Evaluation of reproducible cryogel preparation based on automated image analysis using deep learning.

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Title: Evaluation of reproducible cryogel preparation based on automated image analysis using deep learning.
Authors: Behrendt F; Laboratory of Organic Chemistry and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Jena, Germany.; Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Jena, Germany., Cseresnyés Z; Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany., Gerst R; Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany.; Institute of Microbiology, Faculty of Biological Sciences, Friedrich Schiller University Jena, Jena, Germany., Gottschaldt M; Laboratory of Organic Chemistry and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Jena, Germany.; Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Jena, Germany., Figge MT; Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany.; Institute of Microbiology, Faculty of Biological Sciences, Friedrich Schiller University Jena, Jena, Germany., Schubert US; Laboratory of Organic Chemistry and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Jena, Germany.; Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Jena, Germany.
Source: Journal of biomedical materials research. Part A [J Biomed Mater Res A] 2023 Nov; Vol. 111 (11), pp. 1734-1749. Date of Electronic Publication: 2023 Jun 22.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: John Wiley & Sons Country of Publication: United States NLM ID: 101234237 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-4965 (Electronic) Linking ISSN: 15493296 NLM ISO Abbreviation: J Biomed Mater Res A Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Behrendt+F%22">Behrendt F</searchLink>; Laboratory of Organic Chemistry and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Jena, Germany.; Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Jena, Germany.<br /><searchLink fieldCode="AU" term="%22Cseresnyés+Z%22">Cseresnyés Z</searchLink>; Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany.<br /><searchLink fieldCode="AU" term="%22Gerst+R%22">Gerst R</searchLink>; Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany.; Institute of Microbiology, Faculty of Biological Sciences, Friedrich Schiller University Jena, Jena, Germany.<br /><searchLink fieldCode="AU" term="%22Gottschaldt+M%22">Gottschaldt M</searchLink>; Laboratory of Organic Chemistry and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Jena, Germany.; Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Jena, Germany.<br /><searchLink fieldCode="AU" term="%22Figge+MT%22">Figge MT</searchLink>; Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany.; Institute of Microbiology, Faculty of Biological Sciences, Friedrich Schiller University Jena, Jena, Germany.<br /><searchLink fieldCode="AU" term="%22Schubert+US%22">Schubert US</searchLink>; Laboratory of Organic Chemistry and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Jena, Germany.; Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena, Jena, Germany.
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  Data: <searchLink fieldCode="JN" term="%22101234237%22">Journal of biomedical materials research. Part A</searchLink> [J Biomed Mater Res A] 2023 Nov; Vol. 111 (11), pp. 1734-1749. <i>Date of Electronic Publication: </i>2023 Jun 22.
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        Value: 10.1002/jbm.a.37577
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      – TitleFull: Evaluation of reproducible cryogel preparation based on automated image analysis using deep learning.
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              Text: 2023 Nov
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