• DocumentCode
    2837986
  • Title

    The Neuron Navigator: Exploring the information pathway through the neural maze

  • Author

    Lin, Ching-Yao ; Tsai, Kuen-Long ; Wang, Sheng-Chuan ; Hsieh, Chang-Huain ; Chang, Hsiu-Ming ; Chiang, Ann-Shyn

  • Author_Institution
    Nat. Center for High-Performance Comput., Taichung, Taiwan
  • fYear
    2011
  • fDate
    1-4 March 2011
  • Firstpage
    35
  • Lastpage
    42
  • Abstract
    Recent advances in microscopic imaging technology have enabled neuroscientists to obtain unprecedentedly clear images of neurons. To extract additional knowledge from the tangled neurons, for example, their connective relationships, is key to understanding how information is processed and transmitted within the brain. In this paper, we will introduce our recent endeavor, the Neuron Navigator (NNG), which integrates a 3D neuron image database into an easy-to-use visual interface. Via a flexible and user-friendly interface, NNG is designed to help researchers analyze and observe the connectivity within the neural maze and discover possible pathways. With NNG´s 3D neuron image database, researchers can perform volumetric searches using the location of neural terminals, or the occupation of neuron volumes within the 3D brain space. Also, the presence of the neurons under a combination of spatial restrictions can be shown as well. NNG is a result of a multi-discipline collaboration between neuroscientists and computer scientists, and NNG has now been implemented on a coordinated brain space, that being, the Drosophila (fruit fly) brain. NNG is accessible through: http://211.73.64.34/NNG.
  • Keywords
    data visualisation; medical image processing; neurophysiology; user interfaces; visual databases; 3D brain space; 3D neuron image database; Drosophila brain; computer scientist; easy-to-use visual interface; information pathway; microscopic imaging technology; multidiscipline collaboration; neural maze; neuron navigator; neuroscientist; tangled neurons; user friendly interface; Artificial neural networks; Data visualization; Image databases; Neurons; Three dimensional displays; Visualization; 3D image database; connectivity search; neuro-image visualization; neuroscience;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization Symposium (PacificVis), 2011 IEEE Pacific
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-61284-935-5
  • Electronic_ISBN
    978-1-61284-933-1
  • Type

    conf

  • DOI
    10.1109/PACIFICVIS.2011.5742370
  • Filename
    5742370