• DocumentCode
    2999040
  • Title

    An Evaluation of Multi-resolution Microscope Slide Scanning Algorithms

  • Author

    Altinay, Doreen ; Bradley, Andrew P.

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, St. Lucia, QLD, Australia
  • fYear
    2011
  • fDate
    6-8 Dec. 2011
  • Firstpage
    319
  • Lastpage
    324
  • Abstract
    In this paper we develop and compare several multi-resolution microscope slide scanning algorithms of increasing complexity. The algorithms utilise a low-resolution image of the whole sample to optimise the high-resolution scan in terms of decreasing the number of field-of-view (FOV) images required. This approach, while commonly applied in microscopy, has never been fully evaluated to quantify expected improvements in scan time when the high-resolution scans are optimised on each sample. In addition, the methods have potential to improve image quality by reducing both image stitching and focus tracking artefacts.
  • Keywords
    computational complexity; image resolution; image scanners; image segmentation; medical image processing; microscopy; optimisation; FOV images; field-of-view images; focus tracking artefacts; high-resolution scan optimisation; image quality; image stitching; low-resolution image; multiresolution microscope slide scanning algorithms; Approximation algorithms; Complexity theory; Image resolution; Image segmentation; Microscopy; Pathology; Shape; high resolution slide scanning; optimisation; virtual microscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing Techniques and Applications (DICTA), 2011 International Conference on
  • Conference_Location
    Noosa, QLD
  • Print_ISBN
    978-1-4577-2006-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2011.60
  • Filename
    6128702