High-throughput imaging: Focusing in on drug discovery in 3D

التفاصيل البيبلوغرافية
العنوان: High-throughput imaging: Focusing in on drug discovery in 3D
المؤلفون: Kevin L. Quick, Ty C. Voss, Qiong Zhou, Daniel V. LaBarbera, Linfeng Li
المصدر: Methods. 96:97-102
بيانات النشر: Elsevier BV, 2016.
سنة النشر: 2016
مصطلحات موضوعية: 0301 basic medicine, Toxicology screening, Cell Survival, Computer science, Tumor spheroid, Antineoplastic Agents, High throughput imaging, Computational biology, Bioinformatics, Article, General Biochemistry, Genetics and Molecular Biology, Small Molecule Libraries, 03 medical and health sciences, Imaging, Three-Dimensional, Cell Line, Tumor, Spheroids, Cellular, Drug Discovery, Image Processing, Computer-Assisted, Humans, Molecular Biology, Drug discovery, 030104 developmental biology, High-content screening, Hepatocytes, Drug Screening Assays, Antitumor, Software
الوصف: 3D organotypic culture models such as organoids and multicellular tumor spheroids (MCTS) are becoming more widely used for drug discovery and toxicology screening. As a result, 3D culture technologies adapted for high-throughput screening formats are prevalent. While a multitude of assays have been reported and validated for high-throughput imaging (HTI) and high-content screening (HCS) for novel drug discovery and toxicology, limited HTI/HCS with large compound libraries have been reported. Nonetheless, 3D HTI instrumentation technology is advancing and this technology is now on the verge of allowing for 3D HCS of thousands of samples. This review focuses on the state-of-the-art high-throughput imaging systems, including hardware and software, and recent literature examples of 3D organotypic culture models employing this technology for drug discovery and toxicology screening.
تدمد: 1046-2023
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2a0ecede17dd6b1489281202d387e22
https://doi.org/10.1016/j.ymeth.2015.11.013
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....c2a0ecede17dd6b1489281202d387e22
قاعدة البيانات: OpenAIRE