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Updated: Nov 6, 2025

A Protocol for Real-time 3D Single Particle Tracking
Published on: January 3, 2018
Path planning in three dimensional live environment with randomly moving obstacles for viscoelastic bio-particle
Moharam Habibnejad Korayem1, Zahra Rastegar1
1Robotic Research Laboratory, Center of Excellence in Experimental Solid Mechanics and Dynamics, School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran.
Abstract:
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.
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