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一种用于组织学图像配准的稳健方法。

A robust method for alignment of histological images.

作者信息

Bossert Oliver

机构信息

Zoological Institute, Johann Wolfgang Goethe-Universität, Frankfurt/Main, Germany.

出版信息

Comput Methods Programs Biomed. 2005 Apr;78(1):35-8. doi: 10.1016/j.cmpb.2004.12.002.

DOI:10.1016/j.cmpb.2004.12.002
PMID:15780888
Abstract

Determination of reference points is a precondition for reconstruction of serial sections. In the case of comprehensive reconstruction work, manual extraction of the markers may be very time-consuming and may even make such reconstruction impossible. The procedure presented in this contribution allows automatic alignment of histological preparations provided that nuclei or comparable structures extend over several sections and are capable of being extracted using methods of pattern recognition. The method was applied to 50 sections with Nissl staining. The nuclei were extracted from the images and evaluated by application of the algorithm. All image pairs were correctly aligned. An integrated control mechanism ensures automatic detection of incorrectly aligned images.

摘要

确定参考点是连续切片重建的前提条件。在进行全面重建工作时,手动提取标记可能非常耗时,甚至可能使这种重建无法进行。本文介绍的方法能够实现组织学切片的自动对齐,前提是细胞核或类似结构跨越多个切片,并且能够使用模式识别方法进行提取。该方法应用于50张尼氏染色切片。从图像中提取细胞核并应用该算法进行评估。所有图像对均正确对齐。一个集成的控制机制可确保自动检测未正确对齐的图像。

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