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  1. Article: OME-Zarr: a cloud-optimized bioimaging file format with international community support.

    Moore, Josh / Basurto-Lozada, Daniela / Besson, Sébastien / Bogovic, John / Bragantini, Jordão / Brown, Eva M / Burel, Jean-Marie / Moreno, Xavier Casas / de Medeiros, Gustavo / Diel, Erin E / Gault, David / Ghosh, Satrajit S / Gold, Ilan / Halchenko, Yaroslav O / Hartley, Matthew / Horsfall, Dave / Keller, Mark S / Kittisopikul, Mark / Kovacs, Gabor /
    Yoldaş, Aybüke Küpcü / Kyoda, Koji / de la Villegeorges, Albane le Tournoulx / Li, Tong / Liberali, Prisca / Lindner, Dominik / Linkert, Melissa / Lüthi, Joel / Maitin-Shepard, Jeremy / Manz, Trevor / Marconato, Luca / McCormick, Matthew / Lange, Merlin / Mohamed, Khaled / Moore, William / Norlin, Nils / Ouyang, Wei / Özdemir, Bugra / Palla, Giovanni / Pape, Constantin / Pelkmans, Lucas / Pietzsch, Tobias / Preibisch, Stephan / Prete, Martin / Rzepka, Norman / Samee, Sameeul / Schaub, Nicholas / Sidky, Hythem / Solak, Ahmet Can / Stirling, David R / Striebel, Jonathan / Tischer, Christian / Toloudis, Daniel / Virshup, Isaac / Walczysko, Petr / Watson, Alan M / Weisbart, Erin / Wong, Frances / Yamauchi, Kevin A / Bayraktar, Omer / Cimini, Beth A / Gehlenborg, Nils / Haniffa, Muzlifah / Hotaling, Nathan / Onami, Shuichi / Royer, Loic A / Saalfeld, Stephan / Stegle, Oliver / Theis, Fabian J / Swedlow, Jason R

    bioRxiv : the preprint server for biology

    2023  

    Abstract: A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals and institutes across diverse modalities facing ...

    Abstract A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals and institutes across diverse modalities facing these problems have designed a format specification process (OME-NGFF) to address these needs. This paper brings together a wide range of those community members to describe the cloud-optimized format itself -- OME-Zarr -- along with tools and data resources available today to increase FAIR access and remove barriers in the scientific process. The current momentum offers an opportunity to unify a key component of the bioimaging domain -- the file format that underlies so many personal, institutional, and global data management and analysis tasks.
    Language English
    Publishing date 2023-05-07
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.02.17.528834
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: OME-Zarr: a cloud-optimized bioimaging file format with international community support.

    Moore, Josh / Basurto-Lozada, Daniela / Besson, Sébastien / Bogovic, John / Bragantini, Jordão / Brown, Eva M / Burel, Jean-Marie / Casas Moreno, Xavier / de Medeiros, Gustavo / Diel, Erin E / Gault, David / Ghosh, Satrajit S / Gold, Ilan / Halchenko, Yaroslav O / Hartley, Matthew / Horsfall, Dave / Keller, Mark S / Kittisopikul, Mark / Kovacs, Gabor /
    Küpcü Yoldaş, Aybüke / Kyoda, Koji / le Tournoulx de la Villegeorges, Albane / Li, Tong / Liberali, Prisca / Lindner, Dominik / Linkert, Melissa / Lüthi, Joel / Maitin-Shepard, Jeremy / Manz, Trevor / Marconato, Luca / McCormick, Matthew / Lange, Merlin / Mohamed, Khaled / Moore, William / Norlin, Nils / Ouyang, Wei / Özdemir, Bugra / Palla, Giovanni / Pape, Constantin / Pelkmans, Lucas / Pietzsch, Tobias / Preibisch, Stephan / Prete, Martin / Rzepka, Norman / Samee, Sameeul / Schaub, Nicholas / Sidky, Hythem / Solak, Ahmet Can / Stirling, David R / Striebel, Jonathan / Tischer, Christian / Toloudis, Daniel / Virshup, Isaac / Walczysko, Petr / Watson, Alan M / Weisbart, Erin / Wong, Frances / Yamauchi, Kevin A / Bayraktar, Omer / Cimini, Beth A / Gehlenborg, Nils / Haniffa, Muzlifah / Hotaling, Nathan / Onami, Shuichi / Royer, Loic A / Saalfeld, Stephan / Stegle, Oliver / Theis, Fabian J / Swedlow, Jason R

    Histochemistry and cell biology

    2023  Volume 160, Issue 3, Page(s) 223–251

    Abstract: A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals and institutes across diverse modalities facing ...

    Abstract A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals and institutes across diverse modalities facing these problems have designed a format specification process (OME-NGFF) to address these needs. This paper brings together a wide range of those community members to describe the cloud-optimized format itself-OME-Zarr-along with tools and data resources available today to increase FAIR access and remove barriers in the scientific process. The current momentum offers an opportunity to unify a key component of the bioimaging domain-the file format that underlies so many personal, institutional, and global data management and analysis tasks.
    MeSH term(s) Humans ; Software ; Microscopy ; Community Support
    Language English
    Publishing date 2023-07-10
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1222930-1
    ISSN 1432-119X ; 0301-5564 ; 0948-6143
    ISSN (online) 1432-119X
    ISSN 0301-5564 ; 0948-6143
    DOI 10.1007/s00418-023-02209-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Journal: Chemometric modeling of wastewater treatment processes

    Schuetzle, D. / Koskinen, J.R. / Horsfall, F.L.

    Water Pollution Control Federation. Journal

    1982  Volume 54, Page(s) 457–465

    Abstract: Chemometrische Techniken verwenden ein System von Buendelanalysen und multivalenten Datenanalysen, um einen experimentellen Reinigungsprozess, bestehend aus der mechanischen Klaerung und zwei Teichen, nachzuvollziehen und auf diese Weise grob einen ... ...

    Abstract Chemometrische Techniken verwenden ein System von Buendelanalysen und multivalenten Datenanalysen, um einen experimentellen Reinigungsprozess, bestehend aus der mechanischen Klaerung und zwei Teichen, nachzuvollziehen und auf diese Weise grob einen zweistufigen Prozess zu simulieren. Die chemometrische Methode beschreibt die Effizienz des Systems mit einer Genauigkeit von 94 und 89%. Graphische und mathematische Modelle werden zur Beschreibung des Klaersystems verwendet, um die Parameter herauszufinden, mit deren Hilfe der BSB optimiert werden kann.
    Keywords Abwasserbehandlung ; Abwasserverwertung ; Abwasserteich
    Language English
    Document type Journal
    Database OPAC and Environmental database (ULIDAT) of The Federal Environment Agency (UBA)

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