Discriminating hidden bruises in loquat by attenuation coefficients estimated from optical coherence tomography images

Abstract Hidden bruising is considered as one of the difficulties during loquat quality control, which has made an impact on postharvest quality and storability. Optical coherence tomography (OCT) is used as a non-destructive method that acquires 2D images of the sub-surface structure of the loquat. After OCT image processing, the attenuation coefficients (μt) of the regions of interests are fitted to quantitatively analyze the characteristics of loquat tissue through using a confocal signal scattering model from OCT A-scan signals. In this experiment, a total of 60 loquat samples are investigated, with the non-bruised tissue having a large μt with a mean value of 1910 m−1 (std: ±160). However, bruised groups without any storage time and after storage for 12 h showed lower μt with a mean value of 1190 m−1 (std: ±230) and 1020 m−1 (std: ±190) respectively. The μt value is sensitive to chemical and structural changes in loquat tissue and can also be used in hidden bruise discrimination of loquat.

[1]  Yibin Ying,et al.  Application of probabilistic neural networks in qualitative analysis of near infrared spectra: determination of producing area and variety of loquats. , 2007, Analytica chimica acta.

[2]  R. Lu,et al.  Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique , 2008 .

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

[4]  H. Lemij,et al.  Depth-resolved model-based reconstruction of attenuation coefficients in optical coherence tomography. , 2013, Biomedical optics express.

[5]  Morteza Soleimani Aghdam,et al.  Postharvest Heat Treatment for Mitigation of Chilling Injury in Fruits and Vegetables , 2013, Food and Bioprocess Technology.

[6]  J. Duker,et al.  Optical coherence tomography – current and future applications , 2013, Current Opinion in Ophthalmology.

[7]  Yibin Ying,et al.  An integrated fiber-optic probe combined with support vector regression for fast estimation of optical properties of turbid media. , 2015, Analytica chimica acta.

[8]  Hetong Lin,et al.  The roles of metabolism of membrane lipids and phenolics in hydrogen peroxide-induced pericarp browning of harvested longan fruit , 2016 .

[9]  Alessandro Torricelli,et al.  Optical properties of developing pip and stone fruit reveal underlying structural changes. , 2015, Physiologia plantarum.

[10]  Sina Farsiu,et al.  Intrasurgical Human Retinal Imaging With Manual Instrument Tracking Using a Microscope-Integrated Spectral-Domain Optical Coherence Tomography Device. , 2015, Translational vision science & technology.

[11]  N. Bruining,et al.  Expert review document part 2: methodology, terminology and clinical applications of optical coherence tomography for the assessment of interventional procedures , 2012, European heart journal.

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

[13]  Qing Guo,et al.  Directional Weight Based Contourlet Transform Denoising Algorithm for Oct Image , 2013, Intell. Autom. Soft Comput..

[14]  José Blasco,et al.  Laser-light backscattering imaging for early decay detection in citrus fruit using both a statistical and a physical model , 2015 .

[15]  F. Chenlo,et al.  Thermodynamic analysis of experimental sorption isotherms of loquat and quince fruits , 2008 .

[16]  Ton G van Leeuwen,et al.  Quantitative measurement of attenuation coefficients of bladder biopsies using optical coherence tomography for grading urothelial carcinoma of the bladder. , 2010, Journal of biomedical optics.

[17]  Dirk Faber,et al.  Functional optical coherence tomography : spatially resolved measurements of optical properties , 2005 .

[18]  Xiaping Fu,et al.  Measurement methods for optical absorption and scattering properties offruits and vegetables. , 2015 .

[19]  N D Lourenço,et al.  Bioreactor monitoring with spectroscopy and chemometrics: a review , 2012, Analytical and Bioanalytical Chemistry.

[20]  Fabrice Manns,et al.  Quantification of the ciliary muscle and crystalline lens interaction during accommodation with synchronous OCT imaging. , 2016, Biomedical optics express.

[21]  Yuzhen Lu,et al.  Innovative Hyperspectral Imaging-Based Techniques for Quality Evaluation of Fruits and Vegetables: A Review , 2017 .

[22]  Fei Liu,et al.  Application of Visible and Near-Infrared Hyperspectral Imaging for Detection of Defective Features in Loquat , 2014, Food and Bioprocess Technology.

[23]  David Levitz,et al.  Determination of optical scattering properties of highly-scattering media in optical coherence tomography images. , 2004, Optics express.

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

[25]  Baohua Zhang,et al.  Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review , 2014 .

[26]  Baohua Zhang,et al.  Detection of Early Rottenness on Apples by Using Hyperspectral Imaging Combined with Spectral Analysis and Image Processing , 2015, Food Analytical Methods.

[27]  Yanpeng Wang,et al.  Comparison of practical methods for postharvest preservation of loquat fruit , 2016 .

[28]  Zhifang Li,et al.  Optical features for chronological aging and photoaging skin by optical coherence tomography , 2013, Lasers in Medical Science.

[29]  Dirk J. Faber,et al.  Localized measurement of optical attenuation coefficients of atherosclerotic plaque constituents by quantitative optical coherence tomography , 2005, IEEE Transactions on Medical Imaging.