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http://dx.doi.org/10.5369/JSST.2013.22.4.262

Development of Real-time Screening System for Superior Melon Seeds Using Optical Coherence Tomography  

Han, Seunghoon (Graduate School of Electrical Engineering, Kyungpook National University)
Lee, Changho (Graduate School of Electrical Engineering, Kyungpook National University)
Lee, Seung-Yeol (College of Agriculture and Life Sciences, Kyungpook National University)
Jung, Hee-Young (College of Agriculture and Life Sciences, Kyungpook National University)
Kim, Jeehyun (Graduate School of Electrical Engineering, Kyungpook National University)
Publication Information
Journal of Sensor Science and Technology / v.22, no.4, 2013 , pp. 262-267 More about this Journal
Abstract
We developed a real-time screening system using optical coherence tomography (OCT) to distinguish the fruitful melon seeds efficiently. Cross-section images of melon seeds infected with Cucumber green mottle mosaic virus (CGMMV) showed an additional layer that did not appear in normal seeds. Additional layer appeared under $100{\sim}300{\mu}m$ from the surface of the seed. OCT can visualize the micro-structural and morphological changes of the internal seed structure. Real-time OCT seed screening system provided the real-time, non-destructive, cross-section image and quantitative information such as A-scan analysis of selected region in the cross-section image. We can distinguish the viral infection seeds while monitoring the averaged A-scan analysis graph in real-time by considering the second peak value of the graph which refers to the layer that occurred owing to the virus. Real-time OCT seed screening system could assist to distinguish the disease caused by CGMMV.
Keywords
OCT (Optical Coherence Tomography); Real-time A-scan analysis; Plant imaging;
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Times Cited By KSCI : 5  (Citation Analysis)
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