Next Article in Journal
Simultaneous Application of Fibrous Piezoresistive Sensors for Compression and Traction Detection in Glass Laminate Composites
Previous Article in Journal
Biosensor Applications in the Field of Antibiotic Research—A Review of Recent Developments
Open AccessArticle

Optical Sensing Method for Screening Disease in Melon Seeds by Using Optical Coherence Tomography

1
School of Electrical Engineering and Computer Science, Kyungpook National University, 1370, Sankyuk-dong, Buk-gu, Daegu 702-701, Korea
2
School of Applied Biosciences, Kyungpook National University, 1370, Sankyuk-dong, Buk-gu, Daegu 702-701, Korea
3
Division of General Studies, Ulsan National Institute of Science and Technology, Ulsan 689-798, Korea
*
Author to whom correspondence should be addressed.
Sensors 2011, 11(10), 9467-9477; https://doi.org/10.3390/s111009467
Received: 17 August 2011 / Revised: 21 September 2011 / Accepted: 22 September 2011 / Published: 10 October 2011
(This article belongs to the Section Physical Sensors)
We report a noble optical sensing method to diagnose seed abnormalities using optical coherence tomography (OCT). Melon seeds infected with Cucumber green mottle mosaic virus (CGMMV) were scanned by OCT. The cross-sectional sensed area of the abnormal seeds showed an additional subsurface layer under the surface which is not found in normal seeds. The presence of CGMMV in the sample was examined by a blind test (n = 140) and compared by the reverse transcription-polymerase chain reaction. The abnormal layers (n = 40) were quantitatively investigated using A-scan sensing analysis and statistical method. By utilizing 3D OCT image reconstruction, we confirmed the distinctive layers on the whole seeds. These results show that OCT with the proposed data processing method can systemically pick up morphological modification induced by viral infection in seeds, and, furthermore, OCT can play an important role in automatic screening of viral infections in seeds. View Full-Text
Keywords: optical sensing; plant imaging optical sensing; plant imaging
MDPI and ACS Style

Lee, C.; Lee, S.-Y.; Kim, J.-Y.; Jung, H.-Y.; Kim, J. Optical Sensing Method for Screening Disease in Melon Seeds by Using Optical Coherence Tomography. Sensors 2011, 11, 9467-9477.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop