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Accelerated Adaptive Local Scanning of Complicated Micro Objects for the PSD Scanning Microscopy: Methods and Implementation

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Intelligent Autonomous Systems 14 (IAS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 531))

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Abstract

A PSD (Position Sensitive Detector) -based microscopy was introduced previously by same authors to scan sophisticated objects using the PSD sensor and a laser beam connected to an X-Y table (Rahimi et al., 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp 1685–1690 (2014) [1]; Rahimi et al., 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp 4955–4960 (2015) [2]). The system has numerous capabilities including but not limited to tracing an unknown object on the PSD, finding the dimensions of the object and adaptive local scanning for objects with intersections and bifurcations. Although promising results were obtained from that system, the speed of the scanning was still dependent on the speed of the movement of the micromanipulator. This work presents an extension to the tracing method by scanning tree-shaped objects. The simulations show a very successful scanning that can map any tree-shaped object.

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References

  1. Rahimi, M., Luo, Y., Harris, F.C., Dascalu, S.M., Shen, Y.: Improving measurement accuracy of Position Sensitive Detector (PSD) for a new scanning PSD microscopy system. In: 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1685–1690. IEEE (2014)

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Author information

Authors and Affiliations

  1. Department of Electrical and Biomedical Engineering, University of Nevada, Reno, 1664 N. Virginia St., Reno, NV, 89557, USA

    Mehdi Rahimi & Yantao Shen

Authors
  1. Mehdi Rahimi
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  2. Yantao Shen
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Corresponding author

Correspondence to Yantao Shen .

Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University , Shanghai, China

    Weidong Chen

  2. Osaka University , Osaka, Japan

    Koh Hosoda

  3. University of Padua , Padua, Italy

    Emanuele Menegatti

  4. Osaka University , Osaka, Japan

    Masahiro Shimizu

  5. Shanghai Jiao Tong University , Shanghai, China

    Hesheng Wang

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Rahimi, M., Shen, Y. (2017). Accelerated Adaptive Local Scanning of Complicated Micro Objects for the PSD Scanning Microscopy: Methods and Implementation. In: Chen, W., Hosoda, K., Menegatti, E., Shimizu, M., Wang, H. (eds) Intelligent Autonomous Systems 14. IAS 2016. Advances in Intelligent Systems and Computing, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-319-48036-7_37

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  • DOI: https://doi.org/10.1007/978-3-319-48036-7_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48035-0

  • Online ISBN: 978-3-319-48036-7

  • eBook Packages: EngineeringEngineering (R0)

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