Induction and culture in stem cell research is a long-term, dull work. Not only is the labor efficiency low, but the individual's operational differences also make it difficult for the cultured stem cells to reach a standardized level. The Guangzhou Institute of Biomedicine and Health of the Chinese Academy of Sciences (hereinafter referred to as the Guangzhou Institute of Biological Sciences) independently developed the world's first fully automatic stem cell induction culture equipment, which not only replaced a large number of artificial labor, but also realized fully automated cells using machine learning and artificial intelligence technology. Induction. On the 15th, the equipment passed the national acceptance in Guangzhou.
Stem cells can regenerate various cells, tissues or organs of the human body under certain conditions, and thus have broad application prospects in the fields of regenerative medicine. Due to the lack of conventional stem cells, scientists have developed new technologies for induced pluripotent stem cells (iPSC) to address the source of stem cells.
Previously, the stem cell induction, culture and screening process can only be completed by manual operation, it is difficult to standardize and standardize the process, and there are problems such as low efficiency, high cost, low throughput and poor safety. In order to solve these problems, in early 2013, Guangzhou Institute of Biology launched a research project on automatic stem cell induction culture equipment.
“The project team has overcome 8 key technologies and achieved more than 30 innovative results,†said Pan Guangjin, deputy dean of the Guangzhou Institute of Biological Sciences. The newly developed equipment not only replaces the general manual operation, but also has certain characteristics of "intelligent robots". Researcher member Chen Jiekai said that it is highly integrated with modern and advanced technologies such as automation control, artificial intelligence and image recognition. The automated stem cell preparation device is unsupervised, and the intelligent logic algorithm is used as the core control architecture. The whole process can be controlled automatically, and the training process can be monitored by mobile APP. Through the functional testing and trials of many user units such as Huada Gene Research Institute and East China University of Science and Technology, the feasibility and reliability of the equipment were verified.
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