Micro Robotic Manipulation System for the Force Stimulation of Muscle Fiber-like Cell Structure

Chen, Xie; Shi, Qing; Shimoda, Shingo; Sun, Tao; Wang, Huaping; Huang, Qiang; Fukuda, Toshio

doi:10.1109/icra48506.2021.9560846

Cited by 1 publication

(1 citation statement)

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“…The study resulted in successful grasp, hold, and release manipulations of micro-parts (400-600 µm size) with a force-sensing resolution of less than 6 µN, even when softness variation was introduced on the micro-object (±20% around the average value) [7]. Chen et al mechanically stimulated muscle cell structures using a vision-based micro-robotic manipulation system, emphasizing the importance of vision-based force measurement and correction techniques to enhance precision [8]. In the domain of biomedical microelectrode implantation, Qin et al automated the hooking of flexible microelectrode probes with micro-needles, employing visual guidance and a robotic hooking control system that operated under varying microscope magnifications [9].…”

Section: Related Work 21 Micro-manipulation Systemsmentioning

confidence: 99%

A Vision-Based Micro-Manipulation System

Vismanis,

Arents,

Subačiūtė-Žemaitienė

et al. 2023

Applied Sciences

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This research article outlines the design and methodology employed in the development of a vision-based micro-manipulation system, emphasizing its constituent components. While the system is initially tailored for applications involving living cells, its adaptability to other objects is highlighted. The integral components include an image enhancement module for data preparation, an object detector trained on the pre-processed data, and a precision micro-manipulator for actuating towards detected objects. Each component undergoes rigorous precision testing, revealing that the proposed image enhancement, when combined with the object detector, outperforms conventional methods. Additionally, the micro-manipulator shows excellent results for working with living cells the size of yeast. In the end, the components are also tested in a combined system as a proof-of-concept.

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Section: Related Work 21 Micro-manipulation Systemsmentioning

confidence: 99%