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Images were analyzed using our Globulator software [ 32], which was developed to identify sizes and locations of milk fat globules, cytoplasmic crescents, and nucleated cells, and to compute summary statistics.
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Knowledge of normal anatomy of the saccule is important in order to identify size and shape modifications in pathological conditions.
A factorial experimental design allowed us to identify size-influent parameters and to obtain optimized ≈30 nm nanoparticles.
Then, they open and read classes in the Source Code Editor view (Fig. 1 b) to identify size and coupling attributes.
Distinguishing between those size classes allows one to identify size-dependent strengths and weaknesses of the tools considered.
Clinical records were reviewed to determine age at diagnosis, family history and clinical findings; pathological reports to identify size, grade, type and nodal status; and imaging studies to determine breast density, lesion type, classification and size.
The largest clinically significant CNV identified sized 14.53 Mb while the smallest was 0.12 Mb.
The reports are the basis for identifying size, location, and mass-like or non-mass-like enhancement of the lesions.
In 2006, the Sendai Consensus Guidelines identified size >3.0 cm as the only independent predictor of malignancy in incidentally discovered pancreatic cysts.
The planned sample was increased from the minimum identified size of 900 refugee households to 1400 refugee households and 700 Lebanese host community households to provide increased precision of point estimates and additional power.
Nearly 50% of the respondents identified size as the most important fruit criterion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com