生物结构三维光学切片图像的定量图像处理：现状与未来方向

Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions.

作者信息

Holroyd Natalie Aroha, Walsh Claire, Gourmet Lucie, Walker-Samuel Simon

机构信息

Centre for Computational Medicine, University College London, London WC1E 6DD, UK.

Department of Mechanical Engineering, University College London, London WC1E 7JE, UK.

出版信息

Biomedicines. 2023 Mar 15;11(3):909. doi: 10.3390/biomedicines11030909.

DOI:10.3390/biomedicines11030909

PMID:36979887

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10045950/

Abstract

Episcopic imaging using techniques such as High Resolution Episcopic Microscopy (HREM) and its variants, allows biological samples to be visualized in three dimensions over a large field of view. Quantitative analysis of episcopic image data is undertaken using a range of methods. In this systematic review, we look at trends in quantitative analysis of episcopic images and discuss avenues for further research. Papers published between 2011 and 2022 were analyzed for details about quantitative analysis approaches, methods of image annotation and choice of image processing software. It is shown that quantitative processing is becoming more common in episcopic microscopy and that manual annotation is the predominant method of image analysis. Our meta-analysis highlights where tools and methods require further development in this field, and we discuss what this means for the future of quantitative episcopic imaging, as well as how annotation and quantification may be automated and standardized across the field.

摘要

使用高分辨率体表显微镜（HREM）及其变体等技术进行的体表成像，能够在大视野范围内对生物样本进行三维可视化。体表图像数据的定量分析采用了一系列方法。在本系统综述中，我们研究了体表图像定量分析的趋势，并讨论了进一步研究的途径。分析了2011年至2022年间发表的论文，以获取有关定量分析方法、图像标注方法和图像处理软件选择的详细信息。结果表明，定量处理在体表显微镜中越来越普遍，手动标注是图像分析的主要方法。我们的荟萃分析突出了该领域工具和方法需要进一步发展的地方，并讨论了这对定量体表成像未来的意义，以及如何在整个领域实现标注和量化的自动化和标准化。