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Xia Y, Liu W, Meng J, Hu J, Liu W, Kang J, Luo B, Zhang H, Tang W. Principles, developments, and applications of spatially resolved spectroscopy in agriculture: a review. FRONTIERS IN PLANT SCIENCE 2024; 14:1324881. [PMID: 38269139 PMCID: PMC10805836 DOI: 10.3389/fpls.2023.1324881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 12/19/2023] [Indexed: 01/26/2024]
Abstract
Agriculture is the primary source of human survival, which provides the most basic living and survival conditions for human beings. As living standards continue to improve, people are also paying more attention to the quality and safety of agricultural products. Therefore, the detection of agricultural product quality is very necessary. In the past decades, the spectroscopy technique has been widely used because of its excellent results in agricultural quality detection. However, traditional spectral inspection methods cannot accurately describe the internal information of agricultural products. With the continuous research and development of optical properties, it has been found that the internal quality of an object can be better reflected by separating the properties of light, such as its absorption and scattering properties. In recent years, spatially resolved spectroscopy has been increasingly used in the field of agricultural product inspection due to its simple compositional structure, low-value cost, ease of operation, efficient detection speed, and outstanding ability to obtain information about agricultural products at different depths. It can also separate optical properties based on the transmission equation of optics, which allows for more accurate detection of the internal quality of agricultural products. This review focuses on the principles of spatially resolved spectroscopy, detection equipment, analytical methods, and specific applications in agricultural quality detection. Additionally, the optical properties methods and direct analysis methods of spatially resolved spectroscopy analysis methods are also reported in this paper.
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Affiliation(s)
- Yu Xia
- School of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, China
| | - Wenxi Liu
- School of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, China
- Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jingwu Meng
- School of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, China
| | - Jinghao Hu
- School of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, China
| | - Wenbo Liu
- School of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, China
| | - Jie Kang
- School of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, China
| | - Bin Luo
- Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Han Zhang
- Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Wei Tang
- School of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi, China
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Hu D, Jia T, Sun X, Zhou T, Huang Y, Sun Z, Zhang C, Sun T, Zhou G. Applications of optical property measurement for quality evaluation of agri-food products: a review. Crit Rev Food Sci Nutr 2023:1-21. [PMID: 37691446 DOI: 10.1080/10408398.2023.2255260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Spectroscopic techniques coupled with chemometric approaches have been widely used for quality evaluation of agricultural and food (agri-food) products due to the nondestructive, simple, fast, and easy characters. However, these techniques face the issues or challenges of relatively weak robustness, generalizability, and applicability in modeling and prediction because they measure the aggregate amount of light interaction with tissues, resulting in the combined effect of absorption and scattering of photons. Optical property measurement could separate absorption from scattering, providing new insights into more reliable prediction performance in quality evaluation, which is attracting increasing attention. In this review, a brief overview of the currently popular measurement techniques, in terms of light transfer principles and data analysis algorithms, is first presented. Then, the emphases are put on the recent advances of these techniques for measuring optical properties of agri-food products since 2000. Corresponding applications on qualitative and quantitative analyses of quality evaluation, as well as light transfer simulations within tissues, were reviewed. Furthermore, the leading groups working on optical property measurement worldwide are highlighted, which is the first summary to the best of our knowledge. Finally, challenges for optical property measurement are discussed, and some viewpoints on future research directions are also given.
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Affiliation(s)
- Dong Hu
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
| | - Tianze Jia
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
| | - Xiaolin Sun
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
| | - Tongtong Zhou
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
| | - Yuping Huang
- College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China
| | - Zhizhong Sun
- College of Chemistry and Materials Engineering, Zhejiang A&F University, Hangzhou, China
| | - Chang Zhang
- Office of Educational Administration, Zhejiang A&F University, Hangzhou, China
| | - Tong Sun
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
| | - Guoquan Zhou
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
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Nguyen M, Thomas JB, Farup I. Measuring the Optical Properties of Highly Diffuse Materials. SENSORS (BASEL, SWITZERLAND) 2023; 23:6853. [PMID: 37571636 PMCID: PMC10422425 DOI: 10.3390/s23156853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 07/28/2023] [Accepted: 07/30/2023] [Indexed: 08/13/2023]
Abstract
Measuring the optical properties of highly diffuse materials is a challenge as it could be related to the white colour or an oversaturation of pixels in the acquisition system. We used a spatially resolved method and adapted a nonlinear trust-region algorithm to the fit Farrell diffusion theory model. We established an inversion method to estimate two optical properties of a material through a single reflectance measurement: the absorption and the reduced scattering coefficient. We demonstrate the validity of our method by comparing results obtained on milk samples, with a good fitting and a retrieval of linear correlations with the fat content, given by R2 scores over 0.94 with low p-values. The values of absorption coefficients retrieved vary between 1 × 10-3 and 8 × 10-3 mm-1, whilst the values of the scattering coefficients obtained from our method are between 3 and 8 mm-1 depending on the percentage of fat in the milk sample, and under the assumption of the anisotropy factor g>0.8. We also measured and analyzed the results on white paint and paper, although the paper results were difficult to relate to indicators. Thus, the method designed works for highly diffuse isotropic materials.
