伴隨著細胞實驗的需求與日俱增，長時間細胞培養需耗費的人力資源也與之增長。儘管市面上已有公司與藥廠共同研發自動化細胞培養系統，但其價格昂貴、體積龐大且操作複雜，並不適用於實驗室細胞研究。本研究旨在建立實驗室用自動化細胞培養系統，期許在細胞繼代培養領域以自動化減少人力和時間上的成本花費。
本系統設計目標主要是能夠同時維持四種貼附式細胞株活性長達一個月，用來即時的提供生醫相關實驗室具活性的細胞。此系統功能包含自動控制細胞繼代程序、細胞培養環境維持、細胞汙染判斷、影像演算法辨識細胞生長面積、即時的雲端資料傳輸等。本系統是以Arduino微處理器來控制自動化繼代培養程序，以Raspberry Pi來處理細胞影像判斷。培養環境使用UV燈進行滅菌，再用二氧化碳和溫濕度感測器控制環境參數。自動化系統操作的部分，首先使用者須親自來到系統前將欲繼代的貼附式細胞、培養皿、medium、trypsin、PBS置入系統中，接下來設定培養溶液和培養環境等相關繼代參數。做完前置作業後系統將會每兩小時掃描拍照細胞生長狀況，並傳送到APP提供使用者觀察。當影像判斷細胞滿盤時系統將會進入繼代換盤程序，完成後再繼續觀察培養。

As the demand for cell experiments increases, more labor for long-term cell culture is required. Although some instrument companies have worked with pharmaceutical companies to develop automated cell culture system, they are very expensive and huge, and the complex operation is not suitable for laboratory cell research. The purpose of this study is to design and develop an automated cell culture system for laboratory. It is expected that the cost of manpower and time spent can be significantly reduced using the designed automated cell subculture system.
The system design goal is to maintain the activity of four kinds of adherent cell lines simultaneously during one month, so that active cells can be immediately available to the laboratory. This system function includes automatic control of cell subculture process, cell culture environment maintenance, cell contamination judgment, image analysis for cell growth area and cloud data transmission. This system uses Arduino microprocessor to control the automated subculture program and uses Raspberry Pi to perform cell image algorithm. A UV lamp is used to sterilize the culture environment, and carbon dioxide, temperature and humidity sensors are utilized to control environmental parameters. Before the beginning of automated cell subculture process, the user must first place the petri dishes along with adherent cells, medium, trypsin and PBS into the system, and then set the subculture parameters such as culture solution and culture environment. When the system is ready, it will scan cells every two hours to check cell growth status, and send the photo to the APP that allows the users to observe. When certain cell confluency is observed through the image algorithm, the system will initiate another subculture program, after which the system continues to observe the cells and monitor the culture process.

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