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    Improving the visualization of electron-microscopy data through optical flow interpolation

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    Type
    Conference Paper
    Authors
    Carata, Lucian
    Shao, Dan
    Hadwiger, Markus cc
    Gröeller, Eduard
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    Visual Computing Center (VCC)
    Date
    2013
    Permanent link to this record
    http://hdl.handle.net/10754/564658
    
    Metadata
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    Abstract
    Technical developments in neurobiology have reached a point where the acquisition of high resolution images representing individual neurons and synapses becomes possible. For this, the brain tissue samples are sliced using a diamond knife and imaged with electron-microscopy (EM). However, the technique achieves a low resolution in the cutting direction, due to limitations of the mechanical process, making a direct visualization of a dataset difficult. We aim to increase the depth resolution of the volume by adding new image slices interpolated from the existing ones, without requiring modifications to the EM image-capturing method. As classical interpolation methods do not provide satisfactory results on this type of data, the current paper proposes a re-framing of the problem in terms of motion volumes, considering the depth axis as a temporal axis. An optical flow method is adapted to estimate the motion vectors of pixels in the EM images, and this information is used to compute and insert multiple new images at certain depths in the volume. We evaluate the visualization results in comparison with interpolation methods currently used on EM data, transforming the highly anisotropic original dataset into a dataset with a larger depth resolution. The interpolation based on optical flow better reveals neurite structures with realistic undistorted shapes, and helps to easier map neuronal connections. © 2011 ACM.
    Citation
    Carata, L., Shao, D., Hadwiger, M., & Groeller, E. (2013). Improving the visualization of electron-microscopy data through optical flow interpolation. Proceedings of the 27th Spring Conference on Computer Graphics - SCCG ’11. doi:10.1145/2461217.2461238
    Publisher
    Association for Computing Machinery (ACM)
    Journal
    Proceedings of the 27th Spring Conference on Computer Graphics - SCCG '11
    Conference/Event name
    27th Spring Conference on Computer Graphics, SCCG 2011
    ISBN
    9781450319782
    DOI
    10.1145/2461217.2461238
    ae974a485f413a2113503eed53cd6c53
    10.1145/2461217.2461238
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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