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Shape analysis and tracking of migrating macrophages

机译:形状分析和迁移巨噬细胞的跟踪

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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.
机译:细胞迁移在许多人类发育和疾病过程中都很重要。在癌症中,迁移可能与转移或细胞缺陷有关。在生物学研究中对细胞形状的精确分析可能会导致有关迁移的见解。因此,本文描述了一种从荧光显微镜图像序列中迭代分割,跟踪和分析巨噬细胞形状的算法。这个过程允许观察细胞迁移时形状的变化。该算法识别并分离重叠和不重叠的像元,然后针对不重叠的情况分析形状并提取一系列测量值,包括通过多尺度角度变化矩阵Anglegram得出的“角”或尖锐边缘的数量。在果蝇果蝇的胚胎上观察到的荧光标记的巨噬细胞上测试了形状演化算法。

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