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A computer program measures the results, determining the quantity or size of the fragments, at each data point, from the level of fluorescence intensity. [1] Samples which contain higher quantities of amplified DNA will have higher corresponding RFU values. [2] [3] An "RFU peak" is a relative maximum point along a graph of the analyzed data.
A 0.5 McFarland standard is prepared by mixing 0.05 mL of 1.175% barium chloride dihydrate (BaCl 2 •2H 2 O), with 9.95 mL of 1% sulfuric acid (H 2 SO 4). [ 1 ] Now there are McFarland standards prepared from suspensions of latex particles, which lengthens the shelf life and stability of the suspensions.
Two criteria to determine the C q are used by different thermocyclers: threshold cycle (C t) is the number of cycles required for the fluorescent signal to cross a given value threshold. Usually, the threshold is set above the baseline, about 10 times the standard deviation of the noise of the baseline, [1] to avoid random effects on the C t ...
3-dimensional [18 F]FDG-PET image with 3D ROI generated by a threshold based algorithm.The blue dot in the MIP image bottom right marks the maximum SUV within the ROI.. The standardized uptake value (SUV) is a nuclear medicine term, used in positron emission tomography (PET) as well as in modern calibrated single photon emission tomography (SPECT) imaging for a semiquantitative analysis. [1]
In statistics, truncation results in values that are limited above or below, resulting in a truncated sample. [1] A random variable y {\displaystyle y} is said to be truncated from below if, for some threshold value c {\displaystyle c} , the exact value of y {\displaystyle y} is known for all cases y > c {\displaystyle y>c} , but unknown for ...
The value obtained is largely dependent on the susceptibility of the microorganism and the antimicrobial potency of the chemical, but other variables can affect results too. [5] The MIC is often expressed in micrograms per milliliter (μg/mL) or milligrams per liter (mg/L).
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The liability-threshold model is a threshold model of categorical (usually binary) outcomes in which a large number of variables are summed to yield an overall 'liability' score; the observed outcome is determined by whether the latent score is smaller or larger than the threshold. The liability-threshold model is frequently employed in ...