Holroyd, Natalie Aroha;
Walsh, Claire;
Gourmet, Lucie;
Walker-Samuel, Simon;
(2023)
Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions.
Biomedicines
, 11
(3)
, Article 909. 10.3390/biomedicines11030909.
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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.
Type: | Article |
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Title: | Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions |
Location: | Switzerland |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3390/biomedicines11030909 |
Publisher version: | https://doi.org/10.3390/biomedicines11030909 |
Language: | English |
Additional information: | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | annotation, episcopic, imaging, microscopy, quantification |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging |
URI: | https://discovery.ucl.ac.uk/id/eprint/10168042 |



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