Kanie Kei, Sasaki Hiroto, Ikeda Yurika, Tamada Masaki, Togawa Fumio, Kato Ryuji
Department of Basic Medicinal Sciences, Graduate School of Pharmaceutical Sciences, Nagoya University, Furocho, Chikusa-ku, Nagoya 464-8601, Japan.
Department of Biotechnology, Graduate School of Engineering, Nagoya University, Furocho, Chikusa-ku, Nagoya 464-8602, Japan.
Regen Ther. 2019 May 14;12:43-54. doi: 10.1016/j.reth.2019.04.008. eCollection 2019 Dec 15.
Although cell culture has been widely used in the life sciences, there are still many aspects of this technique that are unclear. In this study, we have focused on the manual operations in the cell culture process and try to analyze the operators' flow line.
During a course of approximately 6 years, we obtained the operators' flow line data from two places (three layouts) and 38 operators (93 subcultures) using two network cameras and a motion detection software (Vitracom SiteView).
Our investigation succeeded in quantifying the flow line of the subculture process and analyzed the time taken to carry out the process, to travel around the workplace. For the subculture process, the total time of the process being rerated the time of the operation in the place where the main operation is performed; the total distance of travel and the counts of travel not being related to the total time of the process. Based on these results, we propose a new way of evaluating the efficiency of cell culture process in terms of time and traveling. We believe that the results of this study can guide cell culture operators in handling cells more efficiently in cell manufacturing processes.
The flow line analysis method suggested by us can record the operators involved and improve the efficiency and consistency of the process; it can, therefore, be introduced in cell manufacturing processes. In addition, this method only requires network cameras and motion detection software, which are inexpensive and can be set up easily.
尽管细胞培养已在生命科学中广泛应用,但该技术仍有许多方面尚不清楚。在本研究中,我们聚焦于细胞培养过程中的手动操作,并试图分析操作人员的流线。
在大约6年的时间里,我们使用两台网络摄像机和一款运动检测软件(Vitracom SiteView),从两个地点(三种布局)的38名操作人员(93次传代培养)获取了操作人员的流线数据。
我们的调查成功地量化了传代培养过程的流线,并分析了进行该过程、在工作场所走动所需的时间。对于传代培养过程,该过程的总时间重新计算为主要操作进行地点的操作时间;总行进距离和行进次数与该过程的总时间无关。基于这些结果,我们提出了一种从时间和行进方面评估细胞培养过程效率的新方法。我们相信本研究结果能够指导细胞培养操作人员在细胞制造过程中更高效地处理细胞。
我们提出的流线分析方法能够记录参与的操作人员,并提高过程的效率和一致性;因此,可引入细胞制造过程。此外,该方法仅需网络摄像机和运动检测软件,成本低廉且易于设置。