Sentence examples for visually classified from inspiring English sources

The cells were visually classified into four categories on the basis of extent of migration such as undamaged (UD), low damage (LD), moderate damage (MD) and high damage (HD).

Soil collected from areas subjected to different fire severities was visually classified as: unburned-inside of sprout clumps (UI), unburned-outside of sprout clumps (UO), burned with low severity-outside of sprout clumps (BLO), burned with moderate severity-inside of sprout clumps (BMI), and burned with high severity-inside of sprout clumps (BHI).

The aerial land surface images (4402 scenes) were visually classified into four types according to the forest condition: no-green canopy and snow floor (Type 1), green canopy and snow floor (Type 2), no-green canopy and no-snow floor (Type 3), and green canopy and no-snow floor (Type 4).

More than 50%% of the samples were visually classified to have polished surfaces.

Within the food type DC, three groups