• DocumentCode
    1714855
  • Title

    Myofibril image processing for studying sarcomere dynamics

  • Author

    Fan, Ningping ; Li, C.C. ; Fuchs, Frank

  • Author_Institution
    Pittsburgh Univ., PA, USA
  • fYear
    1988
  • Firstpage
    468
  • Abstract
    An image processing method is presented for automatic measurement of sarcomere length from microscopic images of myofibrils in striated muscle. A consistent measurement of populations of sarcomeres is important to the quantitative understanding of the dynamics of sarcomere shortening in response to changes in physicochemical environment. The method developed is a knowledge-based approach consisting of segmentation of individual A-bands and extraction of myofibrils based on the structural alignment of A-bands. Experimental results are given to illustrate its performance
  • Keywords
    biology computing; computerised pattern recognition; computerised picture processing; knowledge based systems; muscle; A-bands; image processing; knowledge-based approach; microscopic images; myofibrils; physicochemical environment; sarcomere dynamics; segmentation; striated muscle; structural alignment; Chemicals; Electric variables measurement; Image processing; Image segmentation; Length measurement; Muscles; Optical microscopy; Physiology; Pixel; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1988., 9th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    0-8186-0878-1
  • Type

    conf

  • DOI
    10.1109/ICPR.1988.28269
  • Filename
    28269