Read by QxMD icon Read

hyperspectral imaging

Uwe Knauer, Andrea Matros, Tijana Petrovic, Timothy Zanker, Eileen S Scott, Udo Seiffert
BACKGROUND: Hyperspectral imaging is an emerging means of assessing plant vitality, stress parameters, nutrition status, and diseases. Extraction of target values from the high-dimensional datasets either relies on pixel-wise processing of the full spectral information, appropriate selection of individual bands, or calculation of spectral indices. Limitations of such approaches are reduced classification accuracy, reduced robustness due to spatial variation of the spectral information across the surface of the objects measured as well as a loss of information intrinsic to band selection and use of spectral indices...
2017: Plant Methods
Dong Yang, Dandan He, Anxiang Lu, Dong Ren, Jihua Wang
No abstract text is available yet for this article.
January 1, 2017: Applied Spectroscopy
Qinghua Guo, Fangfang Wu, Shuxin Pang, Xiaoqian Zhao, Linhai Chen, Jin Liu, Baolin Xue, Guangcai Xu, Le Li, Haichun Jing, Chengcai Chu
With the growing population and the reducing arable land, breeding has been considered as an effective way to solve the food crisis. As an important part in breeding, high-throughput phenotyping can accelerate the breeding process effectively. Light detection and ranging (LiDAR) is an active remote sensing technology that is capable of acquiring three-dimensional (3D) data accurately, and has a great potential in crop phenotyping. Given that crop phenotyping based on LiDAR technology is not common in China, we developed a high-throughput crop phenotyping platform, named Crop 3D, which integrated LiDAR sensor, high-resolution camera, thermal camera and hyperspectral imager...
December 6, 2017: Science China. Life Sciences
Dorina F Sava Gallis, Lauren E Shea-Rohwer, Mark A Rodriguez, Meghan C Barnhart-Dailey, Kimberly S Butler, Ting S Luk, Jerilyn A Timlin, Karena W Chapman
Herein we describe a novel multifunctional metal-organic framework (MOF) materials platform that displays both porosity and tunable emission properties as a function of the metal identity (Eu, Nd, and tuned compositions of Nd/Yb). Their emission collectively spans the deep red to near-infrared (NIR) spectral region (~ 614 - 1350 nm), which is highly relevant for in vivo bio-imaging. These new materials meet important prerequisites as relevant to biological processes: they are minimally toxic to living cells, and retain structural integrity in water and phosphate buffered saline...
June 14, 2017: ACS Applied Materials & Interfaces
Guolan Lu, James V Little, Xu Wang, Hongzheng Zhang, Mihir Patel, Christopher C Griffith, Mark El-Deiry, Amy Y Chen, Baowei Fei
This study intends to investigate the feasibility of using hyperspectral imaging (HSI) to detect and delineate cancers in fresh, surgical specimens of patients with head and neck cancers.<br /><br />Experimental Design: A clinical study was conducted in order to collect and image fresh, surgical specimens from patients (N = 36) with head and neck cancers undergoing surgical resection. A set of machine-learning tools were developed to quantify hyperspectral images of the resected tissue in order to detect and delineate cancerous regions which were validated by histopathological diagnosis...
June 13, 2017: Clinical Cancer Research: An Official Journal of the American Association for Cancer Research
Lía Velásquez, J P Cruz-Tirado, Raúl Siche, Roberto Quevedo
The aim of this study was to develop a system to classify the marbling of beef using the hyperspectral imaging technology. The Japanese standard classification of the degree of marbling of beef was used as reference and twelve standards were digitized to obtain the parameters of shape and spatial distribution of marbling of each class. A total of 35 samples M. longissmus dorsi muscle were scanned by the hyperspectral imaging system of 400-1000 nm in reflectance mode. The wavelength of 528nm was selected to segment the sample and the background, and 440nm was used for classified the samples...
June 6, 2017: Meat Science
Ping Xu, Junfeng Liu, Lingyun Xue, Jingcheng Zhang, Bo Qiu
With the development of hyperspectral technology, to establish an effective spectral data compressive reconstruction method that can improve data storage, transmission, and maintaining spectral information is critical for quantitative remote sensing research and application in vegetation. The spectral adaptive grouping distributed compressive sensing (AGDCS) algorithm is proposed, which enables a distributed compressed sensing reconstruction of plant hyperspectral data. The spectral characteristics of hyperspectral data are analyzed and the joint sparse model is constructed...
