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Authors = Leigh R. Stanger ORCID = 0000-0003-4853-1399

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13 pages, 7969 KiB  
Article
Low-Cost Hyperspectral Imaging with A Smartphone
by Mary B. Stuart, Andrew J. S. McGonigle, Matthew Davies, Matthew J. Hobbs, Nicholas A. Boone, Leigh R. Stanger, Chengxi Zhu, Tom D. Pering and Jon R. Willmott
J. Imaging 2021, 7(8), 136; https://doi.org/10.3390/jimaging7080136 - 5 Aug 2021
Cited by 32 | Viewed by 10496
Abstract
Recent advances in smartphone technologies have opened the door to the development of accessible, highly portable sensing tools capable of accurate and reliable data collection in a range of environmental settings. In this article, we introduce a low-cost smartphone-based hyperspectral imaging system that [...] Read more.
Recent advances in smartphone technologies have opened the door to the development of accessible, highly portable sensing tools capable of accurate and reliable data collection in a range of environmental settings. In this article, we introduce a low-cost smartphone-based hyperspectral imaging system that can convert a standard smartphone camera into a visible wavelength hyperspectral sensor for ca. £100. To the best of our knowledge, this represents the first smartphone capable of hyperspectral data collection without the need for extensive post processing. The Hyperspectral Smartphone’s abilities are tested in a variety of environmental applications and its capabilities directly compared to the laboratory-based analogue from our previous research, as well as the wider existing literature. The Hyperspectral Smartphone is capable of accurate, laboratory- and field-based hyperspectral data collection, demonstrating the significant promise of both this device and smartphone-based hyperspectral imaging as a whole. Full article
(This article belongs to the Special Issue Hyperspectral Imaging and Its Applications)
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18 pages, 2928 KiB  
Article
Reconstruction of Microscopic Thermal Fields from Oversampled Infrared Images in Laser-Based Powder Bed Fusion
by Leigh Stanger, Thomas Rockett, Alistair Lyle, Matthew Davies, Magnus Anderson, Iain Todd, Hector Basoalto and Jon R. Willmott
Sensors 2021, 21(14), 4859; https://doi.org/10.3390/s21144859 - 16 Jul 2021
Cited by 3 | Viewed by 2869
Abstract
This article elucidates the need to consider the inherent spatial transfer function (blur), of any thermographic instrument used to measure thermal fields. Infrared thermographic data were acquired from a modified, commercial, laser-based powder bed fusion printer. A validated methodology was used to correct [...] Read more.
This article elucidates the need to consider the inherent spatial transfer function (blur), of any thermographic instrument used to measure thermal fields. Infrared thermographic data were acquired from a modified, commercial, laser-based powder bed fusion printer. A validated methodology was used to correct for spatial transfer function errors in the measured thermal fields. The methodology was found to make a difference of 40% to the measured signal levels and a 174 °C difference to the calculated effective temperature. The spatial gradients in the processed thermal fields were found to increase significantly. These corrections make a significant difference to the accuracy of validation data for process and microstructure modeling. We demonstrate the need for consideration of image blur when quantifying the thermal fields in laser-based powder bed fusion in this work. Full article
(This article belongs to the Special Issue Thermal Imaging Sensors and Their Applications)
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13 pages, 3402 KiB  
Article
Low-Cost Hyperspectral Imaging System: Design and Testing for Laboratory-Based Environmental Applications
by Mary B. Stuart, Leigh R. Stanger, Matthew J. Hobbs, Tom D. Pering, Daniel Thio, Andrew J.S. McGonigle and Jon R. Willmott
Sensors 2020, 20(11), 3293; https://doi.org/10.3390/s20113293 - 9 Jun 2020
Cited by 37 | Viewed by 9357
Abstract
The recent surge in the development of low-cost, miniaturised technologies provides a significant opportunity to develop miniaturised hyperspectral imagers at a fraction of the cost of currently available commercial set-ups. This article introduces a low-cost laboratory-based hyperspectral imager developed using commercially available components. [...] Read more.
The recent surge in the development of low-cost, miniaturised technologies provides a significant opportunity to develop miniaturised hyperspectral imagers at a fraction of the cost of currently available commercial set-ups. This article introduces a low-cost laboratory-based hyperspectral imager developed using commercially available components. The imager is capable of quantitative and qualitative hyperspectral measurements, and it was tested in a variety of laboratory-based environmental applications where it demonstrated its ability to collect data that correlates well with existing datasets. In its current format, the imager is an accurate laboratory measurement tool, with significant potential for ongoing future developments. It represents an initial development in accessible hyperspectral technologies, providing a robust basis for future improvements. Full article
(This article belongs to the Special Issue Hyperspectral Imaging (HSI) Sensing and Analysis)
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