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  • 1
    Publication Date: 2016-07-08
    Electronic ISSN: 1932-6203
    Topics: Medicine , Natural Sciences in General
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  • 2
    Publication Date: 2017-11-27
    Electronic ISSN: 1932-6203
    Topics: Medicine , Natural Sciences in General
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  • 3
    Publication Date: 2022-05-26
    Description: This article is distributed under the terms of the Creative Commons public domain dedication. The definitive version was published in PLoS One 11 (2016): e0158495, doi:10.1371/journal.pone.0158495.
    Description: The number of fluorescent labels that can unambiguously be distinguished in a single image when acquired through band pass filters is severely limited by the spectral overlap of available fluorophores. The recent development of spectral microscopy and the application of linear unmixing algorithms to spectrally recorded image data have allowed simultaneous imaging of fluorophores with highly overlapping spectra. However, the number of distinguishable fluorophores is still limited by the unavoidable decrease in signal to noise ratio when fluorescence signals are fractionated over multiple wavelength bins. Here we present a spectral image analysis algorithm to greatly expand the number of distinguishable objects labeled with binary combinations of fluorophores. Our algorithm utilizes a priori knowledge about labeled specimens and imposes a binary label constraint on the unmixing solution. We have applied our labeling and analysis strategy to identify microbes labeled by fluorescence in situ hybridization and here demonstrate the ability to distinguish 120 differently labeled microbes in a single image.
    Description: This work was supported by Grant 2007-3- 13 from the Alfred P. Sloan Foundation (to GGB), National Institutes of Health Grant 1RC1-DE020630 from the National Institute of Dental and Craniofacial Research (NIDCR) (to GGB) and by National Institutes of Health Fellowship 1F31-DE019576 from NIDCR (to AMV).
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 4
    Publication Date: 2022-05-26
    Description: © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in PLoS One 12 (2017): e0188257, doi:10.1371/journal.pone.0188257.
    Description: Preservation of three-dimensional structure in the gut is necessary in order to analyze the spatial organization of the gut microbiota and gut luminal contents. In this study, we evaluated preparation methods for mouse gut with the goal of preserving micron-scale spatial structure while performing fluorescence imaging assays. Our evaluation of embedding methods showed that commonly used media such as Tissue-Tek Optimal Cutting Temperature (OCT) compound, paraffin, and polyester waxes resulted in redistribution of luminal contents. By contrast, a hydrophilic methacrylate resin, Technovit H8100, preserved three-dimensional organization. Our mouse intestinal preparation protocol optimized using the Technovit H8100 embedding method was compatible with microbial fluorescence in situ hybridization (FISH) and other labeling techniques, including immunostaining and staining with both wheat germ agglutinin (WGA) and 4', 6-diamidino-2-phenylindole (DAPI). Mucus could be visualized whether the sample was fixed with paraformaldehyde (PFA) or with Carnoy’s fixative. The protocol optimized in this study enabled simultaneous visualization of micron-scale spatial patterns formed by microbial cells in the mouse intestines along with biogeographical landmarks such as host-derived mucus and food particles.
    Description: Funding provided by National Science Foundation (www.nsf.gov) grant 1650141 to J.L.M.W. and National Institutes of Health National Institute of Dental and Craniofacial Research (www.nidcr.nih.gov) grant DE022586 to G.G.B.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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