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Data quantification of immunohistochemical analysis was carried out blindly with respect to treatments.
By taking "virtual" slices from the data, quantification of microstructural properties was done using classical methods.
For these data quantification limits (LOQ) were reported, which are 3.3 times the detection limit.
According to the effective concentration and data quantification, the various libraries were pooled and sequenced using Illumina HiSeq/MiSeq.
We presented a novel pipeline which interfaces with a number of different commercial software to provide improved PET data quantification.
For each animal, DRG, spinal cord and hippocampal sections (eight for each sample) were randomly selected for data quantification.
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Quality of the data and quantification was computed using Real-Time Statminer© software (www.integromics.com).com
These data allowed quantification of efficacy of inhibition between 17β-HSDs 1 of different species.
The latter allows for larger sampling thus to generate more data for quantification.
This ensured optimal full-scan data for quantification.
For MIFE ion flux data and quantification data, treatment means were separated using the t-test.
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