原子力显微镜
自动化
生物系统
刚度(电磁)
纳米技术
人口
计算机科学
力场(虚构)
细胞
材料科学
化学
工程类
机械工程
人工智能
生物
复合材料
人口学
生物化学
社会学
作者
Childérick Séverac,Sergio Proa-Coronado,Cécile Formosa‐Dague,Adrián Martínez-Rivas,Étienne Dague
摘要
The method presented in this paper aims to automate Bio-AFM experiments and the recording of force curves. Using this method, it is possible to record forces curves on 1000 cells in 4 hours automatically. To maintain a 4 hour analysis time, the number of force curves per cell is reduced to 9 or 16. The method combines a Jython based program and a strategy for assembling cells on defined patterns. The program, implemented on a commercial Bio-AFM, can center the tip on the first cell of the array and then move, automatically, from cell to cell while recording force curves on each cell. Using this methodology, it is possible to access the biophysical parameters of the cells such as their rigidity, their adhesive properties, etc. With the automation and the large number of cells analyzed, one can access the behavior of the cell population. This is a breakthrough in the Bio-AFM field where data have, so far, been recorded on only a few tens of cells.
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