The high sampling rate in MSE data acquisition enables collection of sufficient data points to quantify peak ion intensities and was implemented in the label-free quantification of proteins based on observation that the intensity of three most intense (most efficiently ionized) tryptic peptides (Hi3 method) of a protein can be used as a measure of its abundance [ 38].
Quantification was carried out using the label-free quantification algorithm implemented in MaxQuant using a minimal ratio count of 2 and the "match between runs" option enabled.
To calculate the relative expression ratio, the 2-ΔΔCt (RQ, relative quantification) method implemented in the 7500 Real Time PCR System software [ 49] was used.
After being implemented in a heat exchanger model, the quantification method is validated against experimental data.
This type of normalization, albeit common in secondary ion mass spectrometry (SIMS) data quantification, is seldom implemented in the plasma community when dealing with nitrogen depth profiles acquired by Auger electron spectroscopy.
A common misconception in literature is that the confidence class as implemented in ChEMBL is interpreted as quality quantification rather than classification (i.e. the higher the confidence, the better, using data points confidence class higher than 7).
The OS quantification algorithm was implemented in Matlab (The MathWorks, Natick, MA, version 2010b).
With the proposed data processing scheme, a fully automated SRR quantification method was implemented in MATLAB based on SPM8.
Skeleton processing, graph processing, and the quantification methods are implemented in independent modules so any improvement or extension to any of these processes can be made very easily.
Based on previous work [ 22], a light source consisting of modules with LED's centered at 658, 730, and 850 nm were implemented in the system to optimize chromophore quantification.
