用Biomek(r) 2000分离和稀释不连续样品的解决方案

Q2 Chemistry
Eleonora M. Hogan, A. Lipnik, Sarah Anstead, R. Kennedy
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引用次数: 0

摘要

编写了一个程序,将96孔存储板中的一组不连续样品以80孔格式传输到存档板中。每天可以用这种方法处理1000个样品。该软件可以处理不同的样本体积,随机样本位置和不同的浓度。该程序在Beckman (Fullerton, CA) Biomek(r) 2000实验室自动化工作站*上实现,使用Beckman的BioScript软件、BioWorks 1.4A、工具命令语言和Microsoft (Redmond, WA) Visual Basic™。该系统为离散样本的选择和传递提供了一种有效的手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Solution for Discontinuous Sample Splitting and Dilution with the Biomek(r) 2000
A program has been written to transfer a set of discontinuous samples in 96-well storage plates to archival plates using an 80-well format. One thousand samples per day can be processed in this manner. The software can handle different sample volumes, random sample locations, and varying concentrations. This program was implemented on a Beckman (Fullerton, CA) Biomek(r) 2000 Laboratory Automation Workstation* using Beckman's BioScript software, BioWorks 1.4A, Tool Command language, and Microsoft (Redmond, WA) Visual Basic™. This system provides an effective means of selecting and transferring discrete samples.
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来源期刊
Journal of Biomolecular Screening
Journal of Biomolecular Screening 生物-分析化学
CiteScore
2.41
自引率
0.00%
发文量
0
审稿时长
4-8 weeks
期刊介绍: Advancing the Science of Drug Discovery: SLAS Discovery reports how scientists develop and utilize novel technologies and/or approaches to provide and characterize chemical and biological tools to understand and treat human disease. SLAS Discovery is a peer-reviewed journal that publishes scientific reports that enable and improve target validation, evaluate current drug discovery technologies, provide novel research tools, and incorporate research approaches that enhance depth of knowledge and drug discovery success. SLAS Discovery emphasizes scientific and technical advances in target identification/validation (including chemical probes, RNA silencing, gene editing technologies); biomarker discovery; assay development; virtual, medium- or high-throughput screening (biochemical and biological, biophysical, phenotypic, toxicological, ADME); lead generation/optimization; chemical biology; and informatics (data analysis, image analysis, statistics, bio- and chemo-informatics). Review articles on target biology, new paradigms in drug discovery and advances in drug discovery technologies. SLAS Discovery is of particular interest to those involved in analytical chemistry, applied microbiology, automation, biochemistry, bioengineering, biomedical optics, biotechnology, bioinformatics, cell biology, DNA science and technology, genetics, information technology, medicinal chemistry, molecular biology, natural products chemistry, organic chemistry, pharmacology, spectroscopy, and toxicology.
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