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Automated DNA fragments recognition and sizing through AFM image processing

Academic Article
Publication Date:
2005
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 approachminimizes processing time
with respect to manual and semi-automatedDNAsizing. 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%.
Iris type:
01.01 Articolo in rivista
Keywords:
AFM images; DNA secondary structure transition; DNA sizing; image processing; molecular profile extraction.
List of contributors:
Zuccheri, Giampaolo
Handle:
https://iris.cnr.it/handle/20.500.14243/157580
Published in:
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
Journal
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