Journal of Spectral Imaging最新文献_第6页

Hyperspectral microscope imaging methods for multiplex detection of Campylobacter 弯曲杆菌多重检测的高光谱显微镜成像方法

Journal of Spectral Imaging Pub Date : 2019-03-10 DOI: 10.1255/JSI.2019.A6

B. Park, M. Eady, B. Oakley, S. Yoon, K. Lawrence, G. Gamble

{"title":"Hyperspectral microscope imaging methods for multiplex detection of Campylobacter","authors":"B. Park, M. Eady, B. Oakley, S. Yoon, K. Lawrence, G. Gamble","doi":"10.1255/JSI.2019.A6","DOIUrl":"https://doi.org/10.1255/JSI.2019.A6","url":null,"abstract":"Campylobacter is an emerging zoonotic bacterial threat in the poultry industry. The current methods for the isolation\u0000 and detection of Campylobacter are culture-based techniques with several selective agars designed to isolate\u0000Campylobacter colonies, which is time-consuming, labour intensive and has low sensitivity. Several immunological and\u0000molecular techniques such as enzyme-linked immunosorbent assay (ELISA) and Latex agglutination are commercially\u0000available for the detection and identification of Campylobacter. However, these methods demand more advanced\u0000instruments as well as specially trained experts. A hyperspectral microscope imaging (HMI) technique with the\u0000fluorescence in situ hybridisation (FISH) technique has the potential for multiplex foodborne pathogen detection. Using\u0000Alexa488 and Cy3 fluorophores, the HMI (450–800 nm) technique was able to identify Campylobacter jejuni stains with\u0000high sensitivity and specificity. In addition, HMI was able to classify six bacteria using scattering intensity from their\u0000spectra without a FISH fluorophore. Overall classification accuracy of quadratic discriminant analysis (QDA) method for\u0000six bacteria including Bifidobacter longum, Campylobacter jejuni, Clostridium perfringens, Enterobacter cloacae,\u0000Lactobacillus salivarius and Shigella flexneri using the HMI technique without fluorescent markers was approximately 88.6\u0000% with pixel-wise classification.","PeriodicalId":37385,"journal":{"name":"Journal of Spectral Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46469423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Hyperspectral imaging as a tool for assessing coral health utilising natural fluorescence 利用天然荧光评估珊瑚健康状况的高光谱成像工具

Journal of Spectral Imaging Pub Date : 2019-03-05 DOI: 10.1255/JSI.2019.A7

J. Teague, J. Willans, M. Allen, T. Scott, J. Day

{"title":"Hyperspectral imaging as a tool for assessing coral health utilising natural fluorescence","authors":"J. Teague, J. Willans, M. Allen, T. Scott, J. Day","doi":"10.1255/JSI.2019.A7","DOIUrl":"https://doi.org/10.1255/JSI.2019.A7","url":null,"abstract":"Fluorescent proteins are a crucial visualisation tool in a myriad of research fields including cell biology,\u0000microbiology and medicine. Fluorescence is a result of the absorption of electromagnetic radiation at one wavelength and\u0000its reemission at a longer wavelength. Coral communities exhibit a natural fluorescence which can be used to distinguish\u0000between diseased and healthy specimens, however, current methods, such as the underwater visual census, are\u0000expensive and time-consuming constituting many manned dive hours. We propose the use of a remotely operated vehicle\u0000mounted with a novel hyperspectral fluorescence imaging (HyFI) “payload” for more rapid surveying and data collection.\u0000We have tested our system in a laboratory environment on common coral species including Seriatopora spp., Montipora\u0000verrucosa, Montipora spp., Montipora capricornis, Echinopora lamellose, Euphyllia ancora, Pocillopora damicornis and\u0000Montipora confusa. With the aid of hyperspectral imaging, the coral specimens’ emission wavelengths can be accurately\u0000assessed by capturing the emission spectra of the corals when excited with light emitting diodes (395–405 and 440 nm).\u0000Fluorescence can also provide an indicator of coral bleaching as shown in our bleaching experiment where we observe\u0000fluorescence reduction alongside coral bleaching.","PeriodicalId":37385,"journal":{"name":"Journal of Spectral Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45890045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Effect of colony age on near infrared hyperspectral images of foodborne bacteria 菌落年龄对食源性细菌近红外高光谱图像的影响

