Biophotonic approach for the characterization of initial bitter-rot progression on apple specimens using optical coherence tomography assessments

The tremendous advances achieved in the biophotonics technologies have intensified the necessity for non-invasive modalities that can characterize diverse biological materials with increased sensitivity and resolution. Optical coherence tomography (OCT) is one of the techniques that has been applied for biological applications in medicine and agriculture to identify structural properties. Herein, we report the successful incorporation of OCT for the identification of morphological changes that occur as a result of the bitter rot disease, through continuous detection of structural changes. Detailed inner morphological structural changes occurring in fruit specimens were precisely analyzed as a function of the disease incubation period using OCT. The conducted histological correlation and quantitative three-dimensional evaluations provide a robust platform for further discoveries related to plant materials. The results highlight the initial identification of bitter rot progression on apple specimens owing to the non-invasive inspection capability of OCT. Therefore, we expect that the proposed method will enable immediate sensitivity improvements in the inspection of plant diseases for postharvest utility.

[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]  Ulrich Schurr,et al.  Combined MRI-PET dissects dynamic changes in plant structures and functions. , 2009, The Plant journal : for cell and molecular biology.

[3]  E. Yuliwati,et al.  A Review , 2019, Current Trends and Future Developments on (Bio-) Membranes.

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

[5]  R. Kuranov,et al.  Study of the Morphological and Functional State of Higher Plant Tissues by Optical Coherence Microscopy and Optical Coherence Tomography , 2005, Russian Journal of Plant Physiology.

[6]  Xin Li,et al.  PCR Detection of the Three Neofabraea Pathogenic Species Responsible for Apple Bull’s Eye Rot , 2013 .

[7]  Jeehyun Kim,et al.  Optical coherence tomography-integrated, wearable (backpack-type), compact diagnostic imaging modality for in situ leaf quality assessment. , 2017, Applied optics.

[8]  Jeehyun Kim,et al.  The Application of Optical Coherence Tomography in the Diagnosis of Marssonina Blotch in Apple Leaves , 2012 .

[9]  Jeehyun Kim,et al.  Full-range k-domain linearization in spectral-domain optical coherence tomography. , 2011, Applied optics.

[10]  Divneet Singh Kapoor,et al.  Multi-level threshold based edge detector using logical operations , 2016 .

[11]  Jeehyun Kim,et al.  Depth enhancement in spectral domain optical coherence tomography using bidirectional imaging modality with a single spectrometer , 2016, Journal of biomedical optics.

[12]  M. Thon,et al.  First Report of Apple Bitter Rot Caused by Colletotrichum godetiae in the United Kingdom. , 2014, Plant disease.

[13]  Igor Meglinski,et al.  Imaging of subcutaneous microcirculation vascular network by double correlation Optical Coherence Tomography , 2013 .

[14]  I. Meglinski,et al.  Plant photonics: application of optical coherence tomography to monitor defects and rots in onion , 2010 .

[15]  C. Lévesque,et al.  Species specific identification of the Neofabraea pathogen complex associated with pome fruits using PCR and multiplex DNA amplification. , 2003, Mycological research.

[16]  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 .

[17]  T. Sutton,et al.  Population Diversity within Isolates of Colletotrichum spp. Causing Glomerella Leaf Spot and Bitter Rot of Apples in Three Orchards in North Carolina. , 2004, Plant disease.

[18]  Masroor Ikram,et al.  A rapid and non-invasive bio-photonic technique to monitor the quality of onions , 2015 .

[19]  Rosana Almada Bassani,et al.  Application based on the Canny edge detection algorithm for recording contractions of isolated cardiac myocytes , 2017, Comput. Biol. Medicine.

[20]  Ralph P. Tatam,et al.  Application of optical coherence tomography to non-destructively characterise rind breakdown disorder of ‘Nules Clementine’ mandarins , 2013 .

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

[22]  Changhuei Yang,et al.  Sensitivity advantage of swept source and Fourier domain optical coherence tomography. , 2003, Optics express.

[23]  João M. Oliveira,et al.  Ovary and fruit morphology and anatomy of Amphilophium crucigerum , 2016 .

[24]  David D. Sampson,et al.  Optical coherence tomography as a novel tool for non-destructive measurement of the hull thickness of lupin seeds , 2004 .

[25]  Igor Meglinski,et al.  Turbulence monitoring with Doppler Optical Coherence Tomography , 2007 .

[26]  W. Poh,et al.  Diagnosis of virus infection in orchid plants with high-resolution optical coherence tomography. , 2009, Journal of biomedical optics.

[27]  Marcelo Caetano Alexandre Marcelo,et al.  Near infrared spectroscopy combined with chemometrics for growth stage classification of cannabis cultivated in a greenhouse from seized seeds. , 2017, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

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

[29]  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.

[30]  J. Correll,et al.  Clarification of the Etiology of Glomerella Leaf Spot and Bitter Rot of Apple Caused by Colletotrichum spp. Based on Morphology and Genetic, Molecular, and Pathogenicity Tests. , 2006, Phytopathology.

[31]  H. Gausman,et al.  Refractive index of plant cell walls. , 1974, Applied optics.

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

[33]  G. Batten Plant analysis using near infrared reflectance spectroscopy : the potential and the limitations , 1998 .

[34]  Mayandi Sivaguru,et al.  Cuticle and subsurface ornamentation of intact plant leaf epidermis under confocal and superresolution microscopy , 2018, Microscopy research and technique.

[35]  S. Freeman,et al.  Characterization of Colletotrichum Species Responsible for Anthracnose Diseases of Various Fruits. , 1998, Plant disease.

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

[37]  A. Podoleanu,et al.  Optical coherence tomography , 2012, Journal of microscopy.

[38]  S. Freeman,et al.  Differentiation of Colletotrichum species responsible for anthracnose of strawberry by arbitrarily primed PCR , 1995 .

[39]  R. Saftner,et al.  Control of bitter rot and blue mold of apples by integrating heat and antagonist treatments on 1-MCP treated fruit stored under controlled atmosphere conditions , 2003 .

[40]  Reza Ehsani,et al.  Review: A review of advanced techniques for detecting plant diseases , 2010 .

[41]  Adolf Friedrich Fercher Optical coherence tomography. , 1996 .

[42]  J. Fujimoto Optical coherence tomography for ultrahigh resolution in vivo imaging , 2003, Nature Biotechnology.

[43]  G. S. Bonjar,et al.  Post harvest biological control of apple bitter rot by soil-borne Actinomycetes and molecular identification of the active antagonist , 2016 .

[44]  G. Ripandelli,et al.  Optical coherence tomography. , 1998, Seminars in ophthalmology.

[45]  A. Peirs,et al.  Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .

[46]  J. M. Pérez-Sánchez,et al.  Non-destructive seed detection in mandarins: Comparison of automatic threshold methods in FLASH and COMSPIRA MRIs , 2008 .

[47]  E. H. Souza,et al.  Initial vegetative growth and graft region anatomy of yellow passion fruit on Passiflora spp. rootstocks , 2017 .

[48]  Jeehyun Kim,et al.  Optical sensing method to analyze germination rate of Capsicum annum seeds treated with growth-promoting chemical compounds using optical coherence tomography , 2017, Journal of biomedical optics.