Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis
Cell migration is crucial in many processes of development and maintenance of multicellular organisms and it can also be related to disease, e.g., Cancer metastasis, when cells migrate to organs different to where they originate. A precise analysis of the cell shapes in biological studies could lead...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-12-01
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| Series: | Journal of Imaging |
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| Online Access: | https://www.mdpi.com/2313-433X/4/1/2 |
| _version_ | 1811257387002101760 |
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| author | José Alonso Solís-Lemus Brian Stramer Greg Slabaugh Constantino Carlos Reyes-Aldasoro |
| author_facet | José Alonso Solís-Lemus Brian Stramer Greg Slabaugh Constantino Carlos Reyes-Aldasoro |
| author_sort | José Alonso Solís-Lemus |
| collection | DOAJ |
| description | Cell migration is crucial in many processes of development and maintenance of multicellular organisms and it can also be related to disease, e.g., Cancer metastasis, when cells migrate to organs different to where they originate. A precise analysis of the cell shapes in biological studies could lead to insights about migration. However, in some cases, the interaction and overlap of cells can complicate the detection and interpretation of their shapes. This paper describes an algorithm to segment and analyse the shape of macrophages in fluorescent microscopy image sequences, and compares the segmentation of overlapping cells through different algorithms. A novel 2D matrix with multiscale angle variation, called the anglegram, based on the angles between points of the boundary of an object, is used for this purpose. The anglegram is used to find junctions of cells and applied in two different applications: (i) segmentation of overlapping cells and for non-overlapping cells; (ii) detection of the “corners” or pointy edges in the shapes. The functionalities of the anglegram were tested and validated with synthetic data and on fluorescently labelled macrophages observed on embryos of Drosophila melanogaster. The information that can be extracted from the anglegram shows a good promise for shape determination and analysis, whether this involves overlapping or non-overlapping objects. |
| first_indexed | 2024-04-12T17:55:38Z |
| format | Article |
| id | doaj.art-7d7fef3632264a7bbb6079b0f2f68d47 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-04-12T17:55:38Z |
| publishDate | 2017-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-7d7fef3632264a7bbb6079b0f2f68d472022-12-22T03:22:21ZengMDPI AGJournal of Imaging2313-433X2017-12-0141210.3390/jimaging4010002jimaging4010002Segmentation and Shape Analysis of Macrophages Using Anglegram AnalysisJosé Alonso Solís-Lemus0Brian Stramer1Greg Slabaugh2Constantino Carlos Reyes-Aldasoro3School of Mathematics, Computer Science and Engineering, University of London, London EC1V 0HB, UKRandall Division of Cell & Molecular Biophysics, King’s College London, London WC2R 2LS, UKSchool of Mathematics, Computer Science and Engineering, University of London, London EC1V 0HB, UKSchool of Mathematics, Computer Science and Engineering, University of London, London EC1V 0HB, UKCell migration is crucial in many processes of development and maintenance of multicellular organisms and it can also be related to disease, e.g., Cancer metastasis, when cells migrate to organs different to where they originate. A precise analysis of the cell shapes in biological studies could lead to insights about migration. However, in some cases, the interaction and overlap of cells can complicate the detection and interpretation of their shapes. This paper describes an algorithm to segment and analyse the shape of macrophages in fluorescent microscopy image sequences, and compares the segmentation of overlapping cells through different algorithms. A novel 2D matrix with multiscale angle variation, called the anglegram, based on the angles between points of the boundary of an object, is used for this purpose. The anglegram is used to find junctions of cells and applied in two different applications: (i) segmentation of overlapping cells and for non-overlapping cells; (ii) detection of the “corners” or pointy edges in the shapes. The functionalities of the anglegram were tested and validated with synthetic data and on fluorescently labelled macrophages observed on embryos of Drosophila melanogaster. The information that can be extracted from the anglegram shows a good promise for shape determination and analysis, whether this involves overlapping or non-overlapping objects.https://www.mdpi.com/2313-433X/4/1/2segmentationmacrophagesoverlapping objectsshape analysis |
| spellingShingle | José Alonso Solís-Lemus Brian Stramer Greg Slabaugh Constantino Carlos Reyes-Aldasoro Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis Journal of Imaging segmentation macrophages overlapping objects shape analysis |
| title | Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis |
| title_full | Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis |
| title_fullStr | Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis |
| title_full_unstemmed | Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis |
| title_short | Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis |
| title_sort | segmentation and shape analysis of macrophages using anglegram analysis |
| topic | segmentation macrophages overlapping objects shape analysis |
| url | https://www.mdpi.com/2313-433X/4/1/2 |
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