Sentence examples for optimizing this method from inspiring English sources

Laser resonance ionization is commonly used for radioactive ion beam production at many facilities worldwide29,30 and the unmatched sensitivity achieved by optimizing this method for laser spectroscopy during the initial ion creation is well recognized5.

With the objective of optimizing this method, a 2 5-2) fractional factorial design was performed using data from UV vis spectroscopy analysis as a response surface.

Optimizing this method's performance requires new measurement techniques compatible with the millimetre length scales and rapid separation dynamics observed in UTLC.

In this paper, we optimized this method by running time evaluation using essential drugs defined by WHO and FDA-approved small-molecule drugs.

In order to optimize this method, the effect of the organic compounds and several components in the lysis buffer and the lysis and precipitation time were evaluated.

So, using the chemical conditions optimized, this method allows the determination of these elements employing the external calibration technique using aqueous standards with limits of detection and quantification of 0.04 and 0.14 µg L−1 for antimony, 0.04 and 0.14 µg L−1 for arsenic and 0.14 and 0.37 µg L−1 for selenium, respectively.

The correct combination of these factors resulted in the enhanced invasion we were able to generate upon mechanical stimulation, however there are certain to be other factors that will further optimize this method.

Given the success of earlier efforts for the identification of novel viral nucleic acids using SISPA, we sought to adapt and optimize this method as a general and cost effective technique for large scale de novo viral genome sequencing.

To optimize this method, we used input genomic DNA from rice and arabidopsis, two model systems with well-characterized genomes [ 9, 10]. Figure 2 compares the effect of the order of size selection versus ligation to the adapters by comparing the yield and size of sequenced fragments to the total number predicted from the genome sequence of the target.

The parameters of the mutation models were fitted optimizing this quantity (see Methods).

An algorithmic method for optimizing this approach is presented.