Title
Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis.
Abstract
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.
Year
DOI
Venue
2018
10.3390/jimaging4010002
JOURNAL OF IMAGING
Keywords
Field
DocType
segmentation,macrophages,overlapping objects,shape analysis
Computer vision,Multicellular organism,Biological system,Segmentation,Cell migration,Synthetic data,Artificial intelligence,Mathematics,Shape analysis (digital geometry)
Journal
Volume
Issue
Citations 
4
1
1
PageRank 
References 
Authors
0.41
10
4