Статті в журналах: "Multispectral infrared imaging"

1

Tran, Chieu D. "Infrared Multispectral Imaging: Principles and Instrumentation." Applied Spectroscopy Reviews 38, no. 2 (2003): 133–53. http://dx.doi.org/10.1081/asr-120021165.

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Schaeberle, Michael D., and Patrick J. Treado. "New frontiers in multispectral chemical imaging." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 156–57. http://dx.doi.org/10.1017/s0424820100168517.

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Recent advancements in visible and near-infrared multichannel detectors as well as the availability of novel imaging quality tunable filters make multispectral chemical imaging microscopy viable for routine materials characterization. Our research involves the development and application of chemical imaging methods that are rapid, non-invasive, and intuitive. The methods require limited sample preparation, and can be performed at high spectral and spatial resolution.The chemical imaging techniques employ Raman scattering, fluorescence emission or infrared absorption spectroscopies in combination with optical microscopy. In general, the methods provide qualitative and quantitative information about the composition and distribution of constituents within a wide host of materials, including biological tissues, polymers, and semiconductors.Silicon charge-coupled device (CCD) detectors are widely utilized for image detection in visible microscopy. Currently underutilized, but providing significant capabilities for chemical imaging based on infrared vibrational absorption are focal plane array (FPA) detectors providing sensitivity in the near-infrared and mid infrared. These include cameras constructed from indium antimonide (InSb), platinum silicide (PtSi), indium gallium arsenide (InGaAs) and mercury cadmium telluride (MCT).

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Zhang, Yibing. "Multispectral three-dimensional digital infrared thermal imaging." Optical Engineering 42, no. 4 (April 1, 2003): 906. http://dx.doi.org/10.1117/1.1557175.

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4

Ozkan, Haydar, Muberra Aydin, Osman Alpcan Ozcan, and Ummuhan Zengin. "A portable multispectral vein imaging system." Journal of Electrical Engineering 74, no. 1 (February 1, 2023): 64–69. http://dx.doi.org/10.2478/jee-2023-0008.

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Abstract Phlebotomy may cause unnecessary injuries to a patient whose veins are not easily visible to a healthcare professional. To mitigate this problem we designed a new system to image subcutaneous veins. Multispectral images were obtained using a microprocessor, an IR (infrared) camera, different wavelengths of NIR (near-infrared) sources, and an IR band-pass filter. Raw vein images were enhanced, colored, and displayed on a monitor using an easy-to-use interface. The mean dice similarity index (DSI) between the vein border specified by a doctor on the raw images manually and the automated segmented by the proposed system is determined as 0.92 ± 2.1 for 20 subjects. Also, the average peak signal-to-noise ratio (PSNR) obtained a high value of 68.37 ± 1.56 from the enhanced image. Phlebotomists can easily observe the subcutaneous veins in real-time with the three different options using the proposed device. As a result, this study advances the vein imaging field which has the potential to reduce injury to the patient during venipuncture.

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Li, Kun, Shaoli Duan, Lingling Pang, Weilai Li, Zhixiong Yang, Yaohang Hu, and Chunchao Yu. "Chemical Gas Telemetry System Based on Multispectral Infrared Imaging." Toxics 11, no. 1 (January 15, 2023): 83. http://dx.doi.org/10.3390/toxics11010083.

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Environmental monitoring, public safety, safe production, and other areas all benefit greatly from the use of gas detection technologies. The infrared image of a gas could be used to determine its type from a long distance in gas detection. The infrared image can show the spatial distribution of the gas cloud and the background, allowing for long-distance and non-contact detection during safety production and hazardous chemical accident rescue. In this study, a gas detection system based on multispectral infrared imaging is devised, which can detect a variety of gases and determine the types of gas by separating the infrared radiation. It is made up of an imaging optical system, an uncooled focal plane detector, a filter controller, and a data gathering and processing system. The resolution of the infrared image is 640 × 512 and the working band of the system is 6.5~15 μm. The system can detect traces of pollutants in ambient air or gas clouds at higher concentrations. Ammonia, sulfur hexafluoride, methane, sulfur dioxide, and dimethyl methyl phosphonate were all successfully detected in real time. Ammonia clouds could be detected at a distance of 1124.5 m.

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Zhang, Yuanjie, Huangrong Xu, Yiming Liu, Xiaojun Zhou, Dengshan Wu, and Weixing Yu. "Advanced Biomimetic Multispectral Curved Compound Eye Camera for Aerial Multispectral Imaging in a Large Field of View." Biomimetics 8, no. 7 (November 20, 2023): 556. http://dx.doi.org/10.3390/biomimetics8070556.

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In this work, we demonstrated a new type of biomimetic multispectral curved compound eye camera (BM3C) inspired by insect compound eyes for aerial multispectral imaging in a large field of view. The proposed system exhibits a maximum field of view (FOV) of 120 degrees and seven-waveband multispectral images ranging from visible to near-infrared wavelengths. Pinhole imaging theory and the image registration method from feature detection are used to reconstruct the multispectral 3D data cube. An airborne imaging experiment is performed by assembling the BM3C on an unmanned aerial vehicle (UAV). As a result, radiation intensity curves of several objects are successfully obtained, and a land type classification is performed using the K-means method based on the aerial image as well. The developed BM3C is proven to have the capability for large FOV aerial multispectral imaging and shows great potential applications for distant detecting based on aerial imaging.

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Kozlowska, Anna, Piotr Wawrzyniak, Andrzej Malag, Marian Teodorczyk, Jens W. Tomm, and Fritz Weik. "Reliability screening of diode lasers by multispectral infrared imaging." Journal of Applied Physics 99, no. 5 (March 2006): 053101. http://dx.doi.org/10.1063/1.2178390.

