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  • Research Article   
  • Cell Mol Biol; 2022, Vol 68(1): 223
  • DOI: 10.4172/1165-158X.1000223

An Automated Microscope System to Analyze Cell Proliferation

Ji Eun Kwon, Seungyeon Park, Yeong-Ho Cha and Sun Young Park*
R&D Institute of Welgene Inc., 693, Namcheon-ro, Namcheon-myeon, Gyeongsan-si, Gyeongsangbuk-do, 38695, South Korea
*Corresponding Author : Sun Young Park, R&D Institute of Welgene Inc., 693, Namcheon-ro, Namcheon-myeon, Gyeongsan-si, Gyeongsangbuk-do, 38695, Republic of South Korea, Tel: 82-53-819-8025, Email: sunnypark@clearlab.com

Received Date: Dec 10, 2021 / Accepted Date: Jan 13, 2022 / Published Date: Jan 20, 2022

Abstract

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.

Citation: Kwon JI, Park S, Cha YH, Park SY (2022) An Automated Microscope System to Analyze Cell Proliferation. Cell Mol Biol, 68: 223. Doi: 10.4172/1165-158X.1000223

Copyright: © 2022 Kwon JI, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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