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Affiliation(s)
- Mathieu Nguyen
- Department of Computer Science, Norwegian University of Science and Technology (NTNU), 2815 Gjøvik, Norway
| | - Jean-Baptiste Thomas
- Department of Computer Science, Norwegian University of Science and Technology (NTNU), 2815 Gjøvik, Norway
- Imagerie et Vision Artificielle (ImVIA) Laboratory, Department IEM (Informatique, Électronique, Mécanique), Université de Bourgogne, 21000 Dijon, France
| | - Ivar Farup
- Department of Computer Science, Norwegian University of Science and Technology (NTNU), 2815 Gjøvik, Norway
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Ko TS, Catennacio E, Shin SS, Stern J, Massey SL, Kilbaugh TJ, Hwang M. Advanced Neuromonitoring Modalities on the Horizon: Detection and Management of Acute Brain Injury in Children. Neurocrit Care 2023; 38:791-811. [PMID: 36949362 PMCID: PMC10241718 DOI: 10.1007/s12028-023-01690-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 01/31/2023] [Indexed: 03/24/2023]
Abstract
Timely detection and monitoring of acute brain injury in children is essential to mitigate causes of injury and prevent secondary insults. Increasing survival in critically ill children has emphasized the importance of neuroprotective management strategies for long-term quality of life. In emergent and critical care settings, traditional neuroimaging modalities, such as computed tomography and magnetic resonance imaging (MRI), remain frontline diagnostic techniques to detect acute brain injury. Although detection of structural and anatomical abnormalities remains crucial, advanced MRI sequences assessing functional alterations in cerebral physiology provide unique diagnostic utility. Head ultrasound has emerged as a portable neuroimaging modality for point-of-care diagnosis via assessments of anatomical and perfusion abnormalities. Application of electroencephalography and near-infrared spectroscopy provides the opportunity for real-time detection and goal-directed management of neurological abnormalities at the bedside. In this review, we describe recent technological advancements in these neurodiagnostic modalities and elaborate on their current and potential utility in the detection and management of acute brain injury.
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Affiliation(s)
- Tiffany S Ko
- Department of Anesthesiology and Critical Care, Children's Hospital of Philadelphia, Philadelphia, USA.
| | - Eva Catennacio
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Samuel S Shin
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, USA
| | - Joseph Stern
- Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, USA
| | - Shavonne L Massey
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Todd J Kilbaugh
- Department of Anesthesiology and Critical Care, Children's Hospital of Philadelphia, Philadelphia, USA
| | - Misun Hwang
- Department of Radiology, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, USA
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Sun D, Wang X, Huang M, Zhu Q, Qin J. Estimation of optical properties of turbid media using spatially resolved diffuse reflectance combined with LSTM-attention network. OPTICS EXPRESS 2023; 31:10260-10272. [PMID: 37157577 DOI: 10.1364/oe.485235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
The accurate estimation of the optical properties of turbid media by using a spatially resolved (SR) technique remains a challenging task due to measurement errors in the acquired spatially resolved diffuse reflectance (SRDR) and challenges in inversion model implementation. In this study, what we believe to be a novel data-driven model based on a long short-term memory network and attention mechanism (LSTM-attention network) combined with SRDR is proposed for the accurate estimation of the optical properties of turbid media. The proposed LSTM-attention network divides the SRDR profile into multiple consecutive and partially overlaps sub-intervals by using the sliding window technique, and uses the divided sub-intervals as the input of the LSTM modules. It then introduces an attention mechanism to evaluate the output of each module automatically and form a score coefficient, finally obtaining an accurate estimation of the optical properties. The proposed LSTM-attention network is trained with Monte Carlo (MC) simulation data to overcome the difficulty in preparing training (reference) samples with known optical properties. Experimental results of the MC simulation data showed that the mean relative error (MRE) with 5.59% for the absorption coefficient [with the mean absolute error (MAE) of 0.04 cm-1, coefficient of determination (R2) of 0.9982, and root mean square error (RMSE) of 0.058 cm-1] and 1.18% for the reduced scattering coefficient (with an MAE of 0.208 cm-1, R2 of 0.9996, and RMSE of 0.237 cm-1), which were significantly better than those of the three comparative models. The SRDR profiles of 36 liquid phantoms, collected using a hyperspectral imaging system that covered a wavelength range of 530-900 nm, were used to test the performance of the proposed model further. The results showed that the LSTM-attention model achieved the best performance (with the MRE of 14.89%, MAE of 0.022 cm-1, R2 of 0.9603, and RMSE of 0.026 cm-1 for the absorption coefficient; and the MRE of 9.76%, MAE of 0.732 cm-1, R2 of 0.9701, and RMSE of 1.470 cm-1for the reduced scattering coefficient). Therefore, SRDR combined with the LSTM-attention model provides an effective method for improving the estimation accuracy of the optical properties of turbid media.
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Si W, Xiong J, Huang Y, Jiang X, Hu D. Quality Assessment of Fruits and Vegetables Based on Spatially Resolved Spectroscopy: A Review. Foods 2022; 11:foods11091198. [PMID: 35563921 PMCID: PMC9104625 DOI: 10.3390/foods11091198] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/11/2022] [Accepted: 04/19/2022] [Indexed: 01/15/2023] Open
Abstract
Damage occurs easily and is difficult to find inside fruits and vegetables during transportation or storage, which not only brings losses to fruit and vegetable distributors, but also reduces the satisfaction of consumers. Spatially resolved spectroscopy (SRS) is able to detect the quality attributes of fruits and vegetables at different depths, which is of great significance to the quality classification and defect detection of horticultural products. This paper is aimed at reviewing the applications of spatially resolved spectroscopy for measuring the quality attributes of fruits and vegetables in detail. The principle of light transfer in biological tissues, diffusion approximation theory and methodologies are introduced, and different configuration designs for spatially resolved spectroscopy are compared and analyzed. Besides, spatially resolved spectroscopy applications based on two aspects for assessing the quality of fruits and vegetables are summarized. Finally, the problems encountered in previous studies are discussed, and future development trends are presented. It can be concluded that spatially resolved spectroscopy demonstrates great application potential in the field of fruit and vegetable quality attribute evaluation. However, due to the limitation of equipment configurations and data processing speed, the application of spatially resolved spectroscopy in real-time online detection is still a challenge.
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Affiliation(s)
- Wan Si
- College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China; (W.S.); (J.X.); (X.J.)
| | - Jie Xiong
- College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China; (W.S.); (J.X.); (X.J.)
| | - Yuping Huang
- College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China; (W.S.); (J.X.); (X.J.)