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Mamadou, Diarra, Kacoutchy Jean Ayikpa, Abou Bakary Ballo, Nagbégna Diabate, and N’guessan Patrice Akoguhi. "Enhancing Face Recognition Performance with Multispectral Imaging and Machine Learning: Comparison from Sift and Sift-Freak Feature Extraction." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 8s (August 18, 2023): 329–40. http://dx.doi.org/10.17762/ijritcc.v11i8s.7213.

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The development of modern societies faces many security and identification challenges. To meet this expectation, computer vision offers biometric solutions. Much research in recent years has focused on face recognition. Traditional facial recognition that uses color images has had many shortcomings, such as variation in illumination, smoke, rain, disguise, face concealment, makeup, etc. Light-insensitive infrared (IR) imaging is presented as an alternative to facial recognition in the visible to overcome the shortcomings of uncontrolled environments. However, IR also has weaknesses, such as facial occlusion by glasses, variation in body temperature, perfusion, etc. This paper proposes a new facial recognition architecture that uses several classification algorithms, detectors, and feature descriptors in multispectral imaging. A combination of SIFT and FREAK, feature extraction tools, was associated with classification algorithms such as SVM, logistic regression, and Random forest to conduct this study. Several experiments were made to evaluate the performance of the proposed recognition system. The validation process of the proposed multispectral face recognition method involved several important steps. First, experiments were carried out on visible and infrared spectrum images to measure the recognition system's performance. These experiments made it possible to compare the recognition performances between these two types of images. Then, fuse visible and infrared images were used to assess multispectral facial recognition. The goal was to maximize each spectrum's advantages while minimizing their disadvantages. Metrics were evaluated to measure the accuracy of the multispectral face recognition method. The performances were compared with classical facial recognition methods, such as facial recognition based on the visible spectrum or infrared imagery alone. The results showed that the proposed multispectral facial recognition method performed better than traditional methods, reaching a facial recognition score ranging from 76% to 95% in the IRIS database.

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Huang, Qiping, Huanhuan Li, Jiewen Zhao, Gengping Huang, and Quansheng Chen. "Non-destructively sensing pork quality using near infrared multispectral imaging technique." RSC Advances 5, no. 116 (2015): 95903–10. http://dx.doi.org/10.1039/c5ra18872e.

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Langhout, Gerrit Cornelis, Diederik Johannes Grootendorst, Omgo Edo Nieweg, Michel Wilhelmus Jacobus Maria Wouters, Jos Alexander van der Hage, Jithin Jose, Hester van Boven, Wiendelt Steenbergen, Srirang Manohar, and Theodoor Jacques Marie Ruers. "Detection of Melanoma Metastases in Resected Human Lymph Nodes by Noninvasive Multispectral Photoacoustic Imaging." International Journal of Biomedical Imaging 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/163652.

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Objective. Sentinel node biopsy in patients with cutaneous melanoma improves staging, provides prognostic information, and leads to an increased survival in node-positive patients. However, frozen section analysis of the sentinel node is not reliable and definitive histopathology evaluation requires days, preventing intraoperative decision-making and immediate therapy. Photoacoustic imaging can evaluate intact lymph nodes, but specificity can be hampered by other absorbers such as hemoglobin. Near infrared multispectral photoacoustic imaging is a new approach that has the potential to selectively detect melanin. The purpose of the present study is to examine the potential of multispectral photoacoustic imaging to identify melanoma metastasis in human lymph nodes.Methods. Three metastatic and nine benign lymph nodes from eight melanoma patients were scannedex vivousing a Vevo LAZR©multispectral photoacoustic imager and were spectrally analyzed per pixel. The results were compared to histopathology as gold standard.Results. The nodal volume could be scanned within 20 minutes. An unmixing procedure was proposed to identify melanoma metastases with multispectral photoacoustic imaging. Ultrasound overlay enabled anatomical correlation. The penetration depth of the photoacoustic signal was up to 2 cm.Conclusion. Multispectral three-dimensional photoacoustic imaging allowed for selective identification of melanoma metastases in human lymph nodes.

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Fu, Han, Bihong Fu, Yoshiki Ninomiya, and Pilong Shi. "New Insights of Geomorphologic and Lithologic Features on Wudalianchi Volcanoes in the Northeastern China from the ASTER Multispectral Data." Remote Sensing 11, no. 22 (November 14, 2019): 2663. http://dx.doi.org/10.3390/rs11222663.

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Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imaging system onboard NASA’s (National Aeronautics and Space Administration’s) Terra satellite is capable of measuring multispectral reflectance of the earth’s surface targets in visible and infrared (VNIR) to shortwave infrared (SWIR) (until 2006) as well as multispectral thermal infrared (TIR) regions. ASTER VNIR stereo imaging technique can provide high-resolution digital elevation models (DEMs) data. The DEMs data, three-dimensional (3D) perspective, and ratio images produced from the ASTER multispectral data are employed to analyze the geomorphologic and lithologic features of Wudalianchi volcanoes in the northeastern China. Our results indicate that the 14 major conical volcanic craters of Wudalianchi volcanoes are arranged as three sub-parallel zones, extending in a NE (Northeast) direction, which is similar to the direction of regional fault system based on the ASTER DEMs data. Among the 14 volcanic craters in Wudalianchi, the Laoheishan, and Huoshaoshan lavas flows, after the historic eruptions, pouring down from the crater, partially blocked the Baihe River, which forms the Five Large Connected Pools, known as the Wudalianchi Lake. Lithologic mapping shows that ASTER multispectral ratio imagery, particularly, the Lava Flow Index (LFI) (LFI = B10/B12) imagery, can clearly distinguish different lava flow units, and at least four stages of volcanic eruptions are revealed in the Wudalianchi Quaternary volcano cluster. Thus, ASTER multispectral TIR data can be used to determine relative dating of Quaternary volcanoes in the semi-arid region. Moreover, ASTER 3D perspective image can present an excellent view for tracking the flow directions of different lavas of Wudalianchi Holocene volcanoes.

