Quantitative analysis of operators’ flow line in the cell culture for controlled manual operation

Introduction: 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. Methods: During a course of...

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Main Authors: Kei Kanie, Hiroto Sasaki, Yurika Ikeda, Masaki Tamada, Fumio Togawa, Ryuji Kato
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:Regenerative Therapy
Online Access:http://www.sciencedirect.com/science/article/pii/S2352320418300695
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spelling doaj-294b0355c2434864b54d28ddc5e07d132020-11-25T02:10:06ZengElsevierRegenerative Therapy2352-32042019-12-01124354Quantitative analysis of operators’ flow line in the cell culture for controlled manual operationKei Kanie0Hiroto Sasaki1Yurika Ikeda2Masaki Tamada3Fumio Togawa4Ryuji Kato5Department of Basic Medicinal Sciences, Graduate School of Pharmaceutical Sciences, Nagoya University, Furocho, Chikusa-ku, Nagoya 464-8601, Japan; Corresponding author. Laboratory of Cell and Molecular Bioengineering, Department of Basic Medicinal Sciences, Graduate School of Pharmaceutical Sciences, Nagoya University, Nagoya 464-8601, Japan. Fax: +81-052-747-6813.Department of Biotechnology, Graduate School of Engineering, Nagoya University, Furocho, Chikusa-ku, Nagoya 464-8602, JapanDepartment of Basic Medicinal Sciences, Graduate School of Pharmaceutical Sciences, Nagoya University, Furocho, Chikusa-ku, Nagoya 464-8601, JapanKOZO KEIKAKU ENGINEERING Inc., 4-5-3 Chuo, Nakano-ku, Tokyo 164-0011, JapanKOZO KEIKAKU ENGINEERING Inc., 4-5-3 Chuo, Nakano-ku, Tokyo 164-0011, JapanDepartment of Basic Medicinal Sciences, Graduate School of Pharmaceutical Sciences, Nagoya University, Furocho, Chikusa-ku, Nagoya 464-8601, Japan; Stem Cell Evaluation Technology Research Association (SCETRA), Hacho-bori, Chuou-ku, Tokyo 104-0032, Japan; Institute of Nano-Life-Systems, Institute for Innovation for Future Society, Nagoya University, Furocho, Chikusa-ku, Nagoya 464-8601, JapanIntroduction: 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. Methods: 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). Results: 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. Conclusions: 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. Keywords: Cell manufacturing, Flow line analysis, Cell culture operation, Quality by design, Subculture operationhttp://www.sciencedirect.com/science/article/pii/S2352320418300695
collection DOAJ
language English
format Article
sources DOAJ
author Kei Kanie
Hiroto Sasaki
Yurika Ikeda
Masaki Tamada
Fumio Togawa
Ryuji Kato
spellingShingle Kei Kanie
Hiroto Sasaki
Yurika Ikeda
Masaki Tamada
Fumio Togawa
Ryuji Kato
Quantitative analysis of operators’ flow line in the cell culture for controlled manual operation
Regenerative Therapy
author_facet Kei Kanie
Hiroto Sasaki
Yurika Ikeda
Masaki Tamada
Fumio Togawa
Ryuji Kato
author_sort Kei Kanie
title Quantitative analysis of operators’ flow line in the cell culture for controlled manual operation
title_short Quantitative analysis of operators’ flow line in the cell culture for controlled manual operation
title_full Quantitative analysis of operators’ flow line in the cell culture for controlled manual operation
title_fullStr Quantitative analysis of operators’ flow line in the cell culture for controlled manual operation
title_full_unstemmed Quantitative analysis of operators’ flow line in the cell culture for controlled manual operation
title_sort quantitative analysis of operators’ flow line in the cell culture for controlled manual operation
publisher Elsevier
series Regenerative Therapy
issn 2352-3204
publishDate 2019-12-01
description Introduction: 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. Methods: 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). Results: 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. Conclusions: 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. Keywords: Cell manufacturing, Flow line analysis, Cell culture operation, Quality by design, Subculture operation
url http://www.sciencedirect.com/science/article/pii/S2352320418300695
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