scholarly journals Hyperspectral imaging for high-throughput, spatially resolved spectroscopic scatterometry of silicon nanopillar arrays

2020 ◽  
Vol 28 (10) ◽  
pp. 14209
Author(s):  
Brian Gawlik ◽  
Crystal Barrera ◽  
Edward T. Yu ◽  
S. V. Sreenivasan
Keyword(s):  
Hyperspectral Imaging ◽  
High Throughput ◽  
Spatially Resolved ◽  
Nanopillar Arrays

scholarly journals The Performances of Hyperspectral Sensors for Proximal Sensing of Nitrogen Levels in Wheat

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4550
Author(s):  
Huajian Liu ◽  
Brooke Bruning ◽  
Trevor Garnett ◽  
Bettina Berger
Keyword(s):  
Hyperspectral Imaging ◽  
High Throughput ◽  
Management Practices ◽  
Leaf Tissue ◽  
Plant Phenotyping ◽  
Proximal Sensing ◽  
N Content ◽  
Hyperspectral Sensors ◽  
Wheat Leaves ◽  
Non Destructive

The accurate and high throughput quantification of nitrogen (N) content in wheat using non-destructive methods is an important step towards identifying wheat lines with high nitrogen use efficiency and informing agronomic management practices. Among various plant phenotyping methods, hyperspectral sensing has shown promise in providing accurate measurements in a fast and non-destructive manner. Past applications have utilised non-imaging instruments, such as spectrometers, while more recent approaches have expanded to hyperspectral cameras operating in different wavelength ranges and at various spectral resolutions. However, despite the success of previous hyperspectral applications, some important research questions regarding hyperspectral sensors with different wavelength centres and bandwidths remain unanswered, limiting wide application of this technology. This study evaluated the capability of hyperspectral imaging and non-imaging sensors to estimate N content in wheat leaves by comparing three hyperspectral cameras and a non-imaging spectrometer. This study answered the following questions: (1) How do hyperspectral sensors with different system setups perform when conducting proximal sensing of N in wheat leaves and what aspects have to be considered for optimal results? (2) What types of photonic detectors are most sensitive to N in wheat leaves? (3) How do the spectral resolutions of different instruments affect N measurement in wheat leaves? (4) What are the key-wavelengths with the highest correlation to N in wheat? Our study demonstrated that hyperspectral imaging systems with satisfactory system setups can be used to conduct proximal sensing of N content in wheat with sufficient accuracy. The proposed approach could reduce the need for chemical analysis of leaf tissue and lead to high-throughput estimation of N in wheat. The methodologies here could also be validated on other plants with different characteristics. The results can provide a reference for users wishing to measure N content at either plant- or leaf-scales using hyperspectral sensors.

scholarly journals From the Laboratory to The Vineyard—Evolution of The Measurement of Grape Composition using NIR Spectroscopy towards High-Throughput Analysis

2019 ◽  
Vol 8 (4) ◽  
pp. 21
Author(s):  
Aoife Power ◽  
Vi Khanh Truong ◽  
James Chapman ◽  
Daniel Cozzolino
Keyword(s):  
Chemical Composition ◽  
Hyperspectral Imaging ◽  
High Throughput ◽  
Analytical Methods ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Chemical Compounds ◽  
Spectroscopic Techniques ◽  
High Throughput Analysis ◽  
Laboratory Methods

Compared to traditional laboratory methods, spectroscopic techniques (e.g., near infrared, hyperspectral imaging) provide analysts with an innovative and improved understanding of complex issues by determining several chemical compounds and metabolites at once, allowing for the collection of the sample “fingerprint”. These techniques have the potential to deliver high-throughput options for the analysis of the chemical composition of grapes in the laboratory, the vineyard and before or during harvest, to provide better insights of the chemistry, nutrition and physiology of grapes. Faster computers, the development of software and portable easy to use spectrophotometers and data analytical methods allow for the development of innovative applications of these techniques for the analyses of grape composition.

scholarly journals Hyperspectral imaging-based exosome microarray for rapid molecular profiling of extracellular vesicles

Lab on a Chip ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 196-204
Author(s):  
Yifei Wang ◽  
Qinming Zhang ◽  
Wang Yuan ◽  
Yixuan Wang ◽  
Hannah J. Loghry ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Extracellular Vesicles ◽  
High Throughput ◽  
Hyperspectral Image ◽  
Cell Types ◽  
Molecular Profiling ◽  
Microarray Technology ◽  
Similar Cell

A high-throughput hyperspectral image-based exosome (EV) microarray technology to differentiate EVs released by similar cell types or phenotypes.

scholarly journals High-Resolution Cathodoluminescence Hyperspectral Imaging of Nitride Nanostructures

2012 ◽  
Vol 18 (6) ◽  
pp. 1212-1219 ◽  
Author(s):  
Paul R. Edwards ◽  
Lethy Krishnan Jagadamma ◽  
Jochen Bruckbauer ◽  
Chaowang Liu ◽  
Philip Shields ◽  
...  
Keyword(s):  
High Resolution ◽  
Hyperspectral Imaging ◽  
Low Noise ◽  
Luminescent Materials ◽  
Treatment Methods ◽  
Data Treatment ◽  
Spatially Resolved ◽  
Single Dataset ◽  
Cathodoluminescence Imaging

AbstractHyperspectral cathodoluminescence imaging provides spectrally and spatially resolved information on luminescent materials within a single dataset. Pushing the technique toward its ultimate nanoscale spatial limit, while at the same time spectrally dispersing the collected light before detection, increases the challenge of generating low-noise images. This article describes aspects of the instrumentation, and in particular data treatment methods, which address this problem. The methods are demonstrated by applying them to the analysis of nanoscale defect features and fabricated nanostructures in III-nitride-based materials.

scholarly journals Seeing the wood for the trees: hyperspectral imaging for high throughput QTL detection in raspberry, a perennial crop species

2021 ◽  
Vol 1 (1) ◽  
pp. 1-11
Author(s):  
Dominic Williams ◽  
◽  
Christine A. Hackett ◽  
Alison Karley ◽  
Susan McCallum ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
High Throughput ◽  
Qtl Detection ◽  
Perennial Crop ◽  
Crop Species

scholarly journals Application of a Novel Low-Cost Hyperspectral Imaging Setup Operating in the Mid-Infrared Region

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 800 ◽  
Author(s):  
Jakob Kilgus ◽  
Robert Zimmerleiter ◽  
Kristina Duswald ◽  
Florian Hinterleitner ◽  
Gregor Langer ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Low Cost ◽  
Infrared Region ◽  
Spatially Resolved ◽  
Spectral Identification ◽  
Fabry Perot ◽  
Imaging Approach ◽  
Reflection Geometry ◽  
Fingerprint Region ◽  
Working Distance

In this contribution, we demonstrate the realization and application of a low-cost, flexible, small and fast hyperspectral imaging approach operating in the midinfrared fingerprint region where most molecules exhibit their fundamental vibrations. Following this approach, the recording of chemical images of macroscopic-sized samples at standoff distances in reflection geometry is possible. The optical setup is based on spectral identification by means of a MEMS-based Fabry-Pérot interferometer combined with 2D-snapshot spatial resolution using a bolometer camera. Results show the successful spatially resolved (resolution below 500 µm) chemical identification of different samples deposited on a metal surface (FOV = 6 × 5 cm) at a working distance of 35 cm.

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