• DocumentCode
    3275132
  • Title

    Three-dimensional alignment and merging of confocal microscopy stacks

  • Author

    Ramesh, Nisha ; Otsuna, Hideo ; Tasdizen, Tolga

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    1447
  • Lastpage
    1450
  • Abstract
    We describe an efficient, robust, automated method for image alignment and merging of translated, rotated and flipped con-focal microscopy stacks. The samples are captured in both directions (top and bottom) to increase the SNR of the individual slices. We identify the overlapping region of the two stacks by using a variable depth Maximum Intensity Projection (MIP) in the z dimension. For each depth tested, the MIP images gives an estimate of the angle of rotation between the stacks and the shifts in the x and y directions using the Fourier Shift property in 2D. We use the estimated rotation angle, shifts in the x and y direction and align the images in the z direction. A linear blending technique based on a sigmoidal function is used to maximize the information from the stacks and combine them. We get maximum information gain as we combine stacks obtained from both directions.
  • Keywords
    Fourier transforms; biology computing; biomedical engineering; image fusion; optical microscopy; 2D Fourier shift property; 3D image alignment; 3D image merging; MIP images; SNR; flipped confocal microscopy stacks; linear blending technique; rotated confocal microscopy stacks; rotation angle estimation; sigmoidal function; stack overlapping region identification; translated confocal microscopy stacks; variable depth maximum intensity projection; Confocal Microscopy; Fourier Shift Theorem; Maximum Intensity Projection; Zebrafish;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738297
  • Filename
    6738297