfeifang {Tian} and Kivilcim {Kilic} and Martin {Thunemann} and Vishnu B. {Sridhar} and Radim {Chmelík} and Hauke {Bartsch} and Anders M. {Dale} and Anna {Devor} and Payam A. {Saisan}",
  title="Neurovascular network explorer 2.0: A simple tool for exploring and sharing a database of optogenetically-evoked vasomotion in mouse cortex in vivo",
  journal="Jove-Journal of Visualized Experiments",
  year="2018",
  volume="2018",
  number="135",
  pages="1--9",
  doi="10.3791/57214",
  issn="1940-087X",
  url="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6101108/"
}