STEREOLOGY, AN UNBIASED METHODOLOGICAL APPROACH TO STUDY PLANT ANATOMY AND CYTOLOGY: PAST, PRESENT AND FUTURE

IF 0.8 4区 计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Image Analysis & Stereology Pub Date : 2017-12-18 DOI:10.5566/IAS.1848
L. Kubínová, B. Radochová, Z. Lhotáková, Zuzana Kubínová, J. Albrechtová
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引用次数: 8

Abstract

This review presents an historical overview of stereological methods used for the quantitative evaluation of plant anatomical and cytological structures. It includes the origins of these methods up to the most recent developments such as the application of stereology based on 3D images. We focus especially on leaf, as the vast majority of studies of plant microscopic structure examine this organ. An overview of plant cell ultrastructure measurements as well as plant anatomical characteristics (e.g. plant tissue volume density, internal leaf surface area, number and mean size of mesophyll cells and chloroplast number), which were estimated by stereological methods most frequently, is presented. We emphasize the importance of proper sampling needed for unbiased measurements. Furthermore, we mention other methods used for plant morphometric studies and briefly discuss their relevance, precision, unbiasedness and efficiency in comparison with unbiased stereology. Finally, we discuss reasons for the sparse use of stereology in plant anatomy and consider the future of stereology in plant research.
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立体学,一种不偏不倚的方法来研究植物解剖学和细胞学:过去,现在和未来
本文综述了用于植物解剖和细胞学结构定量评价的立体学方法的历史概况。它包括这些方法的起源,直到最近的发展,如基于3D图像的立体学应用。我们特别关注叶子,因为绝大多数植物微观结构的研究都是研究这个器官的。概述了植物细胞的超微结构测量以及植物的解剖特征(如植物组织体积密度、叶内表面积、叶肉细胞的数量和平均大小、叶绿体数量),这是最常用的立体学方法估计。我们强调对无偏测量所需的适当抽样的重要性。此外,我们还提到了用于植物形态计量学研究的其他方法,并简要讨论了它们与无偏立体学相比的相关性、准确性、无偏性和效率。最后,我们讨论了体视学在植物解剖学中应用较少的原因,并展望了体视学在植物研究中的未来。
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来源期刊
Image Analysis & Stereology
Image Analysis & Stereology MATERIALS SCIENCE, MULTIDISCIPLINARY-MATHEMATICS, APPLIED
CiteScore
2.00
自引率
0.00%
发文量
7
审稿时长
>12 weeks
期刊介绍: Image Analysis and Stereology is the official journal of the International Society for Stereology & Image Analysis. It promotes the exchange of scientific, technical, organizational and other information on the quantitative analysis of data having a geometrical structure, including stereology, differential geometry, image analysis, image processing, mathematical morphology, stochastic geometry, statistics, pattern recognition, and related topics. The fields of application are not restricted and range from biomedicine, materials sciences and physics to geology and geography.
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