- Correspondence:
| | - Xuesong Jiang
- College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China; (W.S.); (J.X.); (X.J.)
| | - Dong Hu
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China;
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Zhou H, Li M, Diao N, Wu S, Wang J, Wu P. A removing resonance fluorescence method for light scattering spectroscopy. Chem Phys Lett 2022. [DOI: 10.1016/j.cplett.2021.139244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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8
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Dai L, Luo Y, Fu X. Simple demodulation method for optical property extraction in spatial frequency domain imaging. APPLIED OPTICS 2021; 60:7878-7887. [PMID: 34613046 DOI: 10.1364/ao.430937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 08/03/2021] [Indexed: 06/13/2023]
Abstract
Different demodulation methods affect the efficiency and accuracy of spatial frequency domain imaging (SFDI). A simple and effective method of sum-to-product identities (STPI) demodulation was proposed in this study. STPI requires one fewer image than conventional three-phase demodulation (TPD) at a spatial frequency. Numerical simulation and phantom experiments were performed. The result proved the feasibility of STPI and showed that STPI combined with subtraction can achieve high-precision demodulation in the low spatial frequency domain. Through extraction of phantom optical properties, STPI had similar accuracy compared with other demodulation methods in extracting optical properties in phantoms. STPI was also used to extract the optical properties of milk, and it had highly consistent results with TPD, which can distinguish milk with different fat content. The demodulation effect of this method in the low spatial frequencies is better than other fast demodulation methods.
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Peng J, Wang K, Ma C, Long J, Tu K, Pan L. Determination of anthocyanin and moisture content of purple sweet potatoes during drying process by their optical properties in the 400-1050 nm range. Food Chem 2021; 359:129811. [PMID: 33951612 DOI: 10.1016/j.foodchem.2021.129811] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 03/27/2021] [Accepted: 03/29/2021] [Indexed: 10/21/2022]
Abstract
This research investigated the potential of using optical properties to assess quality attributes of purple sweet potatoes (PSPs) during drying process. The absorption (μa) and scattering (μs') properties of PSPs during drying were determined at 400-1050 nm using a single integrating sphere system. The absorption spectra were marked by pronounced anthocyanin peaks around 545 nm, and very small water peaks around 980 nm. The average μs' was relatively flat in the 670-1000 nm range, which increased as drying time increased. Good prediction of anthocyanins (determined by pH-differential method) and moisture (determined by oven-drying method) contained in PSPs were obtained using their optical properties through SVM models, with determination coefficients of prediction (R2p) of 0.866-0.917, and residual predictive deviation (RPD) of 2.626-3.190. These results were consistent with correlation results between optical properties and the two quality parameters, suggesting the former can be used for predicting PSP quality during drying.
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Affiliation(s)
- Jing Peng
- College of Food Science and Technology, Nanjing Agricultural University, No. 1 Weigang Road, Nanjing 210095, China
| | - Ke Wang
- College of Food Science and Technology, Nanjing Agricultural University, No. 1 Weigang Road, Nanjing 210095, China
| | - Chen Ma
- College of Food Science and Technology, Nanjing Agricultural University, No. 1 Weigang Road, Nanjing 210095, China
| | - Jiamei Long
- College of Food Science and Technology, Nanjing Agricultural University, No. 1 Weigang Road, Nanjing 210095, China
| | - Kang Tu
- College of Food Science and Technology, Nanjing Agricultural University, No. 1 Weigang Road, Nanjing 210095, China
| | - Leiqing Pan
- College of Food Science and Technology, Nanjing Agricultural University, No. 1 Weigang Road, Nanjing 210095, China.
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Isnaeni I, Zufara BS, Lewa IWL. ALTERNATIVE OPTICAL METHODS FOR QUALITATIVE DETECTION OF VITAMIN B6 AND B12 OF BANANA. JURNAL TEKNOLOGI DAN INDUSTRI PANGAN 2020. [DOI: 10.6066/jtip.2020.31.2.147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Bananas are known to contain fiber and vitamins essential for human body. Thus, the ability to detect these of vitamin in bananas is crucial. Information in the vitamin content of can affect procedures for harverst and post-harvest process. Methods to determine the nutrition content of foods are usually carried out using High Performance Liquid Chromatography (HPLC). However, this method requires complex sample preparation and chemical reaction processes. Due to this weakness, alternative techniques are needed to detect vitamin in simple ways. In this study, a simple, easy and fast methods to determine the vitamin content of banana was developed. Using reflectance and photoluminence spectroscopy, the vitamin of bananas from five different species were able to be identified. From the reflectance spectra results, two peaks were observed, the first peak at a wavelength of 325 nm is the absorption peak of vitamin B6 and the second peak at 450 nm is the absorption peak of vitamin B12. From the photoluminence spectra using excitation wavelength at 325 nm, an emission peak was found at wavelength 450 nm which is the peak emission from vitamin B6. These results proved that by using the methods proposed, the detection of vitamins in bananas can be done in an easy and simple ways.
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Hu D, Lu R, Ying Y. Spatial-frequency domain imaging coupled with frequency optimization for estimating optical properties of two-layered food and agricultural products. J FOOD ENG 2020. [DOI: 10.1016/j.jfoodeng.2020.109909] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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12
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Li M, Lan B, Sankin G, Zhou Y, Liu W, Xia J, Wang D, Trahey G, Zhong P, Yao J. Simultaneous Photoacoustic Imaging and Cavitation Mapping in Shockwave Lithotripsy. IEEE TRANSACTIONS ON MEDICAL IMAGING 2020; 39:468-477. [PMID: 31329550 PMCID: PMC6960366 DOI: 10.1109/tmi.2019.2928740] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Kidney stone disease is a major health problem worldwide. Shockwave lithotripsy (SWL), which uses high-energy shockwave pulses to break up kidney stones, is extensively used in clinic. However, despite its noninvasiveness, SWL can produce cavitation in vivo. The rapid expansion and violent collapse of cavitation bubbles in small blood vessels may result in renal vascular injury. To better understand the mechanism of tissue injury and improve treatment safety and efficiency, it is highly desirable to concurrently detect cavitation and vascular injury during SWL. Current imaging modalities used in SWL ( e.g. , C-arm fluoroscopy and B-mode ultrasound) are not sensitive to vascular injuries. By contrast, photoacoustic imaging is a non-invasive and non-radiative imaging modality that is sensitive to blood, by using hemoglobin as the endogenous contrast. Moreover, photoacoustic imaging is also compatible with passive cavitation detection by sharing the ultrasound detection system. Here, we have integrated shockwave treatment, photoacoustic imaging, and passive cavitation detection into a single system. Our experimental results on phantoms and in vivo small animals have collectively demonstrated that the integrated system is capable of capturing shockwave-induced cavitation and the resultant vascular injury simultaneously. We expect that the integrated system, when combined with our recently developed internal-light-illumination photoacoustic imaging, will find important applications for monitoring shockwave-induced vascular injury in deep tissues during SWL.
