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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
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| Series: | Biomedicines |
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| Online Access: | https://www.mdpi.com/2227-9059/11/3/909 |
| _version_ | 1797613288519892992 |
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| author | Natalie Aroha Holroyd Claire Walsh Lucie Gourmet Simon Walker-Samuel |
| author_facet | Natalie Aroha Holroyd Claire Walsh Lucie Gourmet Simon Walker-Samuel |
| author_sort | Natalie Aroha Holroyd |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T06:53:46Z |
| format | Article |
| id | doaj.art-a06e279e05be49d48a2e50e4b7e8d845 |
| institution | Directory Open Access Journal |
| issn | 2227-9059 |
| language | English |
| last_indexed | 2024-03-11T06:53:46Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomedicines |
| spelling | doaj.art-a06e279e05be49d48a2e50e4b7e8d8452023-11-17T09:47:22ZengMDPI AGBiomedicines2227-90592023-03-0111390910.3390/biomedicines11030909Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future DirectionsNatalie Aroha Holroyd0Claire Walsh1Lucie Gourmet2Simon Walker-Samuel3Centre for Computational Medicine, University College London, London WC1E 6DD, UKCentre for Computational Medicine, University College London, London WC1E 6DD, UKCentre for Computational Medicine, University College London, London WC1E 6DD, UKCentre for Computational Medicine, University College London, London WC1E 6DD, UKEpiscopic 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.https://www.mdpi.com/2227-9059/11/3/909episcopicimagingmicroscopyannotationquantification |
| spellingShingle | Natalie Aroha Holroyd Claire Walsh Lucie Gourmet Simon Walker-Samuel Quantitative Image Processing for Three-Dimensional Episcopic Images of Biological Structures: Current State and Future Directions Biomedicines episcopic imaging microscopy annotation quantification |
| 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 | episcopic imaging microscopy annotation quantification |
| url | https://www.mdpi.com/2227-9059/11/3/909 |
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