Automated DNA fragments recognition and sizing through AFM image processing

  • Authors:
  • E. Ficarra;L. Benini;E. Macii;G. Zuccheri

  • Affiliations:
  • Politecnico di Torino, Italy;-;-;-

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine
  • Year:
  • 2005

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Abstract

This paper presents an automated algorithm to determine DNA fragment size from atomic force microscope images and to extract the molecular profiles. The sizing of DNA fragments is a widely used procedure for investigating the physical properties of individual or protein-bound DNA molecules. Several atomic force microscope (AFM) real and computer-generated images were tested for different pixel and fragment sizes and for different background noises. The automated approach minimizes processing time with respect to manual and semi-automated DNA sizing. Moreover, the DNA molecule profile recognition can be used to perform further structural analysis. For computer-generated images, the root mean square error incurred by the automated algorithm in the length estimation is 0.6% for a 7.8 nm image pixel size and 0.34% for a 3.9 nm image pixel size. For AFM real images we obtain a distribution of lengths with a standard deviation of 2.3% of mean and a measured average length very close to the real one, with an error around 0.33%.