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Software for drift compensation, particle tracking and particle analysis of high-speed atomic force microscopy image series.
Husain, Mohamed; Boudier, Thomas; Paul-Gilloteaux, Perrine; Casuso, Ignacio; Scheuring, Simon.
Afiliação
  • Husain M; U1006 INSERM, Université Aix-Marseille, Parc Scientifique de Luminy, Marseille, F-13009, France.
J Mol Recognit ; 25(5): 292-8, 2012 May.
Article em En | MEDLINE | ID: mdl-22528191
Atomic force microscopy (AFM) image acquisition is performed by raster-scanning a faint tip with respect to the sample by the use of a piezoelectric stage that is guided by a feedback system. This process implies that the resulting images feature particularities that distinguish them from images acquired by other techniques, such as the drift of the piezoelectric elements, the unequal image contrast along the fast- and the slow-scan axes, the physical contact between the tip of nondefinable geometry and the sample, and the feedback parameters. Recently, high-speed AFM (HS-AFM) has been introduced, which allows image acquisition about three orders of magnitude faster (500-100 ms frame rate) than conventional AFM (500 s to 100 s frame rate). HS-AFM produces image sequences, large data sets, which report biological sample dynamics. To analyze these movies, we have developed a software package that (i) adjusts individual scan lines and images to a common contrast and z-scale, (ii) filters specifically those scan lines where increased or insufficient force was applied, (iii) corrects for piezo-scanner drift, (iv) defines particle localization and angular orientation, and (v) performs particle tracking to analyze the lateral and rotation displacement of single molecules.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Software / Microscopia de Força Atômica Idioma: En Revista: J Mol Recognit Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2012 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Software / Microscopia de Força Atômica Idioma: En Revista: J Mol Recognit Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2012 Tipo de documento: Article País de afiliação: França