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Mohammadi, Vahid, Pierre Gouton, Matthieu Rossé, and Kossi Kuma Katakpe. "Design and Development of Large-Band Dual-MSFA Sensor Camera for Precision Agriculture." Sensors 24, no. 1 (December 22, 2023): 64. http://dx.doi.org/10.3390/s24010064.

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The optimal design and construction of multispectral cameras can remarkably reduce the costs of spectral imaging systems and efficiently decrease the amount of image processing and analysis required. Also, multispectral imaging provides effective imaging information through higher-resolution images. This study aimed to develop novel, multispectral cameras based on Fabry–Pérot technology for agricultural applications such as plant/weed separation, ripeness estimation, and disease detection. Two multispectral cameras were developed, covering visible and near-infrared ranges from 380 nm to 950 nm. A monochrome image sensor with a resolution of 1600 × 1200 pixels was used, and two multispectral filter arrays were developed and mounted on the sensors. The filter pitch was 4.5 μm, and each multispectral filter array consisted of eight bands. Band selection was performed using a genetic algorithm. For VIS and NIR filters, maximum RMS values of 0.0740 and 0.0986 were obtained, respectively. The spectral response of the filters in VIS was significant; however, in NIR, the spectral response of the filters after 830 nm decreased by half. In total, these cameras provided 16 spectral images in high resolution for agricultural purposes.

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Lopez-Ruiz, Nuria, Fernando Granados-Ortega, Miguel Angel Carvajal, and Antonio Martinez-Olmos. "Portable multispectral imaging system based on Raspberry Pi." Sensor Review 37, no. 3 (June 19, 2017): 322–29. http://dx.doi.org/10.1108/sr-12-2016-0276.

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Purpose In this work, the authors aim to present a compact low-cost and portable spectral imaging system for general purposes. The developed system provides information that can be used for a fast in situ identification and classification of samples based on the analysis of captured images. The connectivity of the instrument allows a deeper analysis of the images in an external computer. Design/methodology/approach The wavelength selection of the system is carried out by light multiplexing through a light-emitting diode panel where eight wavelengths covering the spectrum from ultraviolet (UV) to near-infrared region (NIR) have been included. The image sensor used is a red green blue – infrared (RGB-IR) micro-camera controlled by a Raspberry Pi board where a basic image processing algorithm has been programmed. It allows the visualization in an integrated display of the reflectance and the histogram of the images at each wavelength, including UV and NIRs. Findings The prototype has been tested by analyzing several samples in a variety of applications such as detection of damaged, over-ripe and sprayed fruit, classification of different type of plastic materials and determination of properties of water. Originality/value The designed system presents some advantages as being non-expensive and portable in comparison to other multispectral imaging systems. The low-cost and size of the camera module connected to the Raspberry Pi provides a compact instrument for general purposes.

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Rosenberger, M., C. Zhang, R. Celestre, and G. Notni. "Investigations on infrared-channel-image quality improvements for multispectral imaging." Journal of Physics: Conference Series 1044 (June 2018): 012039. http://dx.doi.org/10.1088/1742-6596/1044/1/012039.

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Nagao, Ryo, Katsunori Ishii, and Kunio Awazu. "Optimal wavelengths for near-infrared multispectral imaging of atherosclerotic plaque." Optical Review 22, no. 2 (February 28, 2015): 329–34. http://dx.doi.org/10.1007/s10043-015-0035-3.

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Tran, Chieu D. "Principles, Instrumentation, and Applications of Infrared Multispectral Imaging, An Overview." Analytical Letters 38, no. 5 (March 2005): 735–52. http://dx.doi.org/10.1081/al-200047754.

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Wilson, Robert H., Kyle P. Nadeau, Frank B. Jaworski, Rebecca Rowland, John Q. Nguyen, Christian Crouzet, Rolf B. Saager, Bernard Choi, Bruce J. Tromberg, and Anthony J. Durkin. "Quantitative short-wave infrared multispectral imaging ofin vivotissue optical properties." Journal of Biomedical Optics 19, no. 8 (August 13, 2014): 086011. http://dx.doi.org/10.1117/1.jbo.19.8.086011.

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Yang, Xin. "Multispectral Imaging Method in Laparoscopy." Journal of the Russian Universities. Radioelectronics 27, no. 1 (March 1, 2024): 102–16. http://dx.doi.org/10.32603/1993-8985-2024-27-1-102-116.

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Introduction. At present, video data acquired in narrow spectral bands are widely used to improve the efficiency of diagnostics in various medical fields, laparoscopy in particular. Conventional laparoscopy uses images obtained in the white light. Images obtained in the visible range suitably depict the color and textural features of tissues. However, it is difficult for a physician to use visible images for distinguishing between lesion areas and normal tissues, largely due to their proximity in color and texture. The efficiency of lesion detection can be improved using fluorescence images, which clearly differentiate lesion areas from normal tissues. However, the use multispectral data implies the need to present the images obtained both in the white and fluorescence light to the physician. In this paper, we propose an image composition method based on visible and fluorescence images, which facilitates their analysis by physicians. A distinctive feature of the method is the use of CIEDE 2000 metric for image fusion, which takes the properties of human vision into account.Aim. Development of a method for multispectral data visualization, which provides a physician with an image that combines white light data and a color-highlighted area of lesions.Materials and methods. The proposed method consists of the following steps: preprocessing of images obtained in visible and fluorescence light; segmentation of the lesion area in the fluorescence images; generation of a pseudo-color image of the segmented lesion area; and fusion of the pseudo-color image with the image obtained in the white light.Results. The proposed method forms an image that includes an image of the operation area obtained in the white light and a separated lesion area based on fluorescence information in the near infrared range. The image composite takes the properties of human vision into account. An experimental study of the method was carried out on actual laparoscopic images, involving endoscopists who were experts in subjective evaluation of video images. The method of paired comparisons was used to evaluated the presented images. The majority of experts preferred the fused image formed by the proposed method to those visualized simultaneously in the white and fluorescence light.Conclusion. The developed method ensures generation of images with an increased diagnostic value.

