Application of wearable optical coherence tomography (OCT) and loop-mediated isothermal amplification (LAMP) techniques for in situ real-time field inspection of apple Marssonina blotch disease

Here we describe the possible application of optical coherence tomography (OCT) to inspect Marssonina coronaria infected apple blotch disease of in situ apple leaves. To fulfill the in situ field inspection requirement, we developed a compact wearable OCT system. For the confirmation of OCT results, simultaneous experiment was performed in realtime using loop-mediated isothermal amplification (LAMP), which is frequently used in agriculture. LAMP method was developed as an alternative approach for the inspection of disease. We performed field inspection for 30 consecutive days, and all the acquired results from both OCT and lamp were compared to confirm the correlation. A clear identification between healthy specimens, apparently healthy but infected specimens, and infected specimens could be obtained through the real-time OCT images, and the correlation between OCT and lamp results was confirmed through the obtained realtime lamp results. Based on this feasibility study, we conclude that the combination of both these diagnosing modalities can be effective for various novel agricultural discoveries.

[1]  Jeehyun Kim,et al.  Application of optical coherence tomography to detect Cucumber green mottle mosaic virus (CGMMV) infected cucumber seed , 2012, Horticulture, Environment, and Biotechnology.

[2]  Tae-Myung Yoon,et al.  Biological Characterization of Marssonina coronaria Associated with Apple Blotch Disease , 2011, Mycobiology.

[3]  G Tamietti,et al.  First Report of Leaf Blotch Caused by Marssonina coronaria on Apple in Italy. , 2003, Plant disease.

[4]  Bart Nicolai,et al.  Characterising kiwifruit (Actinidia sp.) near skin cellular structures using optical coherence tomography , 2015 .

[5]  Heeyoung Jung,et al.  Optical Sensing Method for Screening Disease in Melon Seeds by Using Optical Coherence Tomography , 2011, Sensors.

[6]  Jeehyun Kim,et al.  In vivo imaging of middle-ear and inner-ear microstructures of a mouse guided by SD-OCT combined with a surgical microscope. , 2014, Optics express.

[7]  Hamid R. Arabnia,et al.  Apple classification based on surface bruises using image processing and neural networks , 2002 .

[8]  Jeehyun Kim,et al.  Bio-photonic detection method for morphological analysis of anthracnose disease and physiological disorders of Diospyros kaki , 2017 .

[9]  Daniel Fried,et al.  Imaging caries lesions and lesion progression with polarization-sensitive optical coherence tomography , 2002, SPIE BiOS.

[10]  J. Welzel Optical coherence tomography in dermatology: a review , 2001, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[11]  Jeehyun Kim,et al.  In Vivo Monitoring on Growth and Spread of Gray Leaf Spot Disease in Capsicum annuum Leaf Using Spectral Domain Optical Coherence Tomography , 2016 .

[12]  Beop-Min Kim,et al.  Optically deviated focusing method based high-speed SD-OCT for in vivo retinal clinical applications , 2016 .

[13]  Pil Un Kim,et al.  Optical Inspection and Morphological Analysis of Diospyros kaki Plant Leaves for the Detection of Circular Leaf Spot Disease , 2016, Sensors.

[14]  Bart Nicolai,et al.  Optical coherence tomography visualizes microstructure of apple peel , 2013 .

[15]  A F Fercher,et al.  Optical coherence tomography. , 1996, Journal of biomedical optics.