Sentence examples for distances were quantified using from inspiring English sources

Phonological distances were quantified using the numbers in the identification matrix row values of two rotated sounds, on the assumption that sounds that are more phonologically distant should exhibit a more divergent pattern of identification values across vowel and consonant categories.

Tree topology was tested based on statistical methods implemented in CONSEL, and tree distance was quantified using Robinson Foulds metric [ 41] implemented in treedist in the PHYLIP package.

Synaptic area, SV number and distance from the AZ were quantified using the Image J software.

Wound closure distances in the microscopic images were quantified using the ImageJ 1.42q program (NIH), and were calculated as: Wound distance (μm) = A0 − At, where A0 is the original wound distance and At is the distance measured at a specified time after scratching.

The resulting images were then thresholded and the 3D distances between the barycentres of FISH signals were quantified using the 4D-Viewer software package (Roper).

The distances between the dots in axial and transverse directions were quantified using image analysis (software Cell-P).

First, genetic relationships between individual samples were quantified using Nei's standard genetic distance in GENETIX 4.05 [ 62].

The images were quantified using Image J program and calculated as the distance (µm) migrated into the wound area.

Data were quantified using MetaXpress software.

All images were quantified using ImageJ (NIH).

NRF2 images were quantified using ImageJ.