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Daffara, Claudia, and Raffaella Fontana. "Multispectral Infrared Reflectography to Differentiate Features in Paintings." Microscopy and Microanalysis 17, no. 5 (April 8, 2011): 691–95. http://dx.doi.org/10.1017/s1431927611000031.

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AbstractInfrared reflectography is a well-known technique based on wideband imaging in the near-infrared (NIR) range used for painting diagnostics in conservation laboratories.. This work is focused on the application of multiband reflectography for analysis of pictorial layers and differentiated detection of painting features. This technique generates a set of narrowband NIR images of the painting. Starting from a dataset that is registered, metrically correct, and calibrated, the capability of collecting both spectral and spatial information has been exploited by processing the image cube with interplane techniques. Examples on artworks by Caravaggio, Veronese, Bronzino, and Schiavone are presented.

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Del Pozo, S., P. Rodríguez-Gonzálvez, L. J. Sánchez-Aparicio, A. Muñoz-Nieto, D. Hernández-López, B. Felipe-García, and D. González-Aguilera. "MULTISPECTRAL IMAGING IN CULTURAL HERITAGE CONSERVATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W5 (August 18, 2017): 155–62. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w5-155-2017.

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This paper sums up the main contribution derived from the thesis entitled "<i>Multispectral imaging for the analysis of materials and pathologies in civil engineering, constructions and natural spaces</i>" awarded by CIPA-ICOMOS for its connection with the preservation of Cultural Heritage. This thesis is framed within close-range remote sensing approaches by the fusion of sensors operating in the optical domain (visible to shortwave infrared spectrum). In the field of heritage preservation, multispectral imaging is a suitable technique due to its non-destructive nature and its versatility. It combines imaging and spectroscopy to analyse materials and land covers and enables the use of a variety of different geomatic sensors for this purpose. These sensors collect both spatial and spectral information for a given scenario and a specific spectral range, so that, their smaller storage units save the spectral properties of the radiation reflected by the surface of interest. The main goal of this research work is to characterise different construction materials as well as the main pathologies of Cultural Heritage elements by combining active and passive sensors recording data in different ranges. Conclusions about the suitability of each type of sensor and spectral range are drawn in relation to each particular case study and damage. It should be emphasised that results are not limited to images, since 3D intensity data from laser scanners can be integrated with 2D data from passive sensors obtaining high quality products due to the added value that metric brings to multispectral images.

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Takamatsu, Toshihiro, Yuichi Kitagawa, Kohei Akimoto, Ren Iwanami, Yuto Endo, Kenji Takashima, Kyohei Okubo, et al. "Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging." Sensors 21, no. 8 (April 9, 2021): 2649. http://dx.doi.org/10.3390/s21082649.

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In this study, a laparoscopic imaging device and a light source able to select wavelengths by bandpass filters were developed to perform multispectral imaging (MSI) using over 1000 nm near-infrared (OTN-NIR) on regions under a laparoscope. Subsequently, MSI (wavelengths: 1000–1400 nm) was performed using the built device on nine live mice before and after tumor implantation. The normal and tumor pixels captured within the mice were used as teaching data sets, and the tumor-implanted mice data were classified using a neural network applied following a leave-one-out cross-validation procedure. The system provided a specificity of 89.5%, a sensitivity of 53.5%, and an accuracy of 87.8% for subcutaneous tumor discrimination. Aggregated true-positive (TP) pixels were confirmed in all tumor-implanted mice, which indicated that the laparoscopic OTN-NIR MSI could potentially be applied in vivo for classifying target lesions such as cancer in deep tissues.

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Simova, Eli, and Paul A. Rochefort. "ACTIVE SPECTRAL IMAGING NONDESTRUCTIVE EVALUATION (SINDE) CAMERA." CNL Nuclear Review 5, no. 1 (June 2016): 121–25. http://dx.doi.org/10.12943/cnr.2016.00001.

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A proof-of-concept video camera for active spectral imaging nondestructive evaluation has been demonstrated. An active multispectral imaging technique has been implemented in the visible and near infrared by using light emitting diodes with wavelengths spanning from 400 to 970 nm. This shows how the camera can be used in nondestructive evaluation to inspect surfaces and spectrally identify materials and corrosion.

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Bai, Geng, Sarah Blecha, Yufeng Ge, Harkamal Walia, and Piyaporn Phansak. "Characterizing Wheat Response to Water Limitation Using Multispectral and Thermal Imaging." Transactions of the ASABE 60, no. 5 (2017): 1457–66. http://dx.doi.org/10.13031/trans.11967.