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Affiliation(s)
- Mucong Li
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Bangxin Lan
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Georgii Sankin
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
| | - Yuan Zhou
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Wei Liu
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Jun Xia
- Department of Biomedical Engineering, University of Buffalo, Buffalo, NY 14260, USA
| | - Depeng Wang
- Department of Biomedical Engineering, University of Buffalo, Buffalo, NY 14260, USA
| | - Gregg Trahey
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Pei Zhong
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA
- P. Zhong, , J. Yao,
| | - Junjie Yao
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
- P. Zhong, , J. Yao,
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Xie D, Guo W. Measurement and Calculation Methods on Absorption and Scattering Properties of Turbid Food in Vis/NIR Range. FOOD BIOPROCESS TECH 2020. [DOI: 10.1007/s11947-020-02402-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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14
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Yeong TJ, Pin Jern K, Yao LK, Hannan MA, Hoon STG. Applications of Photonics in Agriculture Sector: A Review. Molecules 2019; 24:E2025. [PMID: 31137897 PMCID: PMC6571790 DOI: 10.3390/molecules24102025] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 05/10/2019] [Accepted: 05/12/2019] [Indexed: 11/17/2022] Open
Abstract
The agricultural industry has made a tremendous contribution to the foundations of civilization. Basic essentials such as food, beverages, clothes and domestic materials are enriched by the agricultural industry. However, the traditional method in agriculture cultivation is labor-intensive and inadequate to meet the accelerating nature of human demands. This scenario raises the need to explore state-of-the-art crop cultivation and harvesting technologies. In this regard, optics and photonics technologies have proven to be effective solutions. This paper aims to present a comprehensive review of three photonic techniques, namely imaging, spectroscopy and spectral imaging, in a comparative manner for agriculture applications. Essentially, the spectral imaging technique is a robust solution which combines the benefits of both imaging and spectroscopy but faces the risk of underutilization. This review also comprehends the practicality of all three techniques by presenting existing examples in agricultural applications. Furthermore, the potential of these techniques is reviewed and critiqued by looking into agricultural activities involving palm oil, rubber, and agro-food crops. All the possible issues and challenges in implementing the photonic techniques in agriculture are given prominence with a few selective recommendations. The highlighted insights in this review will hopefully lead to an increased effort in the development of photonics applications for the future agricultural industry.
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Affiliation(s)
- Tan Jin Yeong
- Institute of Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia.
| | - Ker Pin Jern
- Institute of Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia.
| | - Lau Kuen Yao
- Institute of Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia.
| | - M A Hannan
- Institute of Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia.
| | - Shirley Tang Gee Hoon
- Microbiology Unit, Department of Pre-clinical, International Medical School, Management and Science University, University Drive, Off Persiaran Olahraga, Seksyen 13, Shah Alam 40100, Selangor, Malaysia.
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Applications of Non-destructive Technologies for Agricultural and Food Products Quality Inspection. SENSORS 2019; 19:s19040846. [PMID: 30781709 PMCID: PMC6413199 DOI: 10.3390/s19040846] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 01/19/2019] [Accepted: 01/19/2019] [Indexed: 01/15/2023]
Abstract
The quality and safety of food is an increasing concern for worldwide business. Non-destructive methods (NDM), as a means of assessment and instrumentation have created an esteemed value in sciences, especially in food industries. Currently, NDM are useful because they allow the simultaneous measurement of chemical and physical data from food without destruction of the substance. Additionally, NDM can obtain both quantitative and qualitative data at the same time without separate analyses. Recently, many studies on non-destructive detection measurements of agro-food products and final quality assessment of foods were reported. As a general statement, the future of using NDM for assessing the quality of food and agricultural products is bright; and it is possible to come up with interesting findings through development of more efficient and precise imaging systems like the machine vision technique. The present review aims to discuss the application of different non-destructive methods (NDM) for food quality and safety evaluation.
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17
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Li M, Lan B, Liu W, Xia J, Yao J. Internal-illumination photoacoustic computed tomography. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-4. [PMID: 29573255 DOI: 10.1117/1.jbo.23.3.030506] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 03/05/2018] [Indexed: 05/07/2023]
Abstract
We report a photoacoustic computed tomography (PACT) system using a customized optical fiber with a cylindrical diffuser to internally illuminate deep targets. The traditional external light illumination in PACT usually limits the penetration depth to a few centimeters from the tissue surface, mainly due to strong optical attenuation along the light propagation path from the outside in. By contrast, internal light illumination, with external ultrasound detection, can potentially detect much deeper targets. Different from previous internal illumination PACT implementations using forward-looking optical fibers, our internal-illumination PACT system uses a customized optical fiber with a 3-cm-long conoid needle diffuser attached to the fiber tip, which can homogeneously illuminate the surrounding space and substantially enlarge the field of view. We characterized the internal illumination distribution and PACT system performance. We performed tissue phantom and in vivo animal studies to further demonstrate the superior imaging depth using internal illumination over external illumination. We imaged a 7.5-cm-deep leaf target embedded in optically scattering medium and the beating heart of a mouse overlaid with 3.7-cm-thick chicken tissue. Our results have collectively demonstrated that the internal light illumination combined with external ultrasound detection might be a useful strategy to improve the penetration depth of PACT in imaging deep organs of large animals and humans.
