Search Results - "Goldberg, Ilya G"

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    Pattern recognition software and techniques for biological image analysis by Shamir, Lior, Delaney, John D, Orlov, Nikita, Eckley, D Mark, Goldberg, Ilya G

    Published in PLoS computational biology (24-11-2010)
    “…The increasing prevalence of automated image acquisition systems is enabling new types of microscopy experiments that generate large image datasets. However,…”
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    WND-CHARM: Multi-purpose image classification using compound image transforms by Orlov, Nikita, Shamir, Lior, Macura, Tomasz, Johnston, Josiah, Eckley, D. Mark, Goldberg, Ilya G.

    Published in Pattern recognition letters (01-08-2008)
    “…We describe a multi-purpose image classifier that can be applied to a wide variety of image classification tasks without modifications or fine-tuning, and yet…”
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    Computational image analysis of colony and nuclear morphology to evaluate human induced pluripotent stem cells by Tokunaga, Kazuaki, Saitoh, Noriko, Goldberg, Ilya G., Sakamoto, Chiyomi, Yasuda, Yoko, Yoshida, Yoshinori, Yamanaka, Shinya, Nakao, Mitsuyoshi

    Published in Scientific reports (11-11-2014)
    “…Non-invasive evaluation of cell reprogramming by advanced image analysis is required to maintain the quality of cells intended for regenerative medicine. Here,…”
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    Age-related changes of the retinal microvasculature by Orlov, Nikita V, Coletta, Cristopher, van Asten, Freekje, Qian, Yong, Ding, Jun, AlGhatrif, Majd, Lakatta, Edward, Chew, Emily, Wong, Wai, Swaroop, Anand, Fiorillo, Edoardo, Delitala, Alessandro, Marongiu, Michele, Goldberg, Ilya G, Schlessinger, David

    Published in PloS one (02-05-2019)
    “…Blood vessels of the retina provide an easily-accessible, representative window into the condition of microvasculature. We investigated how retinal vessel…”
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    Bioimage informatics for experimental biology by Swedlow, Jason R, Goldberg, Ilya G, Eliceiri, Kevin W

    Published in Annual review of biophysics (01-01-2009)
    “…Over the past twenty years there have been great advances in light microscopy with the result that multidimensional imaging has driven a revolution in modern…”
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    IICBU 2008: a proposed benchmark suite for biological image analysis by Shamir, Lior, Orlov, Nikita, Mark Eckley, David, Macura, Tomasz J., Goldberg, Ilya G.

    “…New technology for automated biological image acquisition has introduced the need for effective biological image analysis methods. These algorithms are…”
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    Wndchrm - an open source utility for biological image analysis by Shamir, Lior, Orlov, Nikita, Eckley, D Mark, Macura, Tomasz, Johnston, Josiah, Goldberg, Ilya G

    Published in Source code for biology and medicine (08-07-2008)
    “…Biological imaging is an emerging field, covering a wide range of applications in biological and clinical research. However, while machinery for automated…”
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    A rapid, high-throughput, viral infectivity assay using automated brightfield microscopy with machine learning by Dodkins, Rupert, Delaney, John R., Overton, Tess, Scholle, Frank, Frias-De-Diego, Alba, Crisci, Elisa, Huq, Nafisa, Jordan, Ingo, Kimata, Jason T., Findley, Teresa, Goldberg, Ilya G.

    Published in SLAS technology (01-10-2023)
    “…Infectivity assays are essential for the development of viral vaccines, antiviral therapies, and the manufacture of biologicals. Traditionally, these assays…”
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    The actin family protein ARP6 contributes to the structure and the function of the nucleolus by Kitamura, Hiroshi, Matsumori, Haruka, Kalendova, Alzbeta, Hozak, Pavel, Goldberg, Ilya G., Nakao, Mitsuyoshi, Saitoh, Noriko, Harata, Masahiko

    “…The actin family members, consisting of actin and actin-related proteins (ARPs), are essential components of chromatin remodeling complexes. ARP6, one of the…”
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    Computational analysis of morphological and molecular features in gastric cancer tissues by Yasuda, Yoko, Tokunaga, Kazuaki, Koga, Tomoaki, Sakamoto, Chiyomi, Goldberg, Ilya G., Saitoh, Noriko, Nakao, Mitsuyoshi

    Published in Cancer medicine (Malden, MA) (01-03-2020)
    “…Biological morphologies of cells and tissues represent their physiological and pathological conditions. The importance of quantitative assessment of…”
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    Quantitative image analysis reveals distinct structural transitions during aging in Caenorhabditis elegans tissues by Johnston, Josiah, Iser, Wendy B, Chow, David K, Goldberg, Ilya G, Wolkow, Catherine A

    Published in PloS one (30-07-2008)
    “…Aging is associated with functional and structural declines in many body systems, even in the absence of underlying disease. In particular, skeletal muscles…”
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    Loss of the integral nuclear envelope protein SUN1 induces alteration of nucleoli by Matsumoto, Ayaka, Sakamoto, Chiyomi, Matsumori, Haruka, Katahira, Jun, Yasuda, Yoko, Yoshidome, Katsuhide, Tsujimoto, Masahiko, Goldberg, Ilya G, Matsuura, Nariaki, Nakao, Mitsuyoshi, Saitoh, Noriko, Hieda, Miki

    Published in Nucleus (Austin, Tex.) (01-03-2016)
    “…A supervised machine learning algorithm, which is qualified for image classification and analyzing similarities, is based on multiple discriminative…”
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    Biological imaging software tools by Eliceiri, Kevin W, Berthold, Michael R, Goldberg, Ilya G, Ibáñez, Luis, Manjunath, B S, Martone, Maryann E, Murphy, Robert F, Peng, Hanchuan, Plant, Anne L, Roysam, Badrinath, Stuurman, Nico, Swedlow, Jason R, Tomancak, Pavel, Carpenter, Anne E

    Published in Nature methods (01-07-2012)
    “…Representative members of the bioimage informatics community review the computational steps and some of the primary software tools available to biologists who…”
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    The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging by Goldberg, Ilya G, Allan, Chris, Burel, Jean-Marie, Creager, Doug, Falconi, Andrea, Hochheiser, Harry, Johnston, Josiah, Mellen, Jeff, Sorger, Peter K, Swedlow, Jason R

    Published in Genome biology (01-01-2005)
    “…The Open Microscopy Environment (OME) defines a data model and a software implementation to serve as an informatics framework for imaging in biological…”
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    Automatic detection of melanoma progression by histological analysis of secondary sites by Orlov, Nikita V., Weeraratna, Ashani T., Hewitt, Stephen M., Coletta, Christopher E., Delaney, John D., Mark Eckley, D., Shamir, Lior, Goldberg, Ilya G.

    Published in Cytometry. Part A (01-05-2012)
    “…We present results from machine classification of melanoma biopsies sectioned and stained with hematoxylin/eosin (H&E) on tissue microarrays (TMA). The four…”
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    Quantitative measurement of aging using image texture entropy by Shamir, Lior, Wolkow, Catherine A., Goldberg, Ilya G.

    Published in Bioinformatics (01-12-2009)
    “…Motivation: A key element in understanding the aging of Caenorhabditis elegans is objective quantification of the morphological differences between younger and…”
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