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Shape analysis and tracking of migrating macrophages

Solis-Lemus, J. A., Stramer, B., Slabaugh, G. G. & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2018). Shape analysis and tracking of migrating macrophages. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 1006-1009. doi: 10.1109/ISBI.2018.8363741


Cell migration is important in many human processes of development and disease. In Cancer, migration can be related to metastasis or cell defects. A precise analysis of the cell shapes in biological studies could lead to insights about migration. Therefore, this paper describes an algorithm to iteratively segment, track and analyse the shape of macrophages from fluorescent microscopy image sequences. This process allows observation of shape variations as the cells migrate. The algorithm identifies and separates overlapping and non-overlapping cells, then for the non-overlapping cases analyses the shape and extracts a series of measurements, including the number of "corner" or pointy edges through a multiscale angle variation matrix, anglegram. The shape evolution algorithm was tested on fluorescently labelled macrophages observed on embryos of Drosophila melanogaster.

Publication Type: Article
Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: Shape evolution, active contours
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: School of Science & Technology > Computer Science > giCentre
School of Science & Technology > Engineering
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