June 7, 2017: Sensors
Fernando A Mendoza, Karen A Cichy, Christy Sprague, Amanda Goffnett, Renfu Lu, James D Kelly
BACKGROUND: Texture is a major quality parameter for the acceptability of canned whole beans. Prior knowledge of this quality trait before processing would be useful to guide variety development by bean breeders and optimize handling protocols by processors. The objective of this study was to evaluate and compare the predictive power of visible and near-infrared reflectance spectroscopy (Vis/NIRS, 400-2,498 nm) and hyperspectral imaging (HYPERS, 400-1,000 nm) techniques for predicting texture of canned black beans from intact dry seeds...
June 5, 2017: Journal of the Science of Food and Agriculture
Ph Vermeulen, M B Ebene, B Orlando, J A Fernández Pierna, V Baeten
The objective of this study is to assess NIR hyperspectral imaging for the detection of ergot bodies at the particle level in cereal flour. For this study, ground ergot body samples and wheat flour samples as well as mixtures of both from 100 mg/kg to 500,000 mg/kg were analysed. Partial least squares discriminant analysis (PLS-DA) models were developed and applied to spectral images in order to detect the ergot body particles. Ergot was detected in 100% of samples spiked at more than 10,000 mg/kg and no false positives were obtained with non-contaminated samples...
June 5, 2017: Food Additives & Contaminants. Part A, Chemistry, Analysis, Control, Exposure & Risk Assessment
Zsuzsanna Heiner, Marina Gühlke, Vesna Živanović, Fani Madzharova, Janina Kneipp
Hyper Raman scattering, that is, spontaneous, two-photon excited Raman scattering, of organic molecules becomes strong when it occurs as surface-enhanced hyper Raman scattering (SEHRS), in the proximity of plasmonic nanostructures. Its advantages over one-photon excited surface-enhanced Raman scattering (SERS) include complementary vibrational information resulting from different selection rules, probing of very small focal volumes, and beneficial excitation with long wavelengths. Here, imaging of macrophage cells by SEHRS is demonstrated, using SEHRS labels consisting of silver nanoparticles and two different molecules, 2-naphthalenethiol and para-mercaptobenzoic acid, that are excited off-resonance...
June 2, 2017: Nanoscale
Masoud Ghandehari, Milad Aghamohamadnia, Gregory Dobler, Andreas Karpf, Kerry Buckland, Jun Qian, Steven Koonin
Cities are now home to more than 50% of the world's population and emit large quantities of pollutants from sources such as fossil fuel combustion and the leakage of refrigerants. We demonstrate the utility of persistent synoptic longwave hyperspectral imaging to study the ongoing leakage of refrigerant gases in New York City, compounds that either deplete the stratosphere ozone or have significant global warming potential. In contrast to current monitoring programs that are based on country-level reporting or aggregate measures of emissions, we present the identification of gaseous plumes with high spatial and temporal granularity in real-time over the skyline of Manhattan...
June 1, 2017: Scientific Reports
Qian Wang, Qingli Li, Mei Zhou, Zhen Sun, Hongying Liu, Yiting Wang
Blood oxygenation mapping by the means of optical oximetry is of significant importance in clinical trials. This paper uses hyperspectral imaging technology to obtain in vivo images for blood oxygenation detection. The experiment involves dorsal skin fold window chamber preparation which was built on adult (8-10 weeks of age) female BALB/c nu/nu mice and in vivo image acquisition which was performed by hyperspectral imaging system. To get the accurate spatial and spectral information of targets, an automatic registration scheme is proposed...
2017: PloS One
Jonathan V Thompson, Joel N Bixler, Brett H Hokr, Gary D Noojin, Marlan O Scully, Vladislav V Yakovlev
Raman imaging is a powerful method to identify and detect chemicals, but the long acquisition time required for full spectroscopic Raman images limits many practical applications. Compressive sensing and compressed ultrafast photography have recently demonstrated the acquisition of multi-dimensional data sets with single-shot detection. In this Letter, we demonstrate the utilization of compressed sensing for single-shot compressed Raman imaging. In particular, we use this technique to demonstrate the identification of two similarly white substances in one image via the recovered two-dimensional array of Raman spectra...