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Abstract. Effective screening of plant genotypes for their tolerance to abiotic stress is a vital step for crop improvement. Various sensing technologies can be used for developing automated plant phenotyping systems as well as for better control of stress levels imposed on the plants. In this study, seven different wheat genotypes (G1 through G7) were grown under two different water regimes in a greenhouse. Soil moisture was monitored by soil water tension sensors distributed among the experimental plots. A sensor platform with two cameras (a multispectral camera and a thermal infrared camera) was developed to capture top-view images of the wheat plots (once a week) during the course of the experiment. Image processing algorithms were developed to extract wheat growth index (GI) and crop water stress index (CWSI). Ratios of GI and CWSI between the two water treatments were calculated as proxies to assess drought tolerance of the different genotypes. The results showed that GI was correlated with NDVI measured by a GreenSeeker sensor (R2 = 0.65). Among the seven wheat genotypes studied, G5, G6, and G7 exhibited consistently higher GI ratios and lower CWSI ratios, an indication of their superiority in drought tolerance. It was also found that non-uniform environmental conditions in the greenhouse had quite a large influence on wheat growth, which made the characterization and differentiation of phenotypes among various genotypes more challenging. It is concluded that the multispectral and thermal infrared imaging system has potential for phenotypic screening of wheat genotypes for drought tolerance in a semi-controlled environment. Keywords: CWSI, Drought, Image processing, Multispectral imaging, Phenotyping, Thermal infrared imaging.

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Sadeghipoor, Zahra, Jean-Baptiste Thomas, and Sabine Süsstrunk. "Demultiplexing Visible and Near-Infrared Information in Single-Sensor Multispectral Imaging." Color and Imaging Conference 2016, no. 1 (November 7, 2016): 76–81. http://dx.doi.org/10.2352/issn.2169-2629.2017.32.76.

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Yongpeng, Su, Xie Hongbo, Wang Yao, and Yang Lei. "Design of aperture-divided multispectral imaging system in mid-infrared band." Journal of Applied Optics 39, no. 6 (2018): 52–57. http://dx.doi.org/10.5768/jao201839.0601001.

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Rey-Barroso, Laura, Francisco Burgos-Fernández, Xana Delpueyo, Miguel Ares, Santiago Royo, Josep Malvehy, Susana Puig, and Meritxell Vilaseca. "Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis." Sensors 18, no. 5 (May 5, 2018): 1441. http://dx.doi.org/10.3390/s18051441.

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Sowa, Michael G., Jeri R. Payette, Mark D. Hewko, and Henry H. Mantsch. "Visible-Near Infrared Multispectral Imaging of the Rat Dorsal Skin Flap." Journal of Biomedical Optics 4, no. 4 (1999): 474. http://dx.doi.org/10.1117/1.429957.

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Petersen, Christian Rosenberg, Nikola Prtljaga, Mark Farries, Jon Ward, Bruce Napier, Gavin Rhys Lloyd, Jayakrupakar Nallala, Nick Stone, and Ole Bang. "Mid-infrared multispectral tissue imaging using a chalcogenide fiber supercontinuum source." Optics Letters 43, no. 5 (February 21, 2018): 999. http://dx.doi.org/10.1364/ol.43.000999.

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Bonnier, F., D. Bertrand, S. Rubin, L. Ventéo, M. Pluot, B. Baehrel, M. Manfait, and G. D. Sockalingum. "Detection of pathological aortic tissues by infrared multispectral imaging and chemometrics." Analyst 133, no. 6 (2008): 784. http://dx.doi.org/10.1039/b717164a.

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Nocerino, E., M. Dubbini, F. Menna, F. Remondino, M. Gattelli, and D. Covi. "GEOMETRIC CALIBRATION AND RADIOMETRIC CORRECTION OF THE MAIA MULTISPECTRAL CAMERA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W3 (October 19, 2017): 149–56. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w3-149-2017.

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Multispectral imaging is a widely used remote sensing technique, whose applications range from agriculture to environmental monitoring, from food quality check to cultural heritage diagnostic. A variety of multispectral imaging sensors are available on the market, many of them designed to be mounted on different platform, especially small drones. This work focuses on the geometric and radiometric characterization of a brand-new, lightweight, low-cost multispectral camera, called MAIA. The MAIA camera is equipped with nine sensors, allowing for the acquisition of images in the visible and near infrared parts of the electromagnetic spectrum. Two versions are available, characterised by different set of band-pass filters, inspired by the sensors mounted on the WorlView-2 and Sentinel2 satellites, respectively. The camera details and the developed procedures for the geometric calibrations and radiometric correction are presented in the paper.

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Meléndez, Juan, and Guillermo Guarnizo. "Multispectral Mid-Infrared Camera System for Accurate Stand-Off Temperature and Column Density Measurements on Flames." Sensors 21, no. 24 (December 16, 2021): 8395. http://dx.doi.org/10.3390/s21248395.

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Accurate measurement of temperature in flames is a challenging problem that has been successfully addressed by hyperspectral imaging. This technique is able to provide maps of not only temperature T (K) but also of column density Q (ppm·m) of the main chemical species. Industrial applications, however, require cheaper instrumentation and faster and simpler data analysis. In this work, the feasibility and performance of multispectral imaging for the retrieval of T and QCO2 in flames are studied. Both the hyperspectral and multispectral measurement methods are described and applied to a standard flame, with known T and QCO2, and to an ordinary Bunsen flame. Hyperspectral results, based on emission spectra with 0.5 cm−1 resolution, were found in previous works to be highly accurate, and are thus considered as the ground truth to compare with multispectral measurements of a mid-IR camera (3 to 5 μm) with a six interference filter wheel. Maps of T and Q obtained by both methods show that, for regions with T ≳1300 K, the average of relative errors in multispectral measurements is ∼5% for T (and can be reduced to ∼2.5% with a correction based on a linear regression) and ∼20% for Q. Results obtained with four filters are very similar; results with two filters are also similar for T but worse for Q.

