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DOI: 10.3791/51662-v
Please note that some of the translations on this page are AI generated. Click here for the English version.
SIVQ-LCM是一种创新的方法,运用计算机算法,空间不变的矢量量化(SIVQ),驱动激光捕获显微切割(LCM)的过程。该SIVQ-LCM流程大大提高显微切割的速度和精度,以在这两个研究和临床应用中的设置。
该程序的总体目标是将空间不变、矢量量化或 SIVQ 图像分析与激光捕获显微解剖或 LCM 结合使用,以识别感兴趣的组织特征并快速进行定向显微解剖。这是通过首先为 SIVQ 捕获目标组织的图像来实现的。然后进行 SIVQ 分析,并将 SIVQ 注释导入显微切割设备进行处理。
最终,可以通过 S-I-V-Q-L-C-M 分离感兴趣的细胞,用于下游分子分析。与现有方法相比,该技术的主要优点是 S-I-V-Q-L-C-M 简化了选择和显微解剖大目标区域的过程,否则传统激光捕获显微解剖技术将具有挑战性且耗时。演示该程序的是我们实验室的临床研究员 Avi Rosenberg 博士,用于对感兴趣的组织标本进行成像。
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