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 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.

Finding diabetic nephropathy biomarkers in the plasma peptidome by high-throughput magnetic bead processing and MALDI-TOF-MS analysis

2010 ◽  
Vol 4 (8-9) ◽  
pp. 697-705 ◽  
Author(s):  
Henning G. Hansen ◽  
Julie Overgaard ◽  
Maria Lajer ◽  
Frantisek Hubalek ◽  
Peter Højrup ◽  
...  
Keyword(s):  
Diabetic Nephropathy ◽  
High Throughput ◽  
Magnetic Bead ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Ms Analysis ◽  
Tof Ms

ChemInform Abstract: Novel Propargylamine-Linked Nucleosides for High Throughput SNP Genotyping by MALDI-TOF MS

ChemInform ◽  
2010 ◽  
Vol 32 (48) ◽  
pp. no-no
Author(s):  
Thomas Wenzel ◽  
Thomas Froehlich ◽  
Kathrin Strassburger ◽  
Susann Richter ◽  
Jacqueline Bimmler ◽  
...  
Keyword(s):  
High Throughput ◽  
Snp Genotyping ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Tof Ms

scholarly journals High-throughput identification of the microbial biodiversity of cocoa bean fermentation by MALDI-TOF MS

2016 ◽  
Vol 63 (5) ◽  
pp. 347-355 ◽  
Author(s):  
S. Miescher Schwenninger ◽  
S. Freimüller Leischtfeld ◽  
C. Gantenbein-Demarchi
Keyword(s):  
High Throughput ◽  
Cocoa Bean ◽  
Microbial Biodiversity ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Cocoa Bean Fermentation ◽  
Tof Ms
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