La maladie de Parkinson au Canada (serveur d'exploration)

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Intensity fluctuation analysis of cell scattering/imaging with clinical application

Identifieur interne : 000644 ( PascalFrancis/Checkpoint ); précédent : 000643; suivant : 000645

Intensity fluctuation analysis of cell scattering/imaging with clinical application

Auteurs : Raji Subramaniam [États-Unis] ; R. Sullivan [États-Unis] ; P. S. Schneider [États-Unis] ; T. Holden [États-Unis] ; G. Jr Tremberger [États-Unis] ; E. Cheung [États-Unis] ; A. Flamholz [États-Unis] ; D. H. Lieberman [États-Unis] ; T. D. Cheung [États-Unis] ; F. Garcia [États-Unis] ; N. Bewry [États-Unis] ; N. Pennie [États-Unis]

Source :

RBID : Pascal:08-0443317

Descripteurs français

English descriptors

Abstract

Cell scattering produces a speckle pattern, while imaging produces a contrast pattern. This family of fluctuation signals can be studied by analysis techniques such as correlation and fractal dimension. Human breast cell (normal and cancerous) samples were investigated using laser speckle and imaging microscopy. Image data from tetraploid human cell motion and quorum sensing biofilm growth were studied as well, and we found that the signal fluctuations could be interpreted as gene expression fluctuations occurring during inter-cell communication. We have mapped nucleotide sequences as images and studied the fluctuation. We showed that the fractal dimension and correlation can be used for the description of bio-information from the DNA (nanometer) scale to the tissue (millimeter) level. Fluctuations of the HAR1 nucleotide sequence and IRF-6 single-mutation cases in the van der Woude syndrome were discussed. Sub-cell structures such as the 40S ribosome, GroEL, and lysozyme, were shown to carry texture fractal dimension information in their images consistent with their biological states. Clinical applications to X-ray mammography and Parkinson disease MRI data were discussed.


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Pascal:08-0443317

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<title xml:lang="en" level="a">Intensity fluctuation analysis of cell scattering/imaging with clinical application</title>
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