Article
Instruments & Instrumentation
Jiaying Wang, Laijun Sun, Wang Xing, Guojun Feng, Jun Yang, Jiajia Li, Wangsheng Li
Summary: In this study, hyperspectral image technology was used for predicting the germination performance of sugarbeet seeds. Nondestructive prediction method was proposed and a combination of spectral and image features resulted in more accurate prediction. The CatBoost model achieved a prediction accuracy of 93.52%, indicating the effectiveness of the fusion features in germination prediction.
APPLIED SPECTROSCOPY
(2023)
Article
Chemistry, Applied
Naiyue Hu, Wei Li, Chenghang Du, Zhen Zhang, Yanmei Gao, Zhencai Sun, Li Yang, Kang Yu, Yinghua Zhang, Zhimin Wang
Summary: This study investigated the potential of using hyperspectral imaging to predict wheat micronutrient content, with results showing higher prediction accuracy for wheat kernels compared to flour, and good predictions for Ca, Mg, Mo, and Zn.
Review
Chemistry, Analytical
Priyanka Reddy, Kathryn M. Guthridge, Joe Panozzo, Emma J. Ludlow, German C. Spangenberg, Simone J. Rochfort
Summary: Near-infrared spectroscopy coupled to hyperspectral imaging has widened its application in various industries, particularly in the analysis of seed quality in agriculture.
Article
Chemistry, Analytical
Shuheng Zhang, Hanguo Zeng, Wei Ji, Kun Yi, Shuangfeng Yang, Peisheng Mao, Zhanjun Wang, Hongqian Yu, Manli Li
Summary: Seed vigor is an important index for evaluating seed quality. In this study, multispectral technology and multivariate analysis were used to analyze the morphological and spectral information of alfalfa seeds, successfully distinguishing and predicting seed vigor, viability, and germination percentage.
Article
Engineering, Multidisciplinary
Bin Wang, Ming Ren, Changjie Xia, Qianyu Li, Ming Dong, Chongxing Zhang, Chenxi Guo, Wenjun Liu, Oliver Pischler
Summary: Composite insulators are widely used in transmission line and power equipment due to their high mechanical strength and antifouling property. This paper proposes an efficient aging evaluation method based on multispectral and hyperspectral imaging technologies, which utilizes spatial clustering and gray value analysis to assess the aging degree of samples.
Article
Spectroscopy
Lei Pang, Jinghua Wang, Sen Men, Lei Yan, Jiang Xiao
Summary: This study investigated the feasibility of estimating and forecasting the vitality of different Quercus variabilis seeds using hyperspectral imaging. Accelerated aging facilitated the differentiation of four vitality levels. The research showed that accurate prediction of seed vitality can be achieved non-destructively, providing new methods and insights for seed studies.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Chemistry, Analytical
Priscilla Dantas Rocha, Everaldo Paulo Medeiros, Carolina Santos Silva, Simone da Silva Simoes
Summary: A new methodology based on HSI-NIR was proposed in this paper to distinguish conventional from transgenic cotton seeds, using three different chemometric approaches and evaluating their performances. Specificity and sensitivity values varied between 0.78-0.92 and 0.62-0.93 for the different approaches.
ANALYTICAL METHODS
(2021)
Review
Dermatology
Lt. Pushkar Aggarwal, Francis A. Papay
Summary: Multispectral/hyperspectral imaging plays an important role in dermatology diagnostics by providing novel information about skin lesions at the cellular level. Current research focuses on distinguishing melanoma from benign nevi for non-invasive diagnosis. Combining multispectral/hyperspectral imaging with smartphones is also being explored for creating portable and affordable devices.
