Hipp Jason D, Cheng Jerome, Hanson Jeffrey C, Rosenberg Avi Z, Emmert-Buck Michael R, Tangrea Michael A, Balis Ulysses J
Laboratory of Pathology, National Cancer Institute, National Institutes of Health.
Department of Pathology, University of Michigan.
J Vis Exp. 2014 Jul 23(89):51662. doi: 10.3791/51662.
SIVQ-LCM is a new methodology that automates and streamlines the more traditional, user-dependent laser dissection process. It aims to create an advanced, rapidly customizable laser dissection platform technology. In this report, we describe the integration of the image analysis software Spatially Invariant Vector Quantization (SIVQ) onto the ArcturusXT instrument. The ArcturusXT system contains both an infrared (IR) and ultraviolet (UV) laser, allowing for specific cell or large area dissections. The principal goal is to improve the speed, accuracy, and reproducibility of the laser dissection to increase sample throughput. This novel approach facilitates microdissection of both animal and human tissues in research and clinical workflows.
SIVQ-LCM是一种新方法,它能使更为传统的、依赖用户的激光切割过程自动化并实现流程简化。其目标是创建一种先进的、可快速定制的激光切割平台技术。在本报告中,我们描述了将图像分析软件空间不变矢量量化(SIVQ)集成到ArcturusXT仪器上的情况。ArcturusXT系统包含红外(IR)和紫外(UV)激光,可进行特定细胞或大面积切割。主要目标是提高激光切割的速度、准确性和可重复性,以增加样本通量。这种新方法有助于在研究和临床工作流程中对动物和人体组织进行显微切割。