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用于连续切片数据拼接、对齐和伪影校正的计算方法。

Computational methods for stitching, alignment, and artifact correction of serial section data.

作者信息

Saalfeld Stephan

机构信息

Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA, United States.

出版信息

Methods Cell Biol. 2019;152:261-276. doi: 10.1016/bs.mcb.2019.04.007. Epub 2019 May 23.

Abstract

Imaging large samples at the resolution offered by electron microscopy is typically achieved by sequentially recording overlapping tiles that are later combined to seamless mosaics. Mosaics of serial sections are aligned to reconstruct three-dimensional volumes. To achieve this, image distortions and artifacts as introduced during sample preparation or imaging need to be removed. In this chapter, we will discuss typical sources of artifacts and distortion, and we will learn how to use the open source software TrakEM2 to correct them.

摘要

以电子显微镜提供的分辨率对大样本进行成像,通常是通过顺序记录重叠的图像块来实现的,这些图像块随后会被组合成无缝的拼接图。连续切片的拼接图会进行对齐,以重建三维体积。要实现这一点,需要去除样本制备或成像过程中引入的图像失真和伪像。在本章中,我们将讨论伪像和失真的典型来源,并学习如何使用开源软件TrakEM2来校正它们。

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