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Affiliation(s)
- Mucong Li
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Bangxin Lan
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Wei Liu
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Jun Xia
- University at Buffalo North Campus, Department of Biomedical Engineering, Buffalo, New York, United States
| | - Junjie Yao
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
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18
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Applications of hyperspectral imaging for quality assessment of liquid based and semi-liquid food products: A review. J FOOD ENG 2017. [DOI: 10.1016/j.jfoodeng.2017.06.012] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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19
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Zhang B, Dai D, Huang J, Zhou J, Gui Q, Dai F. Influence of physical and biological variability and solution methods in fruit and vegetable quality nondestructive inspection by using imaging and near-infrared spectroscopy techniques: A review. Crit Rev Food Sci Nutr 2017; 58:2099-2118. [DOI: 10.1080/10408398.2017.1300789] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Baohua Zhang
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, PR China
| | - Dejian Dai
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, PR China
| | - Jichao Huang
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, PR China
| | - Jun Zhou
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, PR China
| | - Qifa Gui
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, PR China
| | - Fang Dai
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, PR China
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Stocker S, Foschum F, Krauter P, Bergmann F, Hohmann A, Scalfi Happ C, Kienle A. Broadband Optical Properties of Milk. APPLIED SPECTROSCOPY 2017; 71:951-962. [PMID: 27770046 DOI: 10.1177/0003702816666289] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Dairy products play an important role in our daily nutrition. As a turbid scattering medium with different kinds of particles and droplets, each alteration of these components changes the scattering properties of milk. The goal of this work is the determination of the amount of main scattering components, the fat droplets and the casein micelles, by understanding the light propagation in homogenized milk and in raw milk. To provide the absolute impact of these milk components, the geometrical and optical properties such as the size distribution and the refractive index (RI) of the components have to be examined. We determined the reduced scattering coefficient [Formula: see text] and the absorption coefficient [Formula: see text] from integrating sphere measurements. By use of a collimated transmission setup, the scattering coefficient [Formula: see text] was measured. Size measurements were performed to validate the influence of the fat droplet size on the results of the scattering properties; also, the RI of both components was determined by the said coefficients. These results were used to determine the absolute impact of the milk components on the scattering behavior. By fitting Mie theory calculations on scattering spectra [Formula: see text] and [Formula: see text] from different raw milk samples, it was possible to get reliable values for the concentrations of fat and casein and for the size of the fat droplets. By destroying the casein micelles, it was possible to separate the influence of the different scattering components on scattering behavior.
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Affiliation(s)
- Sabrina Stocker
- Institut für Lasertechnologien in der Medizin und Meßtechnik, Ulm, Germany
| | - Florian Foschum
- Institut für Lasertechnologien in der Medizin und Meßtechnik, Ulm, Germany
| | - Philipp Krauter
- Institut für Lasertechnologien in der Medizin und Meßtechnik, Ulm, Germany
| | - Florian Bergmann
- Institut für Lasertechnologien in der Medizin und Meßtechnik, Ulm, Germany
| | - Ansgar Hohmann
- Institut für Lasertechnologien in der Medizin und Meßtechnik, Ulm, Germany
| | | | - Alwin Kienle
- Institut für Lasertechnologien in der Medizin und Meßtechnik, Ulm, Germany
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21
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Innovative Hyperspectral Imaging-Based Techniques for Quality Evaluation of Fruits and Vegetables: A Review. APPLIED SCIENCES-BASEL 2017. [DOI: 10.3390/app7020189] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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22
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Line-Scan Hyperspectral Imaging Techniques for Food Safety and Quality Applications. APPLIED SCIENCES-BASEL 2017. [DOI: 10.3390/app7020125] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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23
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Zhang S, Li G, Wang J, Wang D, Han Y, Liu M, Lin L. Reduction of package-induced error for the composition analysis of in-package liquid products based on transmission spectrum. RSC Adv 2017. [DOI: 10.1039/c7ra00634a] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The influence of packaging on the spectral analysis of in-package liquid products was studied in this work, and a method was proposed to formulate a calibration model to inhibit the effect of different absorptions of the package due to different thicknesses of the package.
