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使用基于像素的显微镜图像生成冷冻和解冻植物组织的 3D 重建。

Using Pixel-Based Microscope Images to Generate 3D Reconstructions of Frozen and Thawed Plant Tissue.

机构信息

USDA-ARS and North Carolina State University, Raleigh, NC, USA.

出版信息

Methods Mol Biol. 2020;2156:119-139. doi: 10.1007/978-1-0716-0660-5_10.

DOI:10.1007/978-1-0716-0660-5_10
PMID:32607979
Abstract

Histological analysis of frozen and thawed plants has been conducted for many years but the observation of individual sections only provides a two-dimensional representation of a three-dimensional phenomenon. Currently available optical sectioning techniques for viewing internal structures in three dimensions are either low in resolution or the instrument cannot penetrate deep enough into the tissue to visualize the whole plant. Methods using higher resolution equipment are expensive and often require time-consuming training. In addition, conventional stains cannot be used for optical sectioning techniques. We present a relatively simple and less expensive technique using pixel-based (JPEG) images of conventionally stained histological sections of an Arabidopsis thaliana plant. The technique uses commercially available software to generate a 3D representation of internal structures.

摘要

多年来,人们一直在对冷冻和解冻的植物进行组织学分析,但对单个切片的观察只能提供对三维现象的二维表示。目前用于观察三维内部结构的可用光学切片技术要么分辨率较低,要么仪器无法深入组织内部,无法对整个植物进行可视化。使用更高分辨率设备的方法既昂贵又常常需要耗时的培训。此外,常规染色不能用于光学切片技术。我们提出了一种相对简单且成本较低的技术,使用拟南芥植物常规染色组织学切片的基于像素的(JPEG)图像。该技术使用市售软件生成内部结构的 3D 表示。

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