三维质谱成像 (3D MSI):包括顶帽IR-MALDESI和自动z轴校正
Alexandria L Sohn1, John G Witherspoon2, Robert C Smart2,3
1FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA.
使用红外矩阵辅助激光吸附电喷射电离 (IR-MALDESI) 的三维质谱成像 (3D MSI) 得到了新的光学和自动对焦的增强. 这提高了化学分析的深度,并减少了生物组织的采样偏差.
科学领域:
- 分析化学 分析化学
- 生物技术是生物技术.
- 影像科学 影像科学
背景情况:
- 质谱成像 (MSI) 提供空间化学信息.
- 三维MSI (3D MSI) 增加了深度分析,以增强解剖细节.
- 红外矩阵辅助激光吸附电喷离电离 (IR-MALDESI) 为3DMSI提供了一种基于剥离的方法.
研究的目的:
- 在IR-MALDESI平台上通过尽量减少采样偏差来改进3D MSI.
- 整合和优化顶级光学列车和色彩对焦探头 (CA探头) 以提高深度分析.
- 为了证明该方法在小鼠皮肤上的实用性,进行详细的脂质分布分析.
主要方法:
- 集成顶帽光学列车,以实现均的废弃点大小.
- 实现色彩对焦探头 (CA探头) 进行自动z轴校正 (AzC).
- 在小鼠皮肤样本上优化激光能量 (1.3 mJ/burst) 和步骤大小 (120 μm).
主要成果:
- 达到了低于7微米的深度分辨率,与之前的研究相比.
- 顶级的光学列车最小化了高斯式剥离坑.
- 该CA探头成功地保持了激光对样品表面的聚焦.
- 在生物复制品中证明了可重现的脂质注释和丰度测量.
结论:
- 合并的技术显著增强了IR-MALDESI平台上的3D MSI能力.
- 这种优化的方法提供了高分辨率的化学深度分析,减少了采样偏差.
- 该方法适用于皮肤等复杂生物组织中详细的脂质分析.
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