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Liu, Jiaxin, Yousheng Zou, Bo Huang, Yu Gu, Yan Yang, Zeyao Han, Yuanzhou Zhang, Xiaobao Xu, and Haibo Zeng. "Sensitively switchable visible/infrared multispectral detection and imaging based on a tandem perovskite device." Nanoscale 12, no. 39 (2020): 20386–95. http://dx.doi.org/10.1039/d0nr04974c.

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Sensitively switchable visible/infrared multispectral detection and imaging in single photodetector based on perovskite materials is demonstrated with I_on/I_off ratio of ∼10⁴, specific detectivty of 10¹² Jones, mode-switch rate of 1000 Hz.

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Shi, Ninghao, Yingze Zhao, Baixuan Zhao, Kaifeng Zheng, Yupeng Chen, Yuxin Qin, Weibiao Wang, Jinguang Lv, and Jingqiu Liang. "Dual-Channel Mapping–Gas Column Concentration Inversion Method Based on Multispectral Imaging." Applied Sciences 14, no. 8 (April 9, 2024): 3139. http://dx.doi.org/10.3390/app14083139.

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Infrared multispectral imaging technology can achieve the long-distance, wide-ranging and fast detection of target gas, and has been widely used in the fields of dangerous-gas detection and environmental monitoring. However, due to the difficulty in acquiring background radiation as well as atmospheric disturbance and noise interference in the detection process, the quantitative detection of gas concentration has become a difficult problem to solve. Therefore, this paper proposes an inversion method for gas column concentration based on infrared multispectral imaging technology. Firstly, infrared background radiation images of the non-target gas absorption spectrum band were collected and converted into background radiation images of the target gas absorption spectrum band according to the dual-channel mapping relationship. Then, combined with the gas radiation images of the target gas absorption spectrum band, the column concentration distribution of the gas was obtained by using the measured calibration relationship between absorbance and column concentration. Experiments of gas detection in different environments were carried out, and the column concentration distribution of the target gas was inverted using this method; the results showed that the average relative error of the inversion of the gas column concentration was 4.84%, which enables the quantitative detection of gas column concentration in a complex environment.

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Kazemzadeh, Farnoud, Shahid A. Haider, Christian Scharfenberger, Alexander Wong, and David A. Clausi. "Multispectral Stereoscopic Imaging Device: Simultaneous Multiview Imaging From the Visible to the Near-Infrared." IEEE Transactions on Instrumentation and Measurement 63, no. 7 (July 2014): 1871–73. http://dx.doi.org/10.1109/tim.2014.2307992.

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35

Yang, Shuai, Zhihui Zou, Yingchao Li, Haodong Shi, and Qiang Fu. "Hierarchical Feature Enhancement Algorithm for Multispectral Infrared Images of Dark and Weak Targets." Photonics 10, no. 7 (July 11, 2023): 805. http://dx.doi.org/10.3390/photonics10070805.

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A multispectral infrared zoom optical system design and a single-frame hierarchical guided filtering image enhancement algorithm are proposed to address the technical problems of low contrast, blurred edges, and weak signal strength of single-spectrum infrared imaging of faint targets, which are easily drowned out by noise. The multispectral infrared zoom optical system, based on the theory of complex achromatic and mechanical positive group compensation, can simultaneously acquire multispectral image information for faint targets. The single-frame hierarchical guided filtering image enhancement algorithm, which extracts the background features and detailed features of faint targets in a hierarchical manner and then weights fusion, effectively enhances the target and suppresses the interference of complex background and noise. Solving multi-frame processing increases data storage and real-time challenges. The experimental verification of the optical system design and image enhancement algorithm proposed in this paper separately verified that the experimental enhancement was significant, with the combined use improving Mean Square Error (MSE) by 14.32, Signal-Noise Ratio (SNR) by 11.64, Peak Signal-to-Noise Ratio (PSNR) by 12.78, and Structural Similarity (SSIM) by 14.0% compared to guided filtering. This research lays the theoretical foundation for the research of infrared detection and tracking technology for clusters of faint targets.

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Petrakis, Stylianos, Alexandros Skoulakis, Yannis Orphanos, Anastasios Grigoriadis, Georgia Andrianaki, Dimitrios Louloudakis, Nathanail Kortsalioudakis, et al. "Coherent XUV Multispectral Diffraction Imaging in the Microscale." Applied Sciences 12, no. 20 (October 20, 2022): 10592. http://dx.doi.org/10.3390/app122010592.

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The rapid growth of nanotechnology has increased the need for fast nanoscale imaging. X-ray free electron laser (XFEL) facilities currently provide such coherent sources of directional and high-brilliance X-ray radiation. These facilities require large financial investments for development, maintenance, and manpower, and thus, only a few exist worldwide. In this article, we present an automated table-top system for XUV coherent diffraction imaging supporting the capabilities for multispectral microscopy at high repetition rates, based on laser high harmonic generation from gases. This prototype system aims towards the development of an industrial table-top system of ultrafast soft X-ray multi-spectral microscopy imaging for nanostructured materials with enormous potential and a broad range of applications in current nanotechnologies. The coherent XUV radiation is generated in a semi-infinite gas cell via the high harmonic generation of the near-infrared femtosecond laser pulses. The XUV spectral selection is performed by specially designed multilayer XUV mirrors that do not affect the XUV phase front and pulse duration.

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Smeesters, Lien, Jef Verbaenen, Luca Schifano, Michael Vervaeke, Hugo Thienpont, Giancarlo Teti, Alessio Forconi, and Filippo Lulli. "Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring." Sensors 23, no. 5 (February 23, 2023): 2470. http://dx.doi.org/10.3390/s23052470.

