• DocumentCode
    2955577
  • Title

    3D dendritic spine automatic detection and segmentation through samples obtained by confocal microscopy

  • Author

    Fernandez-Soria, L. ; Sanchez, J.M.P.

  • Author_Institution
    Dept. de Arquitectura y Tecnol. de Sist. Informaticos, Univ. Politec. de Madrid, Boadilla del Monte, Spain
  • fYear
    2012
  • fDate
    2-6 July 2012
  • Firstpage
    699
  • Lastpage
    702
  • Abstract
    Dendritic spines are a small protrusions from a neuron´s dendrite that typically receives input from a single synapse of an axon. We propose an automatic method to obtain dendritic spines parameters, in terms of length, volume, angles and density.
  • Keywords
    image segmentation; medical image processing; microscopy; object detection; 3D dendritic spine automatic detection; 3D dendritic spine segmentation; angles; axon single synapse; confocal microscopy; dendritic spines parameters; density; length; neuron dendrite; volume; Algorithm design and analysis; Deconvolution; Image segmentation; Microscopy; Shape; Skeleton; Software algorithms; Dendritic spines; Marching Cubes; Neuroscience; Segmentation; Watershed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Simulation (HPCS), 2012 International Conference on
  • Conference_Location
    Madrid
  • Print_ISBN
    978-1-4673-2359-8
  • Type

    conf

  • DOI
    10.1109/HPCSim.2012.6266998
  • Filename
    6266998
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2955577