Fuzzy scaling analysis of a mouse mutant with brain morphological changes

  • Authors:

  • Tuan D. Pham;Catharina C. Müller;Denis I. Crane

  • Affiliations:

  • School of Information Technology and Electrical Engineering, The University of New South Wales, Canberra, A.C.T., Australia;School of Biomolecular and Physical Sciences and Eskitis Institute for Cell and Molecular Therapies, Griffith University, Nathan, Australia;School of Biomolecular and Physical Sciences and Eskitis Institute for Cell and Molecular Therapies, Griffith University, Nathan, Australia

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
  • Year:
  • 2009

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Abstract

Scaling behavior inherently exists in fundamental biological structures, and the measure of such an attribute can only be known at a given scale of observation. Thus, the properties of fractals and power-law scaling have become attractive for research in biology and medicine because of their potential for discovering patterns and characteristics of complex biological morphologies. Despite the successful applications of fractals for the life sciences, the quantitative measure of the scale invariance expressed by fractal dimensions is limited in more complex situations, such as for histopathological analysis of tissue changes in disease. In this paper, we introduce the concept of fuzzy scaling and its analysis of a mouse mutant with postnatal brain morphological changes.