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Sustainably using resources, while reducing the use of chemicals, is of major importance in agriculture, including turfgrass monitoring. Today, crop monitoring often uses camera-based drone sensing, offering an accurate evaluation but typically requiring a technical operator. To enable autonomous and continuous monitoring, we propose a novel five-channel multispectral camera design suitable for integrating it inside lighting fixtures and enabling the sensing of a multitude of vegetation indices by covering visible, near-infrared and thermal wavelength bands. To limit the number of cameras, and in contrast to the drone-sensing systems that show a small field of view, a novel wide-field-of-view imaging design is proposed, featuring a field of view exceeding 164°. This paper presents the development of the five-channel wide-field-of-view imaging design, starting from the optimization of the design parameters and moving toward a demonstrator setup and optical characterization. All imaging channels show an excellent image quality, indicated by an MTF exceeding 0.5 at a spatial frequency of 72 lp/mm for the visible and near-infrared imaging designs and 27 lp/mm for the thermal channel. Consequently, we believe our novel five-channel imaging design paves the way toward autonomous crop monitoring while optimizing resource usage.

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Zhu, Yihua, and Daniel Fried. "Measurement of the Depth of Lesions on Proximal Surfaces with SWIR Multispectral Transillumination and Reflectance Imaging." Diagnostics 12, no. 3 (February 26, 2022): 597. http://dx.doi.org/10.3390/diagnostics12030597.

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The aim of this study was to compare the diagnostic performance of dual short-wavelength infrared (SWIR) transillumination and reflectance multispectral imaging devices for imaging interproximal lesions with radiography using extracted teeth that had been imaged with micro-computed tomography (microCT). Thirty-six extracted teeth with 67 lesions on the proximal surfaces were imaged using a newly fabricated SWIR multispectral proximal transillumination and reflectance imaging device along with an existing SWIR multispectral occlusal transillumination and reflectance device. The ability of SWIR imaging and radiography to detect lesions and accurately assess lesion dimensions were compared using microCT as a standard. Occlusal and proximal transillumination and occlusal reflectance performed best for imaging interproximal lesions while proximal reflectance was not useful for imaging interproximal lesions from tooth buccal and lingual surfaces. There was high correlation of the lesion dimensions measured in occlusal and proximal transillumination images compared to microCT and moderate correlation in occlusal reflectance images. The correlation between the lesion depth measured in radiographs and the lesion depth measured with microCT was not significant. This study demonstrates that SWIR occlusal and proximal transillumination and SWIR occlusal reflectance images are useful for imaging interproximal lesions and they provide more accurate measurements of lesion severity.

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Fu, Qiang, Wei Yang, Haodong Shi, Yingchao Li, Su Zhang, Juntong Zhan, Jianan Liu, et al. "Design and Experiment of High-Resolution Multispectral Polarization Imaging System." Applied Sciences 12, no. 21 (October 22, 2022): 10712. http://dx.doi.org/10.3390/app122110712.

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This paper addresses the objectives in a complex context: the polarization mathematical and physical model of the basic components of the target/background is constructed by simulation modeling. The image fusion experiment is carried out based on a two-dimensional wavelet transformation. A high-resolution polarization imaging instrument was developed, and static experiments were carried out with polarization, infrared, and visible cameras. The result shows that using polarization imaging detection technology to detect physical evidence targets in complex backgrounds can effectively improve target contrast. It can enrich the target information, improve image quality, and improve target detection accuracy.

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Hubold, Martin, Johanna Karl, Robert Leitel, Norbert Danz, and Robert Brüning. "Concept, manufacturing and challenges of ultra-compact snapshot multi-spectral multi-aperture imaging systems." EPJ Web of Conferences 266 (2022): 03013. http://dx.doi.org/10.1051/epjconf/202226603013.

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Snapshot multispectral imaging is a rising non-invasive and contact-free analysis method and technology to discriminate or identify objects based on their spectral characteristics. We demonstrate a versatile system approach for compact and real-time capable snapshot cameras for the visible (VIS) and the near-infrared (NIR) or the short-wave infrared (SWIR) wavelength range based on a micro-optical multi-aperture system and various spectral filter approaches. In addition, the manufacturing, the calibration, and the limitations of the demonstration systems are described.

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Alexopoulou, Athina A., and Kaminari Agathi-Anthoula. "Multispectral Imaging Documentation of the Findings of Tomb I and II at Daphne." Greek and Roman Musical Studies 1, no. 1 (2013): 25–60. http://dx.doi.org/10.1163/22129758-12341236.

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Abstract A selection of the findings of Tombs I and II was examined using non-invasive multispectral imaging in visible and near-infrared radiation. This led to increased legibility of the text for several fragments of papyrus including underlayers, better distinction of script on tablets and better visualization of the drawings and pigment differentiation on the lekythoi.

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Sun, Xudong, Lei Huang, and Changping Liu. "Multispectral face spoofing detection using VIS–NIR imaging correlation." International Journal of Wavelets, Multiresolution and Information Processing 16, no. 02 (March 2018): 1840003. http://dx.doi.org/10.1142/s0219691318400039.

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With the wide applications of face recognition techniques, spoofing detection is playing an important role in the security systems and has drawn much attention. This research presents a multispectral face anti-spoofing method working with both visible (VIS) and near-infrared (NIR) spectra imaging, which exploits VIS–NIR image consistency for spoofing detection. First, we use part-based methods to extract illumination robust local descriptors, and then the consistency is calculated to perform spoofing detection. In order to further exploit multispectral correlation in local patches and to be free from manually chosen regions, we learn a confidence factor map for all the patches, which is used in final classifier. Experimental results of self-collected datasets, public Msspoof and PolyU-HSFD datasets show that the proposed approach gains promising results for both intra-dataset and cross-dataset testing scenarios, and that our method can deal with different illumination and both photo and screen spoofing.