Journal of Spectral Imaging Pub Date : 2019-01-30 DOI: 10.1255/JSI.2019.A5

P. Williams, Terri-Lee Kammies, P. Gouws, M. Manley

{"title":"Effect of colony age on near infrared hyperspectral images of foodborne bacteria","authors":"P. Williams, Terri-Lee Kammies, P. Gouws, M. Manley","doi":"10.1255/JSI.2019.A5","DOIUrl":"https://doi.org/10.1255/JSI.2019.A5","url":null,"abstract":"Near infrared hyperspectral imaging (NIR-HSI) and multivariate image analysis were used to distinguish between\u0000foodborne pathogenic bacteria, Bacillus cereus, Escherichia coli, Salmonella Enteritidis, Staphylococcus aureus and a non-\u0000pathogenic bacterium, Staphylococcus epidermidis. Hyperspectral images of bacteria, streaked out on Luria—Bertani agar,\u0000 were acquired after 20 h, 40 h and 60 h growth at 37 °C using a SisuCHEMA hyperspectral pushbroom imaging system\u0000with a spectral range of 920–2514 nm. Three different pre-processing methods: standard normal variate (SNV),\u0000Savitzky—Golay (1stderivative, 2nd order polynomial, 15-point smoothing) and Savitzky—Golay (2nd derivative, 3rd order\u0000polynomial, 15-point smoothing) were evaluated. SNV provided the most distinct clustering in the principal component\u0000score plots and was thus used as the sole pre-processing method. Partial least squares discriminant analysis (PLS-DA)\u0000models were developed for each growth period and was tested on a second set of plates, to determine the effect the age\u0000 of the colony has on classification accuracies. The highest overall prediction accuracies where test plates required the\u0000least amount of growth time, was found with models built after 60 h growth and tested on plates after 20 h growth.\u0000Predictions for bacteria differentiation within these models ranged from 83.1 % to 98.8 % correctly predicted\u0000pixels.","PeriodicalId":37385,"journal":{"name":"Journal of Spectral Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44249662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Application of hyperspectral imaging and chemometrics for classifying plastics with brominated flameretardants 高光谱成像和化学计量学在溴化阻燃塑料分类中的应用

Journal of Spectral Imaging Pub Date : 2019-01-22 DOI: 10.1255/JSI.2019.A1

D. Caballero, M. Bevilacqua, J. Amigo

{"title":"Application of hyperspectral imaging and chemometrics for classifying plastics with brominated flame\u0000retardants","authors":"D. Caballero, M. Bevilacqua, J. Amigo","doi":"10.1255/JSI.2019.A1","DOIUrl":"https://doi.org/10.1255/JSI.2019.A1","url":null,"abstract":"Most plastics need to incorporate flame retardants to meet fire safety standards requirements. The amount and the\u0000 type of flame retardants can differ, so that in waste plastics a large variety of polymers and flame retardants can be\u0000found. The recycling of plastics containing flame retardants is increasing. However, only plastics of the same polymer type\u0000 and the same additive content can be recycled together. Three models based on different chemometrics techniques\u0000applied to hyperspectral imaging in the near infrared range were developed [partial least square-discriminant analysis,\u0000decision tree (DT) and hierarchical model (HM)]. Optimal results were obtained for all classification techniques. HM shows\u0000the highest error at all levels due to the noisy spectra of the black plastics. However, DT classification gave outstanding\u0000results, considering that the sensitivity was higher than 0.9 in all cases. Thus, the application of DT with hyperspectral\u0000imaging could be used to sort plastic samples with respect to the type of polymer and the flame retardant used with a high\u0000degree of accuracy in an automated way. These findings are highly valuable for the plastic and waste management\u0000industries.","PeriodicalId":37385,"journal":{"name":"Journal of Spectral Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45493457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22

Comparison of spectral selection methods in the development of classification models from visible near infraredhyperspectral imaging data 可见光-近红外高光谱成像数据分类模型开发中光谱选择方法的比较

