ArticleRegenerative therapy2019
Quantitative analysis of operators' flow line in the cell culture for controlled manual operation.
Article in Regenerative therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Ambient intelligence-based framework for quantitative evaluation of cell culture operations to support standardization and training.Regenerative therapy · 2026Article
- Cross-contamination risk and decontamination during changeover after cell-product processing.Regenerative therapy · 2023Article
- Stress and motivation of cell processing operators: A pilot study of an online questionnaire survey.Regenerative therapy · 2022Article
- A Variable Scheduling Maintenance Culture Platform for Mammalian Cells.SLAS technology · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAlthough 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.
methodsDuring 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).
resultsOur 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.
conclusionsThe 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.
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Registered trials
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