Automated high-throughput image processing as part of the screening platform for personalized oncology.
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| Title: | Automated high-throughput image processing as part of the screening platform for personalized oncology. |
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| Authors: | Schilling MP; Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany. marcel.schilling@kit.edu., El Khaled El Faraj R; Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany., Urrutia Gómez JE; Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany., Sonnentag SJ; Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany., Wang F; Institute for Applied Materials, Karlsruhe Institute of Technology, 76131, Karlsruhe, Germany., Nestler B; Institute for Applied Materials, Karlsruhe Institute of Technology, 76131, Karlsruhe, Germany., Orian-Rousseau V; Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany., Popova AA; Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany., Levkin PA; Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany., Reischl M; Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany. |
| Source: | Scientific reports [Sci Rep] 2023 Mar 29; Vol. 13 (1), pp. 5107. Date of Electronic Publication: 2023 Mar 29. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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