Automated characterization of cellular migration phenomena

C. Beaudry, M. Berens, T. E. Doker, A. Joy, Lina Karam, Z. Lacroix, Jad A. Lutfi, Sai Motoru
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Abstract

A new approach for cell migration analysis is presented from an automated image segmentation and ROI-compression. ROI-compression is accomplished through classical edge detection technique, followed by image opening to help identify the cell-occupied image region. That region is then compressed for better archival and analysis, to more efficiently identify migration rate and dispersion. Combining our approach with compression techniques such as offered by JPEG2000 will enhance the analysis of the images by providing the ability to vary parameters, work on compressed domain including proximity-based clustering of cells and cell count, etc.
细胞迁移现象的自动表征
提出了一种基于自动图像分割和roi压缩的细胞迁移分析新方法。roi压缩是通过经典的边缘检测技术完成的,然后通过图像打开来帮助识别细胞占用的图像区域。然后压缩该区域,以便更好地归档和分析,从而更有效地识别迁移速率和分散。将我们的方法与JPEG2000提供的压缩技术相结合,将通过提供改变参数的能力来增强对图像的分析,在压缩域上工作,包括基于邻近度的细胞聚类和细胞计数等。
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