Sentence examples for technical assay from inspiring English sources

We evaluated intra- and inter-assay imprecision at a minimum of one level for each analyte to assess technical assay performance (please see supplementary Table S1).

Technical assay validation was done according to the international guide.

All measurements were performed at least in duplicates; technical assay variance was less than 10%.

Technical assay validation was performed according to international guidelines of assay development.

International consensus is now urgently needed on quality-control issues and criteria for acceptable technical assay performance, to permit comparisons between different assay platforms.

The NanoStringNorm R package and nSolver Analysis Software (NanoString Technologies, version 2.5) were used to account for technical assay variation using the geometric mean method.

Relative RNA values were calculated using formulas for ΔΔCt, the Pfaffl method [70], and according to Norgard, et al [71], applied to qRT-PCR data from total RNA samples (triplicate technical assays and the indicated number of biological replicates).

Comparisons with other mouse phenotype datasets, often aimed at identifying contrasting biological variables in a pair of strains used in a genetic cross, remain difficult due to differences in genetic backgrounds, technical assays and maintenance conditions that inevitably induce phenotype variations, even in self contained experiments [28].

In fact, the usefulness of systemic biomarkers has been evaluated in several clinical settings (e.g., the emergency room and intensive care unit and during hospitalization) and for a number of diseases; therefore, the standardization of technical assays is necessary for all biomarker studies to provide meaningful data.

The first-strand cDNA (2 μl) and the no-template control (NTC, 2 μl) were used as templates for three technical replication assays in each 20 μl reaction mixture under the following conditions: denaturation at 95°C for 2 min, followed by 40 cycles of 95°C for 15 s and 60°C for 30 s.

To compare the impact of sample processing related variables to the impact due to assay technical variability, we used technical repeats (2 3 repeats per subject) to determine the coefficient of variation of corresponding log2-expression signals (average of 2.7%).