ITAV-CNRS, Université de Toulouse, CNRS, Toulouse, France.
ITAV-CNRS, Université de Toulouse, CNRS, Toulouse, France; LAAS-CNRS, Université de Toulouse, CNRS, Toulouse, France; ENCB, Instituto Politécnico Nacional (IPN), Mexico City, Mexico.
J Vis Exp. 2021 Apr 2(170). doi: 10.3791/61315.
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.
本文提出的方法旨在实现生物原子力显微镜实验和力曲线记录的自动化。使用这种方法，可以自动在 4 小时内记录 1000 个细胞的力曲线。为了保持 4 小时的分析时间，每个细胞的力曲线数量减少到 9 或 16。该方法结合了基于 Jython 的程序和一种在定义的模式下组装细胞的策略。该程序在商业生物原子力显微镜上实现，可以将针尖定位在阵列的第一个细胞上，然后自动从一个细胞移动到另一个细胞，同时在每个细胞上记录力曲线。使用这种方法，可以获得细胞的生物物理参数，例如它们的刚性、粘附特性等。通过自动化和分析大量细胞，可以了解细胞群体的行为。这是生物原子力显微镜领域的一个突破，迄今为止，只有几十到几百个细胞的数据被记录。
