隨著科技的發展,自動化細胞培養系統已逐漸取代傳統的人工細胞養殖方法,利用機器不間斷進行重複動作的特性,提升細胞養殖效率,不但可以降低專業人員因重複動作所造成之職業傷害以及高工時問題,還可使研究人員進行其他機器無法取代之工作。然而,目前市面上自動化細胞養殖系統尚未達到完全的自動化,仍有些許動作需要人工進行輔助判斷。幹細胞又屬一種具有淺在功能的細胞,經由特殊刺激可使其分化成各種特定組織,可幫助器官組織上之修復。 綜合以上,本論文欲提升幹細胞培養系統之自動化程度,將原需由人工進行輔助判斷之工作利用數位運算方式取代,藉由機器視覺搭配影像處理中特徵處理方式針對幹細胞分化與否進行辨識,並將眾辨識結果縫合成一大範圍之影像,最後搭配機器人將欲移除幹細胞進行移除。
Nowadays, automatic cell culture system is more common. It can increase efficiency of cell culture due to extending working time. Moreover, the system can still reduce the occupational injury due to repetitive work for researcher and solve the problem of excessive working hours. However, there are still some works that need to be finished by human in the system. Hence, the system hasn’t been fully automatic. Also, stem cell is one kind of cell which can differentiate into various type of cells. Therefore, there are more and more stem cell treatments showing up. It indicates the importance of stem cell in 21st century. Above all, the thesis plans to improve the automation of automatic stem cell culture system. To construct a fully automatic stem cell culture system, I use image processing to do the identification instead of artificial way. After stem cells are identified, image stitching is used to show the distribution of large area cell. Last but not least, I use a robot with machine vision to remove those cells which have already recognized.