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The uncertainty in the chloride deposition map was quantified as the 5th and 95th percentile of 1000 calibrated models produced via Null Space Monte Carlo analysis and the spatial variability of chloride deposition across the continent was consistent with landscape morphology.
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Once the map is quantified, local tissue deformation can be characterized by using a deformation gradient tensor calculated at each location (Fig. 1B).
Tissue lesions and level of tissue colonization with MAP were quantified as measure for the manifestation and dissemination of the infection.
The spatial structure of the parameter maps was quantified with spatial fast Fourier transforms for each of the three maps (rotation, radial and eye position).
The volume of GM and WM found within the left and right hemispheres for the three different probabilistic maps were quantified across subjects.
Key features of the resulting maps are quantified using virtual experiments and compared to experimental data.
The high-quality genomic DNA isolated from fresh leaves of these homozygous mapping individuals was quantified (Qubit 2.0 Fluorometer, Life Technologies, USA) to equal concentration.
Using these maps, the AFCS was quantified at the district level to identify local variation in the carbon stocks.
Distortion was then assessed by voxel displacement maps calculated from the field map data; signal loss was quantified by the measured SNR in each of the EPI acquisitions.
The relative expression of the protein bands of IκB-α (∼37 kDa), NF-κB p65 (65 kDa), Bax (∼23 kDa), Bcl-2 (∼26 kDa), FasL (∼40 kDa), phospho-p38 MAP Kinase (43 kDa), was quantified by densitometry with Image Quant TL software (GE Healthcare) and standardized for densitometry analysis to housekeeping gene levels.
Each indicator was quantified and mapped at the municipal level (n = 164) combining different proxy- and process-based models.
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