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Commandré, Mireille, Benjamin Vial, Stéphane Tisserand, Laurent Roux, Hervé Dallaporta, Frédéric Bedu, Guillaume Demésy, André Nicolet, and Frédéric Zolla. "Design, fabrication and characterization of resonant metamaterial filters for infrared multispectral imaging." Thin Solid Films 592 (October 2015): 296–304. http://dx.doi.org/10.1016/j.tsf.2015.04.026.

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Huang, Qiping, Quansheng Chen, Huanhuan Li, Gengping Huang, Qin Ouyang, and Jiewen Zhao. "Non-destructively sensing pork’s freshness indicator using near infrared multispectral imaging technique." Journal of Food Engineering 154 (June 2015): 69–75. http://dx.doi.org/10.1016/j.jfoodeng.2015.01.006.

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45

Wabomba, Mukire J., Yusuf Sulub, and Gary W. Small. "Remote Detection of Volatile Organic Compounds by Passive Multispectral Infrared Imaging Measurements." Applied Spectroscopy 61, no. 4 (April 2007): 349–58. http://dx.doi.org/10.1366/000370207780466253.

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Cao, Qian, Natalia G. Zhegalova, Steven T. Wang, Walter J. Akers, and Mikhail Y. Berezin. "Multispectral imaging in the extended near-infrared window based on endogenous chromophores." Journal of Biomedical Optics 18, no. 10 (August 12, 2013): 101318. http://dx.doi.org/10.1117/1.jbo.18.10.101318.

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Ma, Te, Hikaru Kobori, Norihisa Katayama, and Satoru Tsuchikawa. "Non-Destructive Inspection of Insects in Chocolate Using near Infrared Multispectral Imaging." Journal of Near Infrared Spectroscopy 24, no. 4 (January 2016): 391–97. http://dx.doi.org/10.1255/jnirs.1237.

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Tittl, Andreas, Ann-Katrin U. Michel, Martin Schäferling, Xinghui Yin, Behrad Gholipour, Long Cui, Matthias Wuttig, Thomas Taubner, Frank Neubrech, and Harald Giessen. "A Switchable Mid-Infrared Plasmonic Perfect Absorber with Multispectral Thermal Imaging Capability." Advanced Materials 27, no. 31 (July 14, 2015): 4597–603. http://dx.doi.org/10.1002/adma.201502023.

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Delaney, John K., Kathryn A. Dooley, Lisha D. Glinsman, Paola Ricciardi, and Barbara H. Berrie. "Leonardo da Vinci’s Ginevra de' Benci: The palette and further observations on underdrawing and undermodeling." Léonard de Vinci, l’expérience de l’art Hors-série (2024): 76–85. http://dx.doi.org/10.4000/11v44.

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To further our understanding of Leonardo da Vinci’s painting practices, a new scientific research study was conducted on Ginevra de' Benci, c. 1474/1478. More information about the preparatory underdrawing, undermodeling, and palette was obtained. The new analysis included multispectral infrared reflectography at high spatial resolution (50 μm per pixel) in three spectral bands between 1000 and 2500 nm. These high-resolution infrared images were registered to the digital X-ray radiograph and color image of the painting. This allowed careful comparison of specific compositional features among the color, infrared and X-ray images which helped to deduce the paint layering sequence. A false-color infrared reflectogram helped to better visualize the undermodeling present in the face of Ginevra, as well as the pounced dots used to initially position the sitter. Finally, the pigments used were determined from non-invasive chemical point analysis using reflectance and X-ray fluorescence spectroscopies, which were found to be consistent with Leonardo’s known palette. The combination of multispectral infrared reflectography, the ability to register the images from multiple imaging methods, and the knowledge obtained about the pigments provides a more comprehensive understanding about the underdrawing and painting process of Ginevra de' Benci.

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Tran, Chieu D. "Visualising Chemical Composition and Reaction Kinetics by the near Infrared Multispectral Imaging Technique." Journal of Near Infrared Spectroscopy 8, no. 2 (March 2000): 87–99. http://dx.doi.org/10.1255/jnirs.266.

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A new multispectral imaging spectrometer which is capable of simultaneously recording spectral images in the visible and near infrared has been developed. In this instrument, an acousto-optic tunable filter (AOTF) is used to diffract an unpolarised incident light into two diffracted beams with orthogonal polarisation. One of the beams is detected by a silicon camera for the visible region while the other is detected in the near infrared (NIR) region (from 1000 to 1700nm) with an NIR camera. The imaging spectrometer is sensitive, inexpensive and field deployable because it is based on a camera using the recently available InGaAs focal plane arrays which are low-cost and can be sensitively operated at room temperature. The imaging spectrometer was used for measurements which previously were not possible. These include the kinetic determination of curing of an epoxy resin by amine, and the detection of reaction products from solid-phase peptide synthesis. Rates of reactions between epoxy and amine were found to be very inhomogeneous. Because of this kinetic inhomogeneity, differences in the degrees of cure at different positions within the sample can be as high as 37% when data from only a single pixel were used for calculation. The inhomogeneity was not observed if the average of a large number of pixels was used. The NIR imaging spectrometer was also used for the kinetic determination and identification of products formed during the solid phase peptide synthesis of glycine, alanine and valine mediated by aminomethylstyrene resin beads. Because this NIR imaging spectrometer can measure spectra at different positions within a sample, it was used for the first demonstration in which reactions of three different solid-phase peptide syntheses (in a three-compartment cell) were simultaneously monitored. Since relatively good spectra can be obtained by using data recorded by a single pixel and because the NIR camera has 240×320 pixels, this NIR multispectral imaging technique is not limited to three-compartment cell used in this study but rather can be used as the detection method for solid-phase peptide synthesis in combinatorial chemistry.

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