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Affiliation(s)
- Shengzhao Zhang
- State Key Laboratory of Precision Measurement Technology and Instrument
- Tianjin University
- Tianjin 300072
- China
- Tianjin Key Laboratory of Biomedical Detection Techniques & Instruments
| | - Gang Li
- State Key Laboratory of Precision Measurement Technology and Instrument
- Tianjin University
- Tianjin 300072
- China
- Tianjin Key Laboratory of Biomedical Detection Techniques & Instruments
| | - Jiexi Wang
- Beijing Institute of Blood Transfusion Medicine
- Academy of Military Medical Sciences
- Beijing
- China
| | - Donggen Wang
- Beijing Institute of Blood Transfusion Medicine
- Academy of Military Medical Sciences
- Beijing
- China
| | - Ying Han
- Beijing Institute of Blood Transfusion Medicine
- Academy of Military Medical Sciences
- Beijing
- China
| | - Minxia Liu
- Beijing Institute of Blood Transfusion Medicine
- Academy of Military Medical Sciences
- Beijing
- China
| | - Ling Lin
- State Key Laboratory of Precision Measurement Technology and Instrument
- Tianjin University
- Tianjin 300072
- China
- Tianjin Key Laboratory of Biomedical Detection Techniques & Instruments
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24
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Pan L, Lu R, Zhu Q, Tu K, Cen H. Predict Compositions and Mechanical Properties of Sugar Beet Using Hyperspectral Scattering. FOOD BIOPROCESS TECH 2016. [DOI: 10.1007/s11947-016-1710-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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25
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Adebayo SE, Hashim N, Abdan K, Hanafi M. Application and potential of backscattering imaging techniques in agricultural and food processing – A review. J FOOD ENG 2016. [DOI: 10.1016/j.jfoodeng.2015.08.006] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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26
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Siche R, Vejarano R, Aredo V, Velasquez L, Saldaña E, Quevedo R. Evaluation of Food Quality and Safety with Hyperspectral Imaging (HSI). FOOD ENGINEERING REVIEWS 2015. [DOI: 10.1007/s12393-015-9137-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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27
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Aernouts B, Erkinbaev C, Watté R, Van Beers R, Do Trong NN, Nicolai B, Saeys W. Estimation of bulk optical properties of turbid media from hyperspectral scatter imaging measurements: metamodeling approach. OPTICS EXPRESS 2015; 23:26049-26063. [PMID: 26480120 DOI: 10.1364/oe.23.026049] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
In many research areas and application domains, the bulk optical properties of biological materials are of great interest. Unfortunately, these properties cannot be obtained easily for complex turbid media. In this study, a metamodeling approach has been proposed and applied for the fast and accurate estimation of the bulk optical properties from contactless and non-destructive hyperspectral scatter imaging (HSI) measurements. A set of liquid optical phantoms, based on intralipid, methylene blue and water, were prepared and the Vis/NIR bulk optical properties were characterized with a double integrating sphere and unscattered transmittance setup. Accordingly, the phantoms were measured with the HSI technique and metamodels were constructed, relating the Vis/NIR reflectance images to the reference bulk optical properties of the samples. The independent inverse validation showed good prediction performance for the absorption coefficient and the reduced scattering coefficient, with R(2)(p) values of 0.980 and 0.998, and RMSE(P) values of 0.032 cm(-1) and 0.197 cm(-1) respectively. The results clearly support the potential of this approach for fast and accurate estimation of the bulk optical properties of turbid media from contactless HSI measurements.
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Abildgaard OHA, Kamran F, Dahl AB, Skytte JL, Nielsen FD, Thomsen CL, Andersen PE, Larsen R, Frisvad JR. Non-invasive assessment of dairy products using spatially resolved diffuse reflectance spectroscopy. APPLIED SPECTROSCOPY 2015; 69:1096-1105. [PMID: 26254193 DOI: 10.1366/14-07529] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The quality of a dairy product is largely determined by its microstructure which also affects its optical properties. Consequently, an assessment of the optical properties during production may be part of a feedback system for ensuring the quality of the production process. This paper presents a novel camera-based measurement technique that enables robust quantification of a wide range of reduced scattering coefficients and absorption coefficients. Measurements are based on hyperspectral images of diffuse reflectance in the wavelength range of 470 to 1020 nm. The optical properties of commercially available milk and yogurt products with three different levels of fat content are measured. These constitute a relevant range of products at a dairy plant. The measured reduced scattering properties of the samples are presented and show a clear discrimination between levels of fat contents as well as fermentation. The presented measurement technique and method of analysis is thus suitable for a rapid, non-contact, and non-invasive inspection that can deduce physically interpretable properties.
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Affiliation(s)
- Otto H A Abildgaard
- Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2800 Kgs. Lyngby, Denmark
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29
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Kamran F, Andersen PE. Sensitivity analysis for oblique incidence reflectometry using Monte Carlo simulations. APPLIED OPTICS 2015; 54:7099-7105. [PMID: 26368382 DOI: 10.1364/ao.54.007099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Oblique incidence reflectometry has developed into an effective, noncontact, and noninvasive measurement technology for the quantification of both the reduced scattering and absorption coefficients of a sample. The optical properties are deduced by analyzing only the shape of the reflectance profiles. This article presents a sensitivity analysis of the technique in turbid media. Monte Carlo simulations are used to investigate the technique and its potential to distinguish the small changes between different levels of scattering. We present various regions of the dynamic range of optical properties in which system demands vary to be able to detect subtle changes in the structure of the medium, translated as measured optical properties. Effects of variation in anisotropy are discussed and results presented. Finally, experimental data of milk products with different fat content are considered as examples for comparison.
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30
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Lorente D, Zude M, Idler C, Gómez-Sanchis J, Blasco J. Laser-light backscattering imaging for early decay detection in citrus fruit using both a statistical and a physical model. J FOOD ENG 2015. [DOI: 10.1016/j.jfoodeng.2015.01.004] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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31
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Naito H, Ogawa Y, Kubota A, Kondo N. Attenuated total reflectance terahertz spectroscopy for quantitative measurement of somatic cell count in bovine milk. ACTA ACUST UNITED AC 2015. [DOI: 10.1016/j.eaef.2015.04.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Monte Carlo simulation of laser beams interaction with the human eye using Geant4. Biomed Eng Online 2014; 13:58. [PMID: 24885872 PMCID: PMC4026188 DOI: 10.1186/1475-925x-13-58] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Accepted: 04/29/2014] [Indexed: 11/10/2022] Open
Abstract
Background Due to the unique characteristics of the eye, ophthalmologic diagnostic techniques often rely on the photons interaction with the retina to infer its internal structure. Although these techniques are widely used, the interpretation of the generated images is not always fully understood, as in scanning laser ophthalmoscopy dark field imaging. This limits the exploitation of its full potential as a diagnostic tool for deep abnormalities in the retina, as in the situation of drusen. Methods With the aim of better understanding the retinal diagnostic images, we have carried out computer simulations of incident laser beams interacting with different structures of the human eye, including a retina with and without drusen. We have used the Geant4 simulation toolkit, applying the optical package of the electromagnetic (EM) physics working group, to simulate the physical processes of reflection, refraction, absorption, and scattering of low energy photons (2 eV) in biological tissues. For each simulation it was used a single beam of orange light, with a Gaussian profile, that travels through all optical elements of the eye. The reflected beam characteristics were analyzed by virtual detectors in different locations, which collected information about the number and position of photons. The geometry and optical properties of all components of the eye were considered according to the published data. Results Simulation results put in evidence that the presence of drusen influences the profile of the reflected beams. It changes the mean free path of the photons, modifying its reflection pattern, which depends on the area illuminated by the incident beam. This result is also visible when the reflected beam is analyzed outside of the eye, when the profile has no longer a symmetrical Gaussian distribution. These results will support the retinal diagnostic images that will be obtained in a near future with a new developed ophthalmic apparatus. Conclusions The shape analysis of the reflected beams in retinal laser scanning techniques could increase its potential as a diagnostic examination tool for the deeper structures of the retina.
