High-throughput snapshot spectral imaging in two dimensions

2003 ◽  
Author(s):  
Andrew R. Harvey ◽  
David W. Fletcher-Holmes
Keyword(s):  
High Throughput ◽  
Spectral Imaging ◽  
Two Dimensions

scholarly journals Biomass estimation of cultivated red algae Pyropia using unmanned aerial platform based multispectral imaging

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Shuai Che ◽  
Guoying Du ◽  
Ning Wang ◽  
Kun He ◽  
Zhaolan Mo ◽  
...  
Keyword(s):  
High Throughput ◽  
Vegetation Index ◽  
Multispectral Imaging ◽  
Vegetation Indices ◽  
Spectral Imaging ◽  
Shielding Effect ◽  
Quadratic Model ◽  
Biomass Estimation ◽  
Marine Aquaculture ◽  
Significant Difference

Abstract Background Pyropia is an economically advantageous genus of red macroalgae, which has been cultivated in the coastal areas of East Asia for over 300 years. Realizing estimation of macroalgae biomass in a high-throughput way would great benefit their cultivation management and research on breeding and phenomics. However, the conventional method is labour-intensive, time-consuming, manually destructive, and prone to human error. Nowadays, high-throughput phenotyping using unmanned aerial vehicle (UAV)-based spectral imaging is widely used for terrestrial crops, grassland, and forest, but no such application in marine aquaculture has been reported. Results In this study, multispectral images of cultivated Pyropia yezoensis were taken using a UAV system in the north of Haizhou Bay in the midwestern coast of Yellow Sea. The exposure period of P. yezoensis was utilized to prevent the significant shielding effect of seawater on the reflectance spectrum. The vegetation indices of normalized difference vegetation index (NDVI), ratio vegetation index (RVI), difference vegetation index (DVI) and normalized difference of red edge (NDRE) were derived and indicated no significant difference between the time that P. yezoensis was completely exposed to the air and 1 h later. The regression models of the vegetation indices and P. yezoensis biomass per unit area were established and validated. The quadratic model of DVI (Biomass = − 5.550DVI2 + 105.410DVI + 7.530) showed more accuracy than the other index or indices combination, with the highest coefficient of determination (R2), root mean square error (RMSE), and relative estimated accuracy (Ac) values of 0.925, 8.06, and 74.93%, respectively. The regression model was further validated by consistently predicting the biomass with a high R2 value of 0.918, RMSE of 8.80, and Ac of 82.25%. Conclusions This study suggests that the biomass of Pyropia can be effectively estimated using UAV-based spectral imaging with high accuracy and consistency. It also implied that multispectral aerial imaging is potential to assist digital management and phenomics research on cultivated macroalgae in a high-throughput way.

scholarly journals A Microarray Screening Platform with an Experimental Conditions Gradient Generator for the High-Throughput Synthesis of Micro/Nanosized Calcium Phosphates

2020 ◽  
Vol 21 (11) ◽  
pp. 3939
Author(s):  
Xiaoyu Li ◽  
Zhifeng Shi ◽  
Lei Liu ◽  
Guanglin Zhu ◽  
Jianhua Zhou ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Calcium Phosphates ◽  
Two Dimensions ◽  
Experimental Conditions ◽  
Biomedical Materials ◽  
Biomedical Material ◽  
Gradient Generator ◽  
Microarray Screening ◽  
Screening Platform

Calcium phosphates (CaP) represent an impressive kind of biomedical material due to their excellent biocompatibility, bioactivity, and biodegradability. Their morphology and structure highly influence their properties and applications. Whilst great progress has been made in research on biomedical materials, there is still a need to develop a method that can rapidly synthesize and screen micro/nanosized biomedical materials. Here, we utilized a microarray screening platform that could provide the high-throughput synthesis of biomedical materials and screen the vital reaction conditions. With this screening platform, 9 × 9 sets of parallel experiments could be conducted simultaneously with one- or two-dimensions of key reaction condition gradients. We used this platform to establish a one-dimensional gradient of the pH and citrate concentration and a two-dimensional gradient of both the Ca/P ratio and pH to synthesize CaP particles with various morphologies. This screening platform also shows the potential to be extended to other reaction systems for rapid high-throughput screening.