Journal of Spectral Imaging Pub Date : 2019-01-17 DOI: 10.1255/JSI.2019.A4

A. Gowen, Jun‐Li Xu, A. Herrero-Langreo

引用次数: 6

Raman and Fourier transform infrared hyperspectral imaging to study dairy residues on different surface 利用拉曼和傅里叶变换红外高光谱成像技术研究不同表面上的乳制品残留物

Journal of Spectral Imaging Pub Date : 2019-01-14 DOI: 10.1255/JSI.2019.A3

V. Caponigro, F. Marini, R. Dorrepaal, A. Herrero-Langreo, A. Scannell, A. Gowen

引用次数: 4

Increased sensitivity in near infrared hyperspectral imaging by enhanced background noise subtraction 通过增强背景噪声减法提高近红外高光谱成像的灵敏度

Journal of Spectral Imaging Pub Date : 2019-01-10 DOI: 10.1255/JSI.2019.A2

T. Mehl, G. Wyller, I. Burud, E. Olsen

引用次数: 1

Development of a classification algorithm for efficient handling of multiple classes in sorting systems based onhyperspectral imaging 基于高光谱成像的分类系统中多类分类算法的开发

Journal of Spectral Imaging Pub Date : 2018-12-18 DOI: 10.1255/JSI.2018.A13

R. Calvini, Giorgia Orlandi, G. Foca, A. Ulrici

{"title":"Development of a classification algorithm for efficient handling of multiple classes in sorting systems based on\u0000hyperspectral imaging","authors":"R. Calvini, Giorgia Orlandi, G. Foca, A. Ulrici","doi":"10.1255/JSI.2018.A13","DOIUrl":"https://doi.org/10.1255/JSI.2018.A13","url":null,"abstract":"When dealing with practical applications of hyperspectral imaging, the development of efficient, fast and flexible\u0000classification algorithms is of the utmost importance. Indeed, the optimal classification method should be able, in a\u0000reasonable time, to maximise the separation between the classes of interest and, at the same time, to correctly reject\u0000possible outlier samples. To this aim, a new extension of Partial Least Squares Discriminant Analysis (PLS-DA), namely\u0000Soft PLS-DA, has been implemented. The basic engine of Soft PLS-DA is the same as PLS-DA, but class assignment is\u0000subjected to some additional criteria which allow samples not belonging to the target classes to be identified and rejected.\u0000The proposed approach was tested on a real case study of plastic waste sorting based on near infrared hyperspectral\u0000imaging. Household plastic waste objects made of the six recyclable plastic polymers commonly used for packaging were\u0000collected and imaged using a hyperspectral camera mounted on an industrial sorting system. In addition, paper and not\u0000recyclable plastics were also considered as potential foreign materials that are commonly found in plastic waste. For\u0000classification purposes, the Soft PLS-DA algorithm was integrated into a hierarchical classification tree for the\u0000discrimination of the different plastic polymers. Furthermore, Soft PLS-DA was also coupled with sparse-based variable\u0000selection to identify the relevant variables involved in the classification and to speed up the sorting process. The tree-\u0000structured classification model was successfully validated both on a test set of representative spectra of each material\u0000for a quantitative evaluation, and at the pixel level on a set of hyperspectral images for a qualitative assessment.","PeriodicalId":37385,"journal":{"name":"Journal of Spectral Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42019463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 24

Development of a hyperspectral imaging technique with internal scene scan for analysing the chemistry of fooddegradation 用于分析食物降解化学成分的内部场景扫描高光谱成像技术的开发

Journal of Spectral Imaging Pub Date : 2018-10-18 DOI: 10.1255/JSI.2018.A12

Guo Chen, Jung Huang

引用次数: 0

Can hyperspectral imaging be used to map corrosion products on outdoor bronze sculptures? 高光谱成像可以用来绘制户外青铜雕塑上的腐蚀产物吗？

Journal of Spectral Imaging Pub Date : 2018-10-08 DOI: 10.1255/JSI.2018.A10

E. Catelli, L. Randeberg, H. Strandberg, B. Alsberg, A. Maris, Lily Vikki

引用次数: 19