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Tao F, Peng Y. A method for nondestructive prediction of pork meat quality and safety attributes by hyperspectral imaging technique. J FOOD ENG 2014. [DOI: 10.1016/j.jfoodeng.2013.11.006] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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35
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Intawiwat N, Wold J, Skaret J, Rukke E, Pettersen M. Minimizing photooxidation in pasteurized milk by optimizing light transmission properties of green polyethylene films. J Dairy Sci 2013; 96:6818-6829. [DOI: 10.3168/jds.2013-6584] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2013] [Accepted: 07/27/2013] [Indexed: 11/19/2022]
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36
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Qin J, Chao K, Kim MS, Lu R, Burks TF. Hyperspectral and multispectral imaging for evaluating food safety and quality. J FOOD ENG 2013. [DOI: 10.1016/j.jfoodeng.2013.04.001] [Citation(s) in RCA: 207] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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37
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Montcel B, Mahieu-Williame L, Armoiry X, Meyronet D, Guyotat J. Two-peaked 5-ALA-induced PpIX fluorescence emission spectrum distinguishes glioblastomas from low grade gliomas and infiltrative component of glioblastomas. BIOMEDICAL OPTICS EXPRESS 2013; 4:548-58. [PMID: 23577290 PMCID: PMC3617717 DOI: 10.1364/boe.4.000548] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2013] [Revised: 02/28/2013] [Accepted: 03/08/2013] [Indexed: 05/22/2023]
Abstract
5-ALA-induced protoporphyrin IX (PpIX) fluorescence enables to guiding in intra-operative surgical glioma resection. However at present, it has yet to be shown that this method is able to identify infiltrative component of glioma. In extracted tumor tissues we measured a two-peaked emission in low grade gliomas and in the infiltrative component of glioblastomas due to multiple photochemical states of PpIX. The second emission peak appearing at 620 nm (shifted by 14 nm from the main peak at 634 nm) limits the sensibility of current methods to measured PpIX concentration. We propose new measured parameters, by taking into consideration the two-peaked emission, to overcome these limitations in sensitivity. These parameters clearly distinguish the solid component of glioblastomas from low grade gliomas and infiltrative component of glioblastomas.
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Affiliation(s)
- Bruno Montcel
- CREATIS; Université de Lyon; Université Lyon1; CNRS UMR5220; INSERM U1044; INSA Lyon, Villeurbanne, France
| | - Laurent Mahieu-Williame
- CREATIS; Université de Lyon; Université Lyon1; CNRS UMR5220; INSERM U1044; INSA Lyon, Villeurbanne, France
| | - Xavier Armoiry
- Pharmacy Department/Cellule Innovation; Groupement Hospitalier Est; Hospices Civils de Lyon, Bron, France
| | - David Meyronet
- ONCOFLAM, Inserm U1028; CNRS UMR5292; Neuroscience Center, Université Lyon1, Lyon, F-69000, France
- Hospices Civils de Lyon, Centre de Pathologie et de Neuropathologie Est, Lyon, F-69003, France
| | - Jacques Guyotat
- Service de Neurochirurgie D; Hospices Civils de Lyon, Bron, France
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Zhu Q, Huang M, Zhao X, Wang S. Wavelength Selection of Hyperspectral Scattering Image Using New Semi-supervised Affinity Propagation for Prediction of Firmness and Soluble Solid Content in Apples. FOOD ANAL METHOD 2012. [DOI: 10.1007/s12161-012-9442-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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39
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Mollazade K, Omid M, Tab FA, Mohtasebi SS. Principles and Applications of Light Backscattering Imaging in Quality Evaluation of Agro-food Products: a Review. FOOD BIOPROCESS TECH 2012. [DOI: 10.1007/s11947-012-0821-x] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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40
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Tao F, Peng Y, Li Y, Chao K, Dhakal S. Simultaneous determination of tenderness and Escherichia coli contamination of pork using hyperspectral scattering technique. Meat Sci 2012; 90:851-7. [DOI: 10.1016/j.meatsci.2011.11.028] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2010] [Revised: 10/07/2011] [Accepted: 11/14/2011] [Indexed: 11/27/2022]
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Cen H, Lu R. Optimization of the hyperspectral imaging-based spatially-resolved system for measuring the optical properties of biological materials. OPTICS EXPRESS 2010; 18:17412-32. [PMID: 20721128 DOI: 10.1364/oe.18.017412] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
This paper reports on the optimization and assessment of a hyperspectral imaging-based spatially-resolved system for determination of the optical properties of biological materials over the wavelengths of 500-1,000 nm. Twelve model samples covering a wide range of absorption and reduced scattering coefficients were created to validate the hyperspectral imaging system, and their true values of absorption and reduced scattering coefficients were determined and then cross-validated using three commonly used methods (i.e., transmittance, integrating sphere, and empirical equation). Light beam and source-detector distance were optimized through Monte Carlo simulations and experiments for the model samples. The optimal light beam should be of Gaussian type with the diameter of less than 1 mm, and the optimal minimum and maximum source-detector distance should be 1.5 mm and 10-20 mean free paths, respectively. The optimized hyperspectral imaging-based spatially-resolved system achieved good estimation of the optical parameters.
