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In principle, the analysis of heavy metal ions (take Pb2+ for example) using ASV method has three main steps, including accumulation, electrochemical reduction, and stripping out.
The proposed method comprises of two main steps, including signal amplification step, called immuno-loop-mediated isothermal amplification (immuno-LAMP or iLAMP), followed by ultra-sensitive detection of amplified signal.
Directed evolution involves four main steps including choosing a parent protein, creating a mutant library based on the parent protein, identifying variants with improved target properties, and repeating the entire process until achieving the desired function, shown in Fig. 3.
Gene expression results were summarized based on raw probe intensities using the Robust Multichip Average [30] and the APT package (http://www.affymetrix.com/partnerSupplementaryprograms/programs/developer/tools/powertools.affx), following three main steps including background correction, quantile normalization and log2-transformation.
The MinimalQ pipeline contains five main steps, including 1) preprocessing (mentioned in Datasets and Preprocessing), 2) computing MinimalQ values (the MinimalQ program), 3) computing the MinimalQ statistics (the Qstatistics program), 4) analyzing the statistics and determining the thresholds (mentioned in Results and Discussion), and 5) obtaining the selected subset (the MinimalQFilter program).
This technique consists of three main steps, including the isolation of chondrocytes from healthy cartilage tissue, chondrocyte cultivation or expansion in vitro over 2-3 weeks, and the reinjection of chondrocytes into the injured cartilage covered with a periosteal flap [ 1].
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Fig. 1 Flowchart of the main steps included in the study.
Its main steps includes 1. Segmenting the original image and calculating TAM in each segmented sub-region. 2.
The main steps included co-condensation of bridged silsesquioxane with NbCl5 in the presence of H3PW12O40 and carefully adjusting Si-to-Nb molar ratio in the initial gel mixture.
In that context, this paper describes the monitoring project developed for a 2.0 MW wind turbine, the description of the installed monitoring system, as well as the main steps included in the methodology developed for the continuous processing of the collected data.
The Hessian-affine detector is an affine-invariant region detector, and its main steps include initial region detector with Hessian matrix and automatic characteristic scale selection, shape estimation with the second moment matrix, and affine region normalization to the circular one.
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