Hyperspectral Imaging System: Development Aspects and Recent Trends

Lodhi, Vaibhav; Chakravarty, Debashish; Mitra, Pabitra

doi:10.1007/s11220-019-0257-8

Cited by 33 publications

(14 citation statements)

References 78 publications

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“…The volume of the imager is only about 45.5 mm 3 . Smaller volume systems play a heuristic role in portable environmental monitoring equipment, wearable electronic consumer products, and low power, integrated remote sensing instruments [32], [33]. The optimized phase distributions of the dispersive metasurface and the focusing metasurface are shown in Fig.…”

Section: A System Design and Simulationmentioning

confidence: 99%

Planar Hyperspectral Imager With Small Smile and Keystone Based on Two Metasurfaces

et al. 2022

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Metasurfaces, which are ultrathin planar artificial materials flexibly controlling the phase, amplitude, and polarization of the light, have facilitated the high integration and miniaturization of hyperspectral imaging systems. However, the pushbroom hyperspectral imaging systems based on metasurfaces usually face the large smile and keystone, which reduces the spectral uniformity and the fidelity of the spectral information. Moreover, the employment of many metasurfaces would cause manufacturing difficulties. In this paper, a planar hyperspectral imager only using two metasurfaces is proposed to achieve a spectral resolution of 3.5 nm in 850-1000 nm band with the near diffraction-limited focusing capability, and its maximum of smile and keystone reach to 124.4 μm and 33.6 μm for the image plane size of 4.75 mm × 1.35 mm and pixel size of 26 μm × 26 μm, respectively. This imager can provide a promising avenue for portable environmental monitoring systems and wearable electronic consumer products.

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Section: A System Design and Simulationmentioning

confidence: 99%

Planar Hyperspectral Imager With Small Smile and Keystone Based on Two Metasurfaces

et al. 2022

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“…Hyperspectral imaging setups produce a 3D data matrix often referred to as hypercube. Two of the dimensions are reserved for the spatial information ( x , y coordinate) while the third dimension represents the spectroscopic information ( λ coordinate) [ 6 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, it is capable of visualizing common features in the data set to detect possible groups and their heterogeneity within samples [ 24 ]. PCA combined with hyperspectral imaging data can highlight the relative distributions of different components in mixtures and reveal the spectral features in the spectroscopic data [ 9 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Pharmaceutical Tablets Using UV Hyperspectral Imaging as a Rapid In-Line Analysis Tool

Ktash

Stefanakis

Boldrini

et al. 2021

Sensors

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A laboratory prototype for hyperspectral imaging in ultra-violet (UV) region from 225 to 400 nm was developed and used to rapidly characterize active pharmaceutical ingredients (API) in tablets. The APIs are ibuprofen (IBU), acetylsalicylic acid (ASA) and paracetamol (PAR). Two sample sets were used for a comparison purpose. Sample set one comprises tablets of 100% API and sample set two consists of commercially available painkiller tablets. Reference measurements were performed on the pure APIs in liquid solutions (transmission) and in solid phase (reflection) using a commercial UV spectrometer. The spectroscopic part of the prototype is based on a pushbroom imager that contains a spectrograph and charge-coupled device (CCD) camera. The tablets were scanned on a conveyor belt that is positioned inside a tunnel made of polytetrafluoroethylene (PTFE) in order to increase the homogeneity of illumination at the sample position. Principal component analysis (PCA) was used to differentiate the hyperspectral data of the drug samples. The first two PCs are sufficient to completely separate all samples. The rugged design of the prototype opens new possibilities for further development of this technique towards real large-scale application.

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“…Hyperspectral imaging is a technique that integrates a conventional spectroscopic system with imaging in order to acquire spectral and spatial information from the area of interest [6][7][8][9]. Therefore, hyperspectral imaging enables quantitative analysis with improved levels of accuracy [4,10,11].…”

Section: Introductionmentioning

confidence: 99%

UV Hyperspectral Imaging as Process Analytical Tool for the Characterization of Oxide Layers and Copper States on Direct Bonded Copper

Ktash

Stefanakis

Englert

et al. 2021

Sensors

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Hyperspectral imaging and reflectance spectroscopy in the range from 200–380 nm were used to rapidly detect and characterize copper oxidation states and their layer thicknesses on direct bonded copper in a non-destructive way. Single-point UV reflectance spectroscopy, as a well-established method, was utilized to compare the quality of the hyperspectral imaging results. For the laterally resolved measurements of the copper surfaces an UV hyperspectral imaging setup based on a pushbroom imager was used. Six different types of direct bonded copper were studied. Each type had a different oxide layer thickness and was analyzed by depth profiling using X-ray photoelectron spectroscopy. In total, 28 samples were measured to develop multivariate models to characterize and predict the oxide layer thicknesses. The principal component analysis models (PCA) enabled a general differentiation between the sample types on the first two PCs with 100.0% and 96% explained variance for UV spectroscopy and hyperspectral imaging, respectively. Partial least squares regression (PLS-R) models showed reliable performance with R2c = 0.94 and 0.94 and RMSEC = 1.64 nm and 1.76 nm, respectively. The developed in-line prototype system combined with multivariate data modeling shows high potential for further development of this technique towards real large-scale processes.

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Hyperspectral Imaging System: Development Aspects and Recent Trends

Cited by 33 publications

References 78 publications

Planar Hyperspectral Imager With Small Smile and Keystone Based on Two Metasurfaces

Planar Hyperspectral Imager With Small Smile and Keystone Based on Two Metasurfaces

Characterization of Pharmaceutical Tablets Using UV Hyperspectral Imaging as a Rapid In-Line Analysis Tool

UV Hyperspectral Imaging as Process Analytical Tool for the Characterization of Oxide Layers and Copper States on Direct Bonded Copper

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