Optical coherence tomography biospeckle imaging for fast monitoring varying surface responses of a plant leaf under ozone stress

L. K.T. Srimal, H. Kadono, U. M. Rajagopalan

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

4 Citations (Scopus)

Abstract

In this study, Optical Coherence Tomography (OCT) was used to investigate the effect of short term ozone exposure on both front and back surfaces of the leaves of Allium tuberosum plant. Plant leaves were subjected to treat with 240ppb level of ozone, and imaging data were acquired from back and front surfaces of the leaves. Variations of the biological activations were monitored based on the biospeckles. Standard deviations (SD) of OCT temporal signal at each point were calculated and used to visualize the effect of ozone exposure. Leaf back surface showed higher SDs in biospeckle OCT signal in comparison to these of the front surface. These observations prove that the short term ozone stress on plant can be investigated successively with biospeckle OCT imaging technique.

Original languageEnglish
Title of host publicationSensing Technologies for Biomaterial, Food, and Agriculture 2013
DOIs
Publication statusPublished - 2013 Aug 1
EventSensing Technologies for Biomaterial, Food, and Agriculture 2013 - Yokohama, Japan
Duration: 2013 Apr 232013 Apr 25

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8881
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherSensing Technologies for Biomaterial, Food, and Agriculture 2013
CountryJapan
CityYokohama
Period13/4/2313/4/25

Keywords

  • Biospeckles
  • Optical Coherence Tomography
  • Ozone stress

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Srimal, L. K. T., Kadono, H., & Rajagopalan, U. M. (2013). Optical coherence tomography biospeckle imaging for fast monitoring varying surface responses of a plant leaf under ozone stress. In Sensing Technologies for Biomaterial, Food, and Agriculture 2013 [88810H] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8881). https://doi.org/10.1117/12.2031062