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SFMetrics: an analysis tool for scanning force microscopy images of biomolecules.
Sánchez, Humberto; Wyman, Claire.
Affiliation
  • Sánchez H; Department of Genetics, Erasmus University Medical Center, Rotterdam 3000CA, The Netherlands. h.sanchezgonzalez@erasmusmc.nl.
BMC Bioinformatics ; 16: 27, 2015 Jan 28.
Article in En | MEDLINE | ID: mdl-25627825
ABSTRACT

BACKGROUND:

Scanning force microscopy (SFM) allows direct, rapid and high-resolution visualization of single molecular complexes; irregular shapes and differences in sizes are immediately revealed by the scanning tip in three-dimensional images. However, high-throughput analysis of SFM data is limited by the lack of versatile software tools accessible to SFM users. Most existing SFM software tools are aimed at broad general use from material-surface analysis to visualization of biomolecules.

RESULTS:

We present SFMetrics as a metrology toolbox for SFM, specifically aimed at biomolecules like DNA and proteins, which features (a) semi-automatic high-throughput analysis of individual molecules; (b) ease of use working within MATLAB environment or as a stand-alone application; (c) compatibility with MultiMode (Bruker), NanoWizard (JPK instruments), Asylum (Asylum research), ASCII, and TIFF files, that can be adjusted with minor modifications to other formats.

CONCLUSION:

Assembled in a single user interface, SFMetrics serves as a semi-automatic analysis tool capable of measuring several geometrical properties (length, volume and angles) from DNA and protein complexes, but is also applicable to other samples with irregular shapes.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / DNA / Proteins / Microscopy, Atomic Force / Imaging, Three-Dimensional Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2015 Type: Article Affiliation country: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / DNA / Proteins / Microscopy, Atomic Force / Imaging, Three-Dimensional Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2015 Type: Article Affiliation country: Netherlands