Synthesis technique of a low-profile multiple sub-beam phased array antenna for high-throughput satellite applications

2020 ◽  
pp. 1-18
Author(s):  
Elham Sharifi Moghaddam ◽  
Arash Ahmadi
Keyword(s):  
High Throughput ◽  
Phased Array ◽  
Design Procedure ◽  
Angular Distance ◽  
Two Dimensions ◽  
Size Reduction ◽  
Array Antenna ◽  
Phased Array Antenna ◽  
Multiple Beam ◽  
Technical Requirements

Abstract Sub-beam concept is very useful for size reduction of multiple beam phased array antenna (PAA) systems that are applied for high-throughput communication satellites. In this paper, the synthesis procedure for a PAA with multiple sub-beams in two dimensions of the coverage domain is proposed and analyzed. In the design procedure, the interleaved sub-arraying technique has been applied to eliminate the grating lobes. The extremely short angular distance between adjacent sub-beams is challenging. An innovative beam forming network is proposed, which can generate multiple orthogonal sub-beams while keeping the required angular distance between sub-beams. To demonstrate the effectiveness of the design technique, an example considering the requirements derived from conceptual design of a high-throughput communication payload is presented. The array is optimized using the genetic algorithm while taking into account the technical requirements of the antenna. The gain patterns exhibit a 0.4° angular distance between adjacent sub-beams. In addition, the number of sub-arrays and element spacing guarantee the orthogonality of the sub-beams. The calculated carrier to interference ratio in the synthesized array shows that it has acceptable values in each spot. The aperture size reduction in the synthesized array compared to a conventional multiple beam array is more than 36.7%.

High Throughput Spectral Imaging System for Wholesomeness Inspection of Chicken

2008 ◽  
Vol 24 (4) ◽  
pp. 475-485 ◽  
Author(s):  
K. Chao ◽  
C.-C. Yang ◽  
M. S. Kim ◽  
D. E. Chan
Keyword(s):  
High Throughput ◽  
Imaging System ◽  
Spectral Imaging

LA-ICP-TOF-MS for rapid, all-elemental and quantitative bioimaging, isotopic analysis and the investigation of plasma processes

2019 ◽  
Vol 34 (4) ◽  
pp. 694-701 ◽  
Author(s):  
Oliver Bolle Bauer ◽  
Oliver Hachmöller ◽  
Olga Borovinskaya ◽  
Michael Sperling ◽  
Hans-Joachim Schurek ◽  
...  
Keyword(s):  
High Throughput ◽  
Spectral Imaging ◽  
Isotopic Analysis ◽  
Imaging Approach ◽  
Tof Ms ◽  
Rat Kidneys

This work presents a high-throughput and quasisimultaneous, full-spectral imaging approach for the analysis of cisplatin perfused rat kidneys using LA-ICP-TOF-MS.

scholarly journals A High-Throughput Assay for Quantifying Phenotypic Traits of Microalgae

2021 ◽  
Vol 12 ◽  
Author(s):  
Phoebe A. Argyle ◽  
Jana Hinners ◽  
Nathan G. Walworth ◽  
Sinead Collins ◽  
Naomi M. Levine ◽  
...  
Keyword(s):  
High Throughput ◽  
Large Scale ◽  
Experimental Studies ◽  
Principal Component ◽  
Two Dimensions ◽  
Marine Diatom ◽  
Phenotypic Traits ◽  
Low Volume ◽  
Commercial Applications ◽  
High Throughput Assay

High-throughput methods for phenotyping microalgae are in demand across a variety of research and commercial purposes. Many microalgae can be readily cultivated in multi-well plates for experimental studies which can reduce overall costs, while measuring traits from low volume samples can reduce handling. Here we develop a high-throughput quantitative phenotypic assay (QPA) that can be used to phenotype microalgae grown in multi-well plates. The QPA integrates 10 low-volume, relatively high-throughput trait measurements (growth rate, cell size, granularity, chlorophyll a, neutral lipid content, silicification, reactive oxygen species accumulation, and photophysiology parameters: ETRmax, Ik, and alpha) into one workflow. We demonstrate the utility of the QPA on Thalassiosira spp., a cosmopolitan marine diatom, phenotyping six strains in a standard nutrient rich environment (f/2 media) using the full 10-trait assay. The multivariate phenotypes of strains can be simplified into two dimensions using principal component analysis, generating a trait-scape. We determine that traits show a consistent pattern when grown in small volume compared to more typical large volumes. The QPA can thus be used for quantifying traits across different growth environments without requiring exhaustive large-scale culturing experiments, which facilitates experiments on trait plasticity. We confirm that this assay can be used to phenotype newly isolated diatom strains within 4 weeks of isolation. The QPA described here is highly amenable to customisation for other traits or unicellular taxa and provides a framework for designing high-throughput experiments. This method will have applications in experimental evolution, modelling, and for commercial applications where screening of phytoplankton traits is of high importance.

Towards High-Throughput Coded Aperture Compressive Spectral Imaging

2020 ◽  
Author(s):  
Hoover Rueda-Chacon ◽  
R. Molina V. Daniel ◽  
Henry Arguello
Keyword(s):  
High Throughput ◽  
Spectral Imaging ◽  
Coded Aperture
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