EXPERIMENTAL DERMATOLOGY
(2022)
Article
Agriculture, Multidisciplinary
Lei Pang, Lianming Wang, Peng Yuan, Lei Yan, Qing Yang, Jiang Xiao
Summary: This study focused on rapid identification of Sophora japonica seed viability through analyzing different aging grades and imbibition states. It was found that fat was the most sensitive indicator to spectral and viability changes. The deep learning model combining image performed the best with recognition accuracy above 90%. Particle swarm optimization algorithm was proposed to increase recognition rate and convergence speed.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Instruments & Instrumentation
Lei Pang, Lianming Wang, Peng Yuan, Lei Yan, Jiang Xiao
Summary: This research successfully predicts the seed viability of Sophora japonica by combining hyperspectral imaging technology with deep learning methods. One-dimensional deep learning methods outperformed machine learning methods in identifying seed viability. By improving the successive projection algorithm and comparing it with other algorithms, the best detection model was found. The vitality prediction model established based on this model had better performance than the detection model.
INFRARED PHYSICS & TECHNOLOGY
(2022)
Article
Plant Sciences
Deived Uilian de Carvalho, Daniel A. Boakye, Tim Gast, Rui Pereira Leite Junior, Fernando Alferez
Summary: The maturity of citrus rootstock fruits affects seed quality and seedling performance, influencing seed germination and seedling growth.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Agronomy
Xiaolei Guo, Yogesh K. Ahlawat, Tie Liu, Alina Zare
Summary: Currently, there is a lack of objective indicators to monitor the freshness of fresh produce, such as fruit and vegetables. This study aimed to identify potential indicators, such as glucosinolates, to determine the freshness of broccoli. The researchers evaluated the glucosinolate content and gene expression in postharvest broccoli and applied machine learning-based hyperspectral image analysis to detect senescence. The findings of this study provide a promising approach to estimate freshness in broccoli and improve postharvest logistics for high-quality fresh produce.
Article
Biochemical Research Methods
Leonardo Ayala, Fabian Isensee, Sebastian J. Wirkert, Anant S. Vemuri, Klaus H. Maier-Hein, Baowei Fei, Lena Maier-Hein
Summary: Multispectral imaging technique provides valuable information on tissue composition. Real-time application of this technique in interventional medicine is challenging due to long acquisition times for hyperspectral data. This study proposes a new approach to band selection using Monte Carlo simulations, which can reproduce or even improve the results of spectral measurement with a small subset of bands. The investigation also explores domain adaptation techniques to address the domain shift caused by simulations. Preliminary results suggest that 10-20 bands are sufficient to closely reproduce spectral measurements with 101 bands in the 500-700 nm range. The domain adaptation technique, which only requires unlabeled in vivo measurements, outperforms the pure in silico band selection method.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Agriculture, Multidisciplinary
Guangxin Ren, Yujie Wang, Jingming Ning, Zhengzhu Zhang
Summary: This study successfully developed an evaluation method using hyperspectral imaging technology and chemometric algorithms to distinguish authentic Dianhong black tea from other tea categories.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2021)
Article
Acoustics
Ali Hariri, Jorge Palma-Chavez, Keith A. Wear, T. Joshua Pfefer, Jesse V. Jokerst, William C. Vogt
Summary: This study introduces polyacrylamide (PAA) hydrogel as a candidate material for fabricating stable phantoms with well-characterized optical and acoustic properties that are biologically relevant over a broad range of system design parameters. The suitability of PAA phantoms for conducting image quality assessment of PAI systems was evaluated, showing that appropriately tuned PAA phantoms are useful tools for assessing and comparing PAI system image quality and may facilitate future standardization of performance test methodology.
