高分辨率的主教显微镜:在组织结构和形态的背景下,对基因活性进行高详细的3D分析的快速技术。

Anatomy and Embryology Pub Date : 2006-06-01 Epub Date: 2006-01-21 DOI:10.1007/s00429-005-0073-x
Wolfgang J Weninger, Stefan H Geyer, Timothy J Mohun, Diego Rasskin-Gutman, Takaaki Matsui, Ines Ribeiro, Luciano da F Costa, Juan Carlos Izpisúa-Belmonte, Gerd B Müller
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引用次数: 156

摘要

我们描述了一种新的方法,用于快速二维和三维计算机分析和可视化基因表达和基因产物模式在解剖学和组织结构的背景下。它是基于胚胎和组织样本的基本成像,因为它们是物理切片的,因此产生固有对齐的数字图像系列和体积数据集,这立即允许生成3D计算机表示。该技术使用树脂作为包埋介质,伊红用于非特异性组织染色,颜色反应(β -半乳糖苷酶/Xgal或BCIP/NBT)用于基因活性和mRNA模式的特异性标记。我们测试了该方法在生成成人和猪组织样本以及特异性和非特异性染色小鼠、小鸡、鹌鹑、青蛙和斑马鱼胚胎的高分辨率体积数据集方面的潜力。在分辨率和对比度方面,主教图像的质量类似于真实组织学切片的数字图像的质量。特定标记的结构可以使用简单的阈值算法提取。因此,该方法能够快速准确地同时检测具有解剖细节和组织结构的分子信号。它没有组织限制,可用于分析人体组织样本以及分析各种生物医学相关物种的胚胎的所有发育阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-resolution episcopic microscopy: a rapid technique for high detailed 3D analysis of gene activity in the context of tissue architecture and morphology.

We describe a new methodology for rapid 2D and 3D computer analysis and visualisation of gene expression and gene product pattern in the context of anatomy and tissue architecture. It is based on episcopic imaging of embryos and tissue samples, as they are physically sectioned, thereby producing inherently aligned digital image series and volume data sets, which immediately permit the generation of 3D computer representations. The technique uses resin as embedding medium, eosin for unspecific tissue staining, and colour reactions (beta-galactosidase/Xgal or BCIP/NBT) for specific labelling of gene activity and mRNA pattern. We tested the potential of the method for producing high-resolution volume data sets of adult human and porcine tissue samples and of specifically and unspecifically stained mouse, chick, quail, frog, and zebrafish embryos. The quality of the episcopic images resembles the quality of digital images of true histological sections with respect to resolution and contrast. Specifically labelled structures can be extracted using simple thresholding algorithms. Thus, the method is capable of quickly and precisely detecting molecular signals simultaneously with anatomical details and tissue architecture. It has no tissue restrictions and can be applied for analysis of human tissue samples as well as for analysis of all developmental stages of embryos of a wide variety of biomedically relevant species.

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