Skip to main navigation Skip to search Skip to main content

Force Sensing and Control in Robot-Assisted Suspended Cell Injection System

Haibo Huang, Dong Sun, Hao Su, James K. Mills

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 12 - Chapter in an edited book (Author)peer-review

    Abstract

    Stimulated by state-of-the-art robotic and computer technology, cell injection automation aims to scale and seamlessly transfer the human hand movements into more precise and fast movements of the micromanipulator. This chapter presents a robotic cell-injection system for automatic injection of batch-suspended cells. To facilitate the process, these suspended cells are held and fixed to a cell array by a specially designed cell holding device, and injected one by one through an "out-ofplane" cell injection process. Starting from image identifying the embryos and injector pipette, a proper batch cell injection process, including the injection trajectory of the pipette, is designed for this automatic suspended cell injection system. A micropipette equipped with a PVDF micro force sensor to measure real time injection force, is integrated in the proposed system. Through calibration, an empirical relationship between the cell injection force and the desired injector pipette trajectory is obtained in advance. Then, after decoupling the out-of-plane cell injection into a position control in X-Y horizontal plane and an impedance control in the Z- axis, a position and force control algorithm is developed for controlling the injection pipette. The depth motion of the injector pipette, which cannot be observed by microscope, is indirectly controlled via the impedance control, and the desired force is determined from the online X-Y position control and the cell calibration results. Finally, experimental results demonstrate the effectiveness of the proposed approach. © Springer-Verlag Berlin Heidelberg 2012.
    Original languageEnglish
    Title of host publicationAdvances in Robotics and Virtual Reality
    Pages61-88
    Volume26
    DOIs
    Publication statusPublished - 2012

    Publication series

    NameIntelligent Systems Reference Library
    Volume26
    ISSN (Print)1868-4394
    ISSN (Electronic)1868-4408

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

    Fingerprint

    Dive into the research topics of 'Force Sensing and Control in Robot-Assisted Suspended Cell Injection System'. Together they form a unique fingerprint.

    Cite this