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Multi-directional characterization for pollen tubes based on a nanorobotic manipulation system

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Pollen tubes’ main function is to transport gametes to ovules. Mechanical properties of pollen tubes affect their growth and penetration. Most existing systems for characterizing pollen tubes can only characterize pollen tubes from one direction. However, considering pollen tubes’ nonuniform properties, results got from one fixed direction don’t necessarily represent pollen tubes’ overall properties. In order to characterize pollen tubes from multi-direction instead of one direction, a nanorobotic system is proposed herein. The system contains two robots, robot 1 for sample assembly and robot 2 for sensor assembly. Robot 1’s rotation degree enables pollen tubes to be characterized from multi-direction. During experiments, the pollen tube is bent at different angles from 0° to 360°. Bending forces at different angle are quite different. The results demonstrate that pollen tubes are inhomogeneous along circumferential direction and justify the necessity to characterize pollen tubes from multi-direction. Experiment results can be used to measure pollen tubes’ stiffness at different direction and analyze how pollen tubes penetrate through pistil.
Original languageEnglish
Title of host publicationIntelligent Robotics and Applications
Subtitle of host publication10th International Conference, ICIRA 2017, Wuhan, China, August 16–18, 2017, Proceedings, Part I
EditorsYongAn Huang, Hao Wu, Honghai Liu, Zhouping Yin
Place of PublicationCham
PublisherSpringer 
Pages84-93
ISBN (Electronic)978-3-319-65289-4
ISBN (Print)978-3-319-65288-7
DOIs
Publication statusPublished - 2017
Event10th International Conference on Intelligent Robotics and Applications (ICIRA 2017) - East Lake International Conference Center Wuhan, Wuhan, China
Duration: 15 Aug 201718 Aug 2017
http://www.icira2017.org/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence)
PublisherSpringer
Volume10462
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Intelligent Robotics and Applications (ICIRA 2017)
Abbreviated titleICIRA 2017
PlaceChina
CityWuhan
Period15/08/1718/08/17
Internet address

Research Keywords

  • Bend
  • Mechanical characterization
  • Multi-direction
  • Nanorobotic system
  • Nonuniform properties
  • Pollen tubes

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