Article
Biochemistry & Molecular Biology
Md. Mizanur Rahman, Mario Shibata, Gamal ElMasry, Naho Nakazawa, Shigeki Nakauchi, Tomoaki Hagiwara, Kazufumi Osako, Emiko Okazaki
BIOSCIENCE BIOTECHNOLOGY AND BIOCHEMISTRY
(2019)
Article
Biochemical Research Methods
Gamal ElMasry, Nasser Mandour, Marie-Helene Wagner, Didier Demilly, Jerome Verdier, Etienne Belin, David Rousseau
Article
Environmental Sciences
Pejman Rasti, Ali Ahmad, Salma Samiei, Etienne Belin, David Rousseau
Article
Food Science & Technology
Gamal ElMasry, Noha Morsy, Salim Al-Rejaie, Charfedinne Ayed, Robert Linforth, Ian Fisk
INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
(2019)
Article
Green & Sustainable Science & Technology
Sameh S. Kishk, Ramadan A. ElGamal, Gamal M. ElMasry
Article
Engineering, Chemical
Gamal ElMasry, Pere Gou, Salim Al-Rejaie
Summary: In this study, a non-iterative method based on the dichromatic reflection model and principle component analysis (PCA) was proposed to detect and remove specular highlight components from hyperspectral images. The method effectively reduced the specularity and significantly improved the quality of the extracted spectral data, outperforming other specularity removal methods over datasets of hyperspectral and multispectral images.
JOURNAL OF FOOD ENGINEERING
(2021)
Article
Nutrition & Dietetics
Hatem M. Abuohashish, Abdullah F. AlAsmari, Mohamed Mohany, Mohammed M. Ahmed, Salim S. Al-Rejaie
Summary: This study finds that morin can protect against altered bone histomorphometry in diabetic rats by modulating the insulin/IGF-1 pathway, restoring bone density and histomorphology, and alleviating systemic oxidative stress.
Review
Chemistry, Analytical
Mohamed Farag Taha, Gamal ElMasry, Mostafa Gouda, Lei Zhou, Ning Liang, Alwaseela Abdalla, David Rousseau, Zhengjun Qiu
Summary: This article comprehensively highlights research efforts devoted to the utilization of automated, fully operated aquaponic systems, discussing all related parameters aligned with smart automation scenarios and IoT supported by examples and research results. It also explores potential gaps in the literature and future contributions related to automated aquaponics. It is expected that aquaponics systems supported with smart control units will become more profitable, intelligent, accurate, and effective.
Article
Green & Sustainable Science & Technology
Mohamed Farag Taha, Ahmed Islam ElManawy, Khalid S. Alshallash, Gamal ElMasry, Khadiga Alharbi, Lei Zhou, Ning Liang, Zhengjun Qiu
Summary: This study developed trustworthy machine learning models to estimate the nitrogen, phosphorus, and potassium contents of aquaponically grown lettuce. By using spectral measurements and various algorithms, predictive models were established for automatic nutrient estimation, resulting in improved intelligence and precision in aquaponics.
Review
Agronomy
Ramadan ElGamal, Cheng Song, Ahmed M. Rayan, Chuanping Liu, Salim Al-Rejaie, Gamal ElMasry
Summary: This article provides an updated overview of the effects of the drying process on bioactive compounds in agricultural products. It discusses how high drying temperatures lead to degradation of vitamin C, phenols, flavonoids, glycosides, and volatile compounds, while relatively low drying temperatures help maintain their activity.
Review
Agriculture, Dairy & Animal Science
Ahmed S. Mandour, Ahmed Farag, Mahmoud A. Y. Helal, Gamal El-Masry, Salim Al-Rejaie, Ken Takahashi, Tomohiko Yoshida, Lina Hamabe, Ryou Tanaka
Summary: Traditional echocardiographic imaging is limited in identifying cardiac diseases before symptoms become clear, thus there is a need for new methods for prediction and early diagnosis. Non-invasive assessment of heart function, particularly diastolic function, is gaining attention. Color M-mode echocardiography (CMME) has shown promising results in non-invasive assessment of diastolic function and its relation to catheterization technique measurements. This technique has potential applications for early identification of cardiac dysfunctions in both animal and human studies.
Article
Biochemistry & Molecular Biology
Safaa M. Kishk, Rania M. Kishk, Asmaa S. A. Yassen, Mohamed S. Nafie, Nader A. Nemr, Gamal ElMasry, Salim Al-Rejaie, Claire Simons