Visualization and estimation of contact stimuli using living microorganisms

Anchelee Davies, Naoko Ogawa, Hiromasa Oku, Koichi Hashimoto, Masatoshi Ishikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we propose a novel microsensing scheme in which intrinsic sensing capability in microorganisms is utilized. Extraction of signals inside the cell and decoding of stimuli received would be an interesting challenge toward development of novel biomimetic sensors, or for potential utilization of a living microorganism itself as a microrobot. As a prototype, we focus on the mechanosensory process in Paramecium cells. When a mechanical stimuli is applied, Ca2+ ion concentration in the cell rises. By visualizing the Ca2+ level rise by using Ca2+ fluorescent indicators and input intensity data into PCs, we can extract the sensation perceived by the cell. A simple experiment was performed in vivo and contact sensation was successfully extracted and decoded. It can be applied for on-board sensors in cells as microrobots in future works.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
Pages445-450
Number of pages6
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006 - Kunming, China
Duration: 2006 Dec 172006 Dec 20

Publication series

Name2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006

Other

Other2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006
CountryChina
CityKunming
Period06/12/1706/12/20

Keywords

  • Calcium indicator
  • Contact
  • Mechanoreceptor
  • Microorganism
  • Microrobot
  • Paramecium

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Visualization and estimation of contact stimuli using living microorganisms'. Together they form a unique fingerprint.

Cite this