Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions.
Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions.
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DOI：
10.3390/biomedicines11030909
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发表时间：
2023-03-15
期刊：
影响因子：
4.7
通讯作者：
Walker-Samuel, Simon
中科院分区：
文献类型：
--
作者：
Holroyd, Natalie Aroha;Walsh, Claire;Gourmet, Lucie;Walker-Samuel, Simon
使用高分辨率荧光显微镜(HREM)及其变体等技术的流行病成像技术使生物样本能够在大视野内以三维方式可视化。使用一系列方法对电子显微镜图像数据进行了定量分析。在这篇系统的综述中，我们着眼于胃镜图像的定量分析的趋势，并讨论了进一步研究的途径。对2011年至2022年发表的论文进行了分析，详细介绍了定量分析方法、图像标注方法和图像处理软件的选择。结果表明，定量处理在电子显微镜中变得越来越普遍，人工注释是图像分析的主要方法。我们的荟萃分析强调了这一领域的工具和方法需要进一步发展的地方，并讨论了这对定量电子显微镜成像的未来意味着什么，以及如何在整个领域实现注释和量化的自动化和标准化。
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.
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影响因子：
6.4
作者：
Captur G;Mohun TJ;Finocchiaro G;Wilson R;Levine J;Conner L;Lopes L;Patel V;Sado D;Li C;Bassett P;Herrey AS;Tome Esteban MT;McKenna WJ;Seidman CE;Muthurangu V;Bluemke D;Ho CY;Elliott PM;Moon J
通讯作者：
Moon J
影响因子：
2.9
作者：
Reissig LF;Seyedian Moghaddam A;Prin F;Wilson R;Galli A;Tudor C;White JK;Geyer SH;Mohun TJ;Weninger WJ
通讯作者：
Weninger WJ
影响因子：
2.4
作者：
Loomba RS;Tretter JT;Mohun TJ;Anderson RH;Kramer S;Spicer DE
通讯作者：
Spicer DE
影响因子：
3.7
作者：
Zhang X;Aoyama T;Takaishi R;Higuchi S;Yamada S;Kuroki H;Takakuwa T
通讯作者：
Takakuwa T
影响因子：
37.8
作者：
Cerqueira, MD;Weissman, NJ;Verani, MS
通讯作者：
Verani, MS