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Yusuke Azuma,Shuichi Onami 대한의용생체공학회 2014 Biomedical Engineering Letters (BMEL) Vol.4 No.4
In recent years, development of image processing methodshas rapidly progressed to automatically identify spatiotemporaldynamics of embryonic cells in Caenorhabditis elegans. Themethods allow quantitative and high-throughput analysis formolecular dynamics during embryogenesis. In turn, theanalyzed dynamics can be merged onto a reference embryo,providing an integrated view of embryogenesis. This integrationis enabled by invariant embryogenesis of C. elegans, whichis the most unique advantage offered by this organism. Therefore, the key point in the development of the methodsis how to take advantage of this feature. In this article, wereview a series of development of such methods and theirapplications. First, we describe basic image processing methodsthat are the basis for development of cell identificationmethods. Next, we describe methods that have succeeded toidentify cells in images and their performance. Finally, wereview studies that have employed cell identificationmethods to analyze the variability of cellular dynamics, cellcellcontacts and cell fate determination. Together withadvances in imaging technologies to measure moleculardynamics and computational methods to identify suchdynamics with high accuracy, the unique system of invariantembryogenesis in C. elegans will be invaluable to studydevelopmental mechanisms. Therefore, it is important tounderstand the ever developing technologies and theirresults.
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