Automated Dna Curvature Profile Reconstruction in Atomic Force Microscope Images

نویسندگان

  • Elisa Ficarra
  • Daniele Masotti
  • Luca Benini
  • Michela Milano
  • Anna Bergia
چکیده

An automated algorithm is presented to determine the DNA molecule intrinsic curvature profiles and the molecular spatial orientations in Atomic Force Microscope images. The curvature is composed by static and dynamic contributions. The first one is the intrinsic curvature, vectorial function of the DNA nucletide sequence, while the second one is due to thermal noise. This algorithm allows to reconstruct the intrinsic curvature profile excluding the thermal contribution and detects fragment orientation on AFM image with a percentage of molecular-orientation detection of 96.79 % for molecules with a high curvature peak. The automated approach allows to minimize the processing time compared to semi-automated methods, avoids errors introduced from operator bias and increases the amount of available information.

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تاریخ انتشار 2002