52 research outputs found

    Increasing secondary resistance to fluoroquinolones amongst Helicobacter pylori in Western Australia

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    Background: The Australian Therapeutic Guidelines does not endorse culture and susceptibility testing prior to salvage therapy for Helicobacter pylorieradication. We wished to determine whether this remains appropriate. Aim: To determine the sensitivity (as minimum inhibitory concentrations, MIC) of H pylorito a range of antibiotics used in salvage therapy over time. Methods: From 2012 to 2017, gastric or duodenal biopsy samples were obtained from 154 patients receiving H pylorieradication therapy. MIC for amoxicillin, clarithromycin, tetracycline, metronidazole, rifampicin and levofloxacinwere measured using standard laboratory techniques. Results: A significant increase from zero to 28% in secondary resistance to levofloxacin amongst H. pyloriin Western Australia was noted over the study period. No corresponding trend was seen with the other antibiotics. Conclusions: These findings suggest that selective use of culture and susceptibility testing may be warranted prior to initiating salvage therapy with levofloxacin

    Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming

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    金沢大学医薬保健研究域医学系Communications between cells in large part drive tissue development and function, as well as disease-related processes such as tumorigenesis. Understanding the mechanistic bases of these processes necessitates quantifying specific molecules in adjacent cells or cell nuclei of intact tissue. However, a major restriction on such analyses is the lack of an efficient method that correctly segments each object (cell or nucleus) from 3-D images of an intact tissue specimen. We report a highly reliable and accurate semi-automatic algorithmic method for segmenting fluorescence-labeled cells or nuclei from 3-D tissue images. Segmentation begins with semi-automatic, 2-D object delineation in a user-selected plane, using dynamic programming (DP) to locate the border with an accumulated intensity per unit length greater that any other possible border around the same object. Then the two surfaces of the object in planes above and below the selected plane are found using an algorithm that combines DP and combinatorial searching. Following segmentation, any perceived errors can be interactively corrected. Segmentation accuracy is not significantly affected by intermittent labeling of object surfaces, diffuse surfaces, or spurious signals away from surfaces. The unique strength of the segmentation method was demonstrated on a variety of biological tissue samples where all cells, including irregularly shaped cells, were accurately segmented based on visual inspection. © 2006 IEEE
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