我們提出一個自動化影像處理與可視化的方法,量化分析老鼠胚胎幹細胞的運動狀態、增殖與附著,使用時間序列共軛焦定時螢光顯微影像,提出一種自動化的方法來確定每一顆細胞核與在細胞群裡面的每一顆細胞的三維邊界,隨著時間序列的影像追蹤細胞與細胞群,以確定細胞與細胞群的運動狀態、增殖與附著,將細胞透過3D介面可視化,將細胞運動狀態、增殖與附著行為用樹狀圖結構來表示,細胞運動狀態、增殖與附著行為的資訊說明培養條件及細胞的位置如何影響運動、增殖以及附著,實驗的結果顯示,該自動化方法可以成功地分析細胞運動狀態、增殖及附著,從而得到一個有潛力的工具對於幫助老鼠胚胎幹細胞的培養。
We present an automatic image processing and visualization method to quantitatively analyze kinematics, proliferation and attachment of mouse embryonic stem (mES) cells using time-series confocal time-lapse fluorescence microscopy images. An automatic method is presented to determine the 3D boundary of each cell nucleus and the cells in each cell colony. The cells and colonies are then tracked among the time-series images to determine the kinematics, proliferation and attachment of the cells and colonies. The cells and colonies are visualized through a 3D interface, and the kinematics, proliferation and attachment are illustrated in tree structures. The kinematics, proliferation and attachment information indicates how the culturing conditions and cell positions affect the cell kinematics, proliferation and attachment. The implementation results show that the automatic method can successfully analyze the cell kinematics, proliferation and attachment, thereby yield a potential tool for helping mES cell culture.