Research Article | OPEN ACCESS
Application of Bio-speckle Activity to Assess Seed Viability
Sen Men, Lei Yan and Hua Qian
School of Technology, Beijing Forestry University, Beijing, China
Advance Journal of Food Science and Technology 2015 3:214-218
Received: December 10, 2014 | Accepted: January 19, 2015 | Published: May 15, 2015
Abstract
This study presents an assessment method for seed viability, using bio-speckle technique. Bio-speckle is caused by moving of the biological material under highly coherent light. If this phenomenon can be measured by successive speckle patterns during the period of germination, it is possible to identify different activities of the seeds. Viable and non-viable pisumsativum seeds were illuminated by a helium-neon laser source of 7mW with wavelength of 632.8 nm. The speckle patterns were recorded by a digital colour charge-couple device camera and stored in the host computer for further analysis using Matlab. Two methods were used to obtain information of biological activities from these speckle patterns. It was observed that the seeds activities can be distinguished as viable seeds and non-viable seeds. The results indicate that bio-speckle can be used to assess seed viability.
Keywords:
Bio-speckle, dynamic speckle, laser speckle, seed viability, viability assessment,
References
-
Ansari, M.D.Z. and A.K. Nirala, 2013. Biospeckle activity measurement of Indian fruits using the methods of cross-correlation and inertia moments. Optik Int. J. Light Electron Opt., 124(15): 2180-2186.
CrossRef
-
Arizaga, R., M. Trivi and H. Rabal, 1999. Speckle time evolution characterization by the co-occurrence matrix analysis. Opt. Laser Technol., 31(2): 163-169.
CrossRef
-
Arizaga, R., N.L. Cap, H. Rabal and M. Trivi, 2002. Display of local activity using dynamical speckle patterns. Opt. Eng., 41: 287-294.
CrossRef
-
Baranyai, L. and M. Zude, 2009. Analysis of laser light propagation in kiwifruit using backscattering imaging and Monte Carlo simulation. Comput. Electron. Arg., 69(1): 33-39.
CrossRef
-
Blotta, E., A. Bouchet, M. Brun and V. Ballarin, 2013. Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools. Signal Process., 93(7): 1864-1870.
CrossRef
-
Braga Jr., R.A., I.M. Dal Fabbro, F.M. Borem, G. Rabelo, R. Arizaga, H.J. Rabal and M. Trivi, 2003. Assessment of seed viability by laser speckle techniques. Biosyst. Eng., 86(3): 287-294.
CrossRef
-
Braga Jr., R.A., G.F. Rabelo, L.R. Granato, E.F. Santos, J.C. Machado, R. Arizaga, H.J. Rabal and M. Trivi, 2005. Detection of fungi in beans by the laser bio-speckle technique. Biosyst. Eng., 91(4): 465-469.
CrossRef
-
Braga Jr., R.A., G.W. Horgan, A.M. Enes, D. Miron, G.F. Rabelo and J.B. BarretoFilho. 2007. Biological feature isolation by wavelets in biospeckle laser images. Comput. Electron. Agr., 58(2): 123-132.
CrossRef
-
Cardoso, R.R., A.G. Costa, C.M.B. Nobre and R.A. Braga Jr., 2011. Frequency signature of water activity by biospeckle laser. Opt. Commun., 284(8): 2131-2136.
CrossRef
-
Fernández, M., A. Mavilio, H. Rabal and M. Trivi, 2003. Characterization of viability of seeds by using dynamic speckles and difference histograms. In: Sanfeliu, A. and J. Ruiz-Shulcloper (Eds.), CIARP 2003. LNCS 2905, Springer-Verlag, Berlin, Heidelberg, pp: 329-333.
CrossRef
-
Li, P., S. Ni, L. Zhang, S. Zeng and Q. Luo, 2006. Imaging cerebral blood flow through the intact rat skull with temporal laser speckle imaging. Opt. Lett., 31(12): 1824-1826.
CrossRef PMid:16729083
-
Nothdurft, R. and G. Yao, 2005. Imaging obscured subsurface inhomogeneity using laser speckle. Opt. Express, 13(25): 10034-10039.
CrossRef PMid:19503214
-
Pajuelo, M., G. Baldwin, H. Rabal, N. Cap, R. Arizaga and M. Trivi, 2003. Bio-speckle assessment of bruising in fruits. Opt. Laser. Eng., 40(1-2): 13-24.
CrossRef
-
Passoni, I., A. Dai Pra, H. Rabal, M. Trivi and R. Arizaga, 2005. Dynamic speckle processing using wavelets based entropy. Opt. Commun., 246(1-3): 219-228.
CrossRef
-
Rabelo, G.F., A.M. Enes, R.A.B. Junior and I.M.D. Fabbro, 2011. Frequency response of biospeckle laser image of bean seeds contaminated by fungi. Biosyst. Eng., 110(3): 297-301.
CrossRef
-
Ribeiro, K.M., R.A. Braga Jr., G.W. Horgan, D.D. Ferreira and T. Safadi, 2014. Principal component analysis in the spectral analysis of the dynamic laser speckle patterns. J. Eur. Opt. Soc-Rapid, 9: 10, DOI: 10.2971/jeos.2014.14009.
CrossRef
-
Romero, G.G., C.C. Martinez, E.E. Alanis, G.A. Salazar, V.G. Broglia and L. Alvarez, 2009. Bio-speckle activity applied to the assessment of tomato fruit ripening. Biosyst. Eng., 103(1): 116-119.
CrossRef
-
Sendra, G.H., R. Arizaga, H. Rabal and M. Trivi, 2005. Decomposition of biospeckle images in temporary spectral bands. Opt. Lett, 30(13): 1641-1643.
CrossRef PMid:16075523
-
Zdunek, A., L. Muravsky, L. Frankevych and K. Konstankiewicz, 2007. New nondestructive method based on spatial-temporal speckle correlation technique for evaluation of apples quality during shelf-life. Int. Agrophys., 21: 105-310.
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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