June 1, 2017: Optics Letters
Mihaela Antonina Calin, Adrian Macovei, Sorin Miclos, Sorin Viorel Parasca, Roxana Savastru, Razvan Hristea
No abstract text is available yet for this article.
May 1, 2017: Journal of Biomedical Optics
Mikko Mäkelä, Paul Geladi
Hyperspectral imaging within the NIR region offers a fast and reliable way for determining the properties of renewable carbon materials. The chemical information provided by a spectrum combined with the spatial information of an image allows mathematical operations that can be performed in both the spectral and spatial domains. In this work we show that hyperspectral NIR imaging can be successfully used to determine the properties of hydrothermally prepared carbon on the material and pixel levels. Materials produced from different feedstocks or prepared under different temperatures can also be distinguished, and their homogeneity can be evaluated...
May 31, 2017: ChemSusChem
Ye Sun, Yihang Wang, Hui Xiao, Xinzhe Gu, Leiqing Pan, Kang Tu
Honey peach is a very common but highly perishable market fruit. When pathogens infect fruit, chlorophyll as one of the important components related to fruit quality, decreased significantly. Here, the feasibility of hyperspectral imaging to determine the chlorophyll content thus distinguishing diseased peaches was investigated. Three optimal wavelengths (617nm, 675nm, and 818nm) were selected according to chlorophyll content via successive projections algorithm. Partial least square regression models were established to determine chlorophyll content...
November 15, 2017: Food Chemistry
C R Craigie, P L Johnson, P R Shorten, A Charteris, G Maclennan, M L Tate, M P Agnew, K R Taukiri, A D Stuart, M M Reis
Cost-effective, rapid and objective measurement of lamb quality on a routine basis is an important step for lamb value chains wishing to manage lamb product quality. Hyperspectral imaging (HSI) technology has shown promise as a solution for objective non-invasive prediction of meat quality. The performance of HSI applied 24h post mortem to lamb M. longissimus lumborum (LL) within a processing plant environment was assessed over two sampling years to evaluate its suitability for an objective lamb meat quality assurance tool...
April 20, 2017: Meat Science
Nathaniel Chiang, Jitendra K Jain, Jamie Sleigh, Thodur Vasudevan
BACKGROUND: Hyperspectral imaging technology is a novel method of using transcutaneous measurement of oxyhemoglobin (HT-Oxy) and deoxyhemoglobin (HT-Deoxy) concentrations to create a two-dimensional, color-coded "oxygen map." The aims of this study were to compare the use of a hyperspectral imaging device with the transcutaneous oxygen measurement (TCOM), ankle-brachial index (ABI), and severity of peripheral vascular disease (PVD) and to assess their correlations. METHODS: This prospective study recruited 294 participants divided into three distinct groups composed of healthy volunteers and patients with PVD...
May 22, 2017: Journal of Vascular Surgery
Silvia Pani, Sarene Saifuddin, Filipa Ferreira, Nicholas Henthorn, Paul Seller, Paul Sellin, Philipp Stratmann, Matthew Veale, Matthew Wilson, Robert Cernik
Contrast-enhanced digital mammography (CEDM) is an alternative to conventional X-ray mammography for imaging dense breasts. However, conventional approaches to CEDM require a double exposure of the patient, implying higher dose and risk of incorrect image registration due to motion artifacts. A novel approach is presented, based on hyperspectral imaging, where a detector combining positional and high-resolution spectral information (in this case based on Cadmium Telluride) is used. This allows simultaneous acquisition of the two images required for CEDM...
May 18, 2017: IEEE Transactions on Medical Imaging
Michael S Chin, Ava G Chappell, Giorgio Giatsidis, Dylan J Perry, Jorge Lujan-Hernandez, Anthony Haddad, Hajime Matsumine, Dennis P Orgill, Janice F Lalikos
BACKGROUND: Necrosis remains a significant complication in cutaneous flap procedures. Monitoring, and ideally prediction, of vascular compromise in the early postoperative period may allow surgeons to limit the impact of complications by prompt intervention. Hyperspectral imaging could be a reliable, effective, and noninvasive method for predicting flap survival postoperatively. In this preclinical study, the authors demonstrate that hyperspectral imaging is able to correlate early skin perfusion changes and ultimate flap survival in a preclinical model...
June 2017: Plastic and Reconstructive Surgery
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"