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Affiliation(s)
- Haiyan Cen
- Department of Biosystems and Agricultural Engineering, 105A Farrall Hall, Michigan State University, East Lansing, Michigan 48824, USA
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Cen H, Lu R. Quantification of the optical properties of two-layer turbid materials using a hyperspectral imaging-based spatially-resolved technique. APPLIED OPTICS 2009; 48:5612-23. [PMID: 19823246 DOI: 10.1364/ao.48.005612] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Recent research has shown that a hyperspectral imaging-based spatially-resolved technique is useful for determining the optical properties of homogenous fruits and food products. To better characterize fruit properties and quality attributes, it is desirable to consider fruit to be composed of two homogeneous layers of skin and flesh. This research was aimed at developing a nondestructive method to determine the absorption and scattering properties of two-layer turbid materials with the characteristics of fruit. An inverse algorithm along with the sensitivity coefficient analysis for a two-layer diffusion model was developed for the extraction of optical properties from the spatially-resolved diffuse reflectance data acquired using a hyperspectral imaging system. The diffusion model and the inverse algorithm were validated with Monte Carlo simulations and experimental measurements from solid model samples of known optical properties. The average errors of determining two and four optical parameters were 6.8% and 15.3%, respectively, for Monte Carlo reflectance data. The optical properties of the first or top layer of the model samples were determined with errors of less than 23.0% for the absorption coefficient and 18.4% for the reduced scattering coefficient. The inverse algorithm did not give acceptable estimations for the second or lower layer of the model samples. While the hyperspectral imaging-based spatially-resolved technique has the potential to measure the optical properties of two-layer turbid materials like fruits and food products, further improvements are needed in determining the optical properties of the second layer.
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Affiliation(s)
- Haiyan Cen
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, Michigan 48824, USA
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Zhao J, Chen Q, Cai J, Ouyang Q. Automated tea quality classification by hyperspectral imaging. APPLIED OPTICS 2009; 48:3557-3564. [PMID: 19571909 DOI: 10.1364/ao.48.003557] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
A hyperspectral imaging technique was attempted to classify green tea. Five grades of green tea samples were attempted. A hyperspectral imaging system was developed for data acquisition of tea samples. Principal component analysis was performed on the hyperspectral data to determine three optimal band images. Texture analysis was conducted on each optimal band image to extract characteristic variables. A support vector machine (SVM) was used to construct the classification model. The classification rates were 98% and 95% in the training and prediction sets, respectively. The SVM algorithm shows excellent performance in classification results in contrast with other pattern recognitions classifiers. Overall results show that the hyperspectral imaging technique coupled with a SVM classifier can be efficiently utilized to classify green tea.
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Affiliation(s)
- Jiewen Zhao
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
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Bhatia S, Ragheb J, Johnson M, Oh S, Sandberg DI, Lin WC. The role of optical spectroscopy in epilepsy surgery in children. Neurosurg Focus 2009; 25:E24. [PMID: 18759626 DOI: 10.3171/foc/2008/25/9/e24] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECT Surgery is an important therapeutic modality for pediatric patients with intractable epilepsy. However, existing imaging and diagnostic technologies such as MR imaging and electrocochleography (ECoG) do not always effectively delineate the true resection margin of an epileptic cortical lesion because of limitations in their sensitivity. Optical spectroscopic techniques such as fluorescence and diffuse reflectance spectroscopy provide a nondestructive means of gauging the physiological features of the brain in vivo, including hemodynamics and metabolism. In this study, the authors investigate the feasibility of using combined fluorescence and diffuse reflectance spectroscopy to assist epilepsy surgery in children. METHODS In vivo static fluorescence and diffuse reflectance spectra were acquired from the brain in children undergoing epilepsy surgery. Spectral measurements were obtained using a portable spectroscopic system in conjunction with a fiber optic probe. The optical investigations were conducted at the normal and abnormal cortex as defined by intraoperative ECoG and preoperative imaging studies. Biopsy samples were taken from the investigated sites located within the zone of resection. The optical spectra were classified into multiple subsets in accordance with the ECoG and histological study results. The authors used statistical comparisons between 2 given data subsets to identify unique spectral features. Empirical discrimination algorithms were developed using the identified spectral features to determine if the objective of the study was achieved. RESULTS Fifteen pediatric patients were enrolled in this pilot study. Elevated diffuse reflectance signals between 500 and 600 nm and/or between 650 and 850 nm were observed commonly in the investigated sites with abnormal ECoG and/or histological features in 10 patients. The appearance of a fluorescent peak at 400 nm was observed in both normal and abnormal cortex of 5 patients. These spectral alterations were attributed to changes in morphological and/or biochemical characteristics of the epileptic cortex. The sensitivities and specificities of the empirical discrimination algorithms, which were constructed using the identified spectral features, were all > 90%. CONCLUSIONS The results of this study demonstrate the feasibility of using static fluorescence and diffuse reflectance spectroscopy to differentiate normal from abnormal cortex on the basis of intraoperative assessment of ECoG and histological features. It is therefore possible to use fluorescence and diffuse reflectance spectroscopy as an aid in epilepsy surgery.
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Affiliation(s)
- Sanjiv Bhatia
- Brain Institute, Miami Children's Hospital, Miami, Florida 33131, USA
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45
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Visible-near infrared spectroscopy sensor for predicting curd and whey composition during cheese processing. ACTA ACUST UNITED AC 2009. [DOI: 10.1007/s11694-009-9073-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Xing J, Guyer D, Ariana D, Lu R. Determining optimal wavebands using genetic algorithm for detection of internal insect infestation in tart cherry. ACTA ACUST UNITED AC 2008. [DOI: 10.1007/s11694-008-9047-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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47
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Wang W, Paliwal J. Near-infrared spectroscopy and imaging in food quality and safety. ACTA ACUST UNITED AC 2007. [DOI: 10.1007/s11694-007-9022-0] [Citation(s) in RCA: 86] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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