Sentence examples for reduce experimental variability from inspiring English sources

In the current study, we pooled the data from both right and left hemispheres of three different rats, to reduce experimental variability.

To reduce experimental variability as much as possible, we utilized a highly reproducible, computerized platform for automated HS in mice that we have used recently in conjunction with mechanistic mathematical modeling of post-T/HS inflammation [21].

All samples were prepared in duplicate from the reverse transcription stage to reduce experimental variability.

Treatment and recovery groups were electrophoresed at the same time as controls to reduce experimental variability; failure to visualize comet tails in etoposide-damaged cells was used to indicate failed electrophoresis, in which case the data was not used.

Reactions were run on Applied Biosystems ABI PRISM 7700 Sequence Detection System as follows: 95°C for 10 min, followed by 40 cycles of 95°C for 15 sec, 60°C for 1 min. The 12 samples that had been run on chips were run in exposed unexposed pairs to reduce experimental variability.

To reduce experimental variability, all images were taken with the same time and exposure settings and the experiments were designed to include, in the same 96-well plates, cells from different patients and controls and cells exposed to the different drugs and concentrations.

Screening with the GFP-tagged reporter offers a technical advantage over endogenous Shank1 staining because the GFP fluorescence necessarily stems from the neuron transfected with the RNAi constructs and reduces experimental variability introduced by immunostaining.

This simpler experimental design reduces experimental variability, allowing focus on systematic issues that arise using this method.

Therefore, the logistic, technical and financial challenges faced with gnotobiotic conditions may not in all circumstances weigh up to the improvements they may bring in reducing experimental variability.

This could possibly be due to the fewer manipulations in the direct random method compared to the other two methods, reducing experimental variability and providing greater precision.

This strategy greatly reduces experimental variability and significantly increases sensitivity in the detection and quantification of selected peptides (Bauer et al., 2014).