评估批量校正方法用于大规模质谱对异质组织的成像.
Martin Metodiev1, Alex Dexter1, Weiwei Zhou2
1National Physical Laboratory, Teddington TW11 0LW, U.K.
Analytical chemistry
|January 26, 2026
概括
在质谱成像 (MSI) 中,批量效应阻碍了大型研究. 本研究评估了像素对像素的批量校正方法,以稳定强度变化并提高MSI应用程序的数据可靠性.
科学领域:
- 生物医学成像技术 生物医学成像技术
- 分析化学 分析化学
- 数据科学数据科学数据科学
背景情况:
- 质谱成像 (MSI) 产生空间分辨率的分子数据.
- 技术变化,称为"批量效应",导致与样本组成无关的离子强度波动.
- 这些批量效应限制了MSI在大规模临床和临床前研究中的应用.
研究的目的:
- 为了解决MSI中缺乏标准化的批次校正方法的缺陷.
- 对空间解析的MSI数据进行批量校正策略的有效性进行评估.
- 评估校正对强度变化和空间信息的影响.
主要方法:
- 在MSI数据集中开发并应用像素对像素批量校正技术.
- 评估了不同批次的离子强度波动的稳定性.
- 评估了样本内预期的空间强度变化的保存.
主要成果:
- 证明批量校正可以减少MSI数据中的技术变化.
- 展示了在校正过程中考虑空间数据特征的重要性.
- 为评估MSI纠正方法的有用性提供了一个框架.
结论:
- 批量校正对于在大规模研究中推进MSI至关重要.
- 像素对像素的评估提供了一个强大的方法来评估MSI批次校正.
- 这项工作有助于开发可靠的MSI数据分析管道.
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