当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い
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700 ジャーナル と 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得
Ji Eun Kwon, Seungyeon Park, Yeong-Ho Cha, Sun Young Park
Cell proliferation occurs via cell division under appropriate conditions, including a controlled cell cycle and cellular homeostasis, and the abrogation of cell proliferation results in pathological states such as cancer and senescence. Cell-based in vitro experiments were conducted in an optimal cell proliferation environment, and the analysis of cell proliferation is a critical tool for exploring cellular homeostasis and developing drugs to modulate cell growth. Although colorimetric assays are limited by the small culture area and the short tracing period and cell counting using a hemocytometer requires multiple plating for each time point to be analyzed, these two methods have been used widely for the analysis of cell proliferation. In this study, we aimed to develop a robust method to detect cell proliferation via an automated microscopic cell-number analysis (AMCA) system to overcome the limitations of traditional methods. In contrast colorimetric assays showed reduced sensitivity with increased cell density, AMCA showed constantly reliable detection. Also, the AMCA system exhibited a comparable cell proliferation trend with the direct whole-cell counting method. In conclusion, we suggest AMCA as an alternative method to analyzing cell proliferation with expanded spatial and culture period conditions and expect AMCA to provide an efficient drug developing experiment.