Robotic Research Laboratory, Center of Excellence in Experimental Solid Mechanics and Dynamics, School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran.
Microsc Res Tech. 2021 Sep;84(9):2119-2129. doi: 10.1002/jemt.23767. Epub 2021 May 11.
Significant capabilities of atomic force microscopy (AFM) such as operating in various environments and scales made it a useful device in different operations. According to AFM abilities and applications, in this work, the path through the live environment with fixed and moving obstacles that are distributed all over the space randomly has been provided. The optimized path has been discovered in this article based on the applications mentioned above. Since for biological applications, the tool's accuracy plays an important role in success and reliability of the operation, in this article, the cost function is defined as combination of the tool's error, the maximum applied force on the tool, and the maximum deformation of the particle to be minimized. In this regard, constraints which limit the particle's motion and speed such as critical force and time and the maximum applied force have been considered. While in living environment obstacle existence is possible, fixed and moving obstacles with random profile and distribution will be considered. Routing of viscoelastic particle considering above conditions has been performed and comparison with the previous works proved the correctness of the path. The effects of different constraints have been compared using path optimization in different situations. The time of path planning for critical force and time was about 117.657, for the maximum applied force 118.240, and for all constraints together was 120.540 s which shows that the applied force constraint has been more effective than others and increases path planning time.
原子力显微镜(AFM)具有操作环境多样、尺度可调等重要性能,使其成为各种操作中的有用工具。根据 AFM 的能力和应用,在这项工作中,提供了一条通过具有固定和移动障碍物的活体环境的路径,这些障碍物随机分布在整个空间中。本文基于上述应用,发现了优化路径。由于对于生物应用,工具的精度在操作的成功和可靠性方面起着重要作用,因此在本文中,成本函数被定义为工具误差、施加到工具上的最大力以及要最小化的粒子的最大变形的组合。在这方面,考虑了限制粒子运动和速度的约束条件,例如临界力和时间以及最大施加力。而在活体环境中,障碍物的存在是可能的,将考虑具有随机轮廓和分布的固定和移动障碍物。在上述条件下对粘弹性粒子进行了路由规划,并与以前的工作进行了比较,证明了路径的正确性。通过在不同情况下的路径优化比较了不同约束的效果。对于临界力和时间的路径规划时间约为 117.657s,对于最大施加力为 118.240s,对于所有约束条件为 120.540s,这表明施加力约束比其他约束更有效,增加了路径规划时间。