Search Results - "Gleason, Shaun S."

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  1. 1

    Myosin II Motors and F-Actin Dynamics Drive the Coordinated Movement of the Centrosome and Soma during CNS Glial-Guided Neuronal Migration by Solecki, David J., Trivedi, Niraj, Govek, Eve-Ellen, Kerekes, Ryan A., Gleason, Shaun S., Hatten, Mary E.

    Published in Neuron (Cambridge, Mass.) (16-07-2009)
    “…Lamination of cortical regions of the vertebrate brain depends on glial-guided neuronal migration. The conserved polarity protein Par6α localizes to the…”
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    Journal Article
  2. 2

    High Resolution X-ray Computed Tomography: An Emerging Tool for Small Animal Cancer Research by Paulus, Michael J., Gleason, Shaun S., Kennel, Stephen J., Hunsicker, Patricia R., Johnson, Dabney K.

    Published in Neoplasia (New York, N.Y.) (01-01-2000)
    “…Dedicated high-resolution small animal imaging systems have recently emerged as important new tools for cancer research. These new imaging systems permit…”
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    Journal Article
  3. 3

    Quantitative comparison of mitotic spindles by confocal image analysis by Price, Jeffery R, Aykac, Deniz, Gleason, Shaun S, Chourey, Karuna, Liu, Yie

    Published in Journal of biomedical optics (01-07-2005)
    “…The mitotic spindle is a subcellular protein structure that facilitates chromosome segregation and is crucial to cell division. We describe an image processing…”
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    Journal Article
  4. 4

    Systematic Benchmarking of Aerial Image Segmentation by Yuan, Jiangye, Gleason, Shaun S., Cheriyadat, Anil M.

    Published in IEEE geoscience and remote sensing letters (01-11-2013)
    “…This letter presents a benchmarking study for aerial image segmentation. We construct an image data set consisting of various aerial scenes. Segmentations…”
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    Journal Article
  5. 5

    Automated 3-D tracking of centrosomes in sequences of confocal image stacks by Kerekes, R.A., Gleason, S.S., Trivedi, N., Solecki, D.J.

    “…In order to facilitate the study of neuron migration, we propose a method for 3-D detection and tracking of centrosomes in time-lapse confocal image stacks of…”
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    Conference Proceeding Journal Article
  6. 6

    Fully automated segmentation and characterization of the dendritic trees of retinal horizontal neurons by Kerekes, Ryan A, Gleason, Shaun S, Martins, Rodrigo A P, Dyer, Michael

    “…We introduce a new fully automated method for segmenting and characterizing the dendritic tree of neurons in confocal image stacks. Our method is aimed at…”
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    Conference Proceeding
  7. 7

    Dual modality live cell imaging with multiple-wavelength digital holography and epi-fluorescence by Mann, Christopher J., Bingham, Philip R., Lin, Henry K., Paquit, Vincent C., Gleason, Shaun S.

    Published in 3D research (01-03-2011)
    “…We apply multiple-wavelength digital holography in combination with epi-fluorescence microscopy in order to generate quantitative phase and fluorescence…”
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    Journal Article
  8. 8

    Myosin II Motors and F-Actin Dynamics Drive the Coordinated Movement of the Centrosome and Soma during CNS Glial-Guided Neuronal Migration by Solecki, David J, Trivedi, Niraj, Govek, Eve-Ellen, Kerekes, Ryan A, Gleason, Shaun S, Hatten, Mary E

    Published in Neuron (Cambridge, Mass.) (01-07-2009)
    “…Lamination of cortical regions of the vertebrate brain depends on glial-guided neuronal migration. The conserved polarity protein Par6a localizes to the…”
    Get full text
    Journal Article
  9. 9

    A review of high-resolution X-ray computed tomography and other imaging modalities for small animal research by Paulus, M J, Gleason, S S, Easterly, M E, Foltz, C J

    Published in Lab animal (01-03-2001)
    “…Dedicated high-resolution small animal systems have recently emerged as important new tools for laboratory animal research. These imaging systems permit…”
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    Journal Article
  10. 10

    A New Highly Versatile Multimodality Small Animal Imaging Platform by Gleason, S.S., Austin, D.W., Beach, R.S., Nutt, R., Paulus, M.J., Shikui Yan

    “…A new, highly versatile multi-modality small animal imaging platform, the Siemens Inveon Multimodality (MM) scanner, has been developed. This platform supports…”
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    Conference Proceeding
  11. 11

    A data acquisition and Event Processing Module for small animal SPECT imaging by Atkins, B., Austin, D., Mintzer, R., Siegel, S., Gleason, S.

    “…The Quicksilver event processing module (EPM) designed for the Siemens Inveon Dedicated PET (Positron Emission Tomography) preclinical scanner, has been…”
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    Conference Proceeding
  12. 12

    Design and Performance of a New SPECT Detector for Multimodality Small Animal Imaging Platforms by Austin, D.W., Paulus, M.J., Gleason, S.S., Mintzer, R.A., Siegel, S.B., Figueroa, S.D., Hoffman, T.J., Wall, J.S.

    “…A new detector for single photon emission computed tomography (SPECT) has been developed for the Siemens microCAT reg II and Inveon Multimodality preclinical…”
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    Conference Proceeding
  13. 13

    High Resolution X-ray Computed Tomography: An Emerging Tool for Small Animal Cancer Research1 by Paulus, Michael J, Gleason, Shaun S, Kennel, Stephen J, Hunsicker, Patricia R, Johnson, Dabney K

    Published in Neoplasia (New York, N.Y.) (01-01-2000)
    “…Dedicated high-resolution small animal imaging systems have recently emerged as important new tools for cancer research. These new imaging systems permit…”
    Get full text
    Journal Article
  14. 14
  15. 15

    Using historical wafermap data for automated yield analysis by Tobin, Kenneth W., Karnowski, Thomas P., Gleason, Shaun S., Jensen, David, Lakhani, Fred

    “…To be productive and profitable in a modern semiconductor fabrication environment, large amounts of manufacturing data must be collected, analyzed, and…”
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    Conference Proceeding Journal Article
  16. 16

    Verification & validation of a semantic image tagging framework via generation of geospatial imagery ground truth by Gleason, Shaun S., Dema, Mesfin, Sari-Sarraf, Hamed, Cheriyadat, Anil, Vatsavai, Raju, Ferrell, Regina

    “…As a result of increasing geospatial image libraries, many algorithms are being developed to automatically extract and classify regions of interest from these…”
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    Conference Proceeding