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

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...

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Detalles Bibliográficos
Autores principales: Holroyd, Natalie Aroha, Walsh, Claire, Gourmet, Lucie, Walker-Samuel, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045950/
https://www.ncbi.nlm.nih.gov/pubmed/36979887
http://dx.doi.org/10.3390/biomedicines11030909
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author Holroyd, Natalie Aroha
Walsh, Claire
Gourmet, Lucie
Walker-Samuel, Simon
author_facet Holroyd, Natalie Aroha
Walsh, Claire
Gourmet, Lucie
Walker-Samuel, Simon
author_sort Holroyd, Natalie Aroha
collection PubMed
description 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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spelling pubmed-100459502023-03-29 Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions Holroyd, Natalie Aroha Walsh, Claire Gourmet, Lucie Walker-Samuel, Simon Biomedicines Review 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. MDPI 2023-03-15 /pmc/articles/PMC10045950/ /pubmed/36979887 http://dx.doi.org/10.3390/biomedicines11030909 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Review
Holroyd, Natalie Aroha
Walsh, Claire
Gourmet, Lucie
Walker-Samuel, Simon
Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions
title Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions
title_full Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions
title_fullStr Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions
title_full_unstemmed Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions
title_short Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions
title_sort quantitative image processing for three-dimensional episcopic images of biological structures: current state and future directions
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045950/
https://www.ncbi.nlm.nih.gov/pubmed/36979887
http://dx.doi.org/10.3390/biomedicines11030909
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