数据处理工具在单粒子和单细胞ICP-MS分析中的演变
Michail Ioannis Chronakis1, Björn Meermann1, Marcus von der Au2
1Division 1.1 - Inorganic Trace Analysis, Federal Institute for Materials Research and Testing (BAM), Richard-Willstätter-Straße 11, 12489, Berlin, Germany.
Analytical and bioanalytical chemistry
|September 4, 2024
概括
本综述涵盖了单粒子感应合等离子体质谱 (sp-ICP-MS) 和单细胞ICP-MS (sc-ICP-MS) 的数据分析工具的演变. 它解决了数据处理和用于纳米材料和细胞分析的工具选择方面的挑战.
科学领域:
- 分析化学 分析化学
- 纳米技术纳米技术
- 生物技术是生物技术.
背景情况:
- 单粒子感应合等离子体质谱 (sp-ICP-MS) 对于纳米材料分析至关重要.
- 单细胞ICP-MS (sc-ICP-MS) 对于每细胞种群差异研究至关重要.
- 现有的文献往往忽略了这些技术的数据采集和处理工具的开发.
研究的目的:
- 审查sp-ICP-MS和sc-ICP-MS数据分析工具的演变和当前状态.
- 为了应对与数据处理和工具选择在单粒子和单细胞分析相关的挑战.
- 为分析界提供全面的概述.
主要方法:
- 文献综述,重点关注数据采集和处理工具.
- 分析现有软件和方法的现状.
- 讨论数据分析的挑战和未来方向.
主要成果:
- 对sp-ICP-MS和sc-ICP-MS的数据分析工具正在取得重大进展.
- 数据分析方法的多样性在工具选择和结果比较方面带来了挑战.
- 高效可靠的数据处理对现代研究越来越重要.
结论:
- 需要对单颗粒和单细胞ICP-MS进行标准化和可访问的数据分析工具.
- 弥合数据处理方法的差距将提高这些强大的分析技术的实用性.
- 进一步发展数据分析对于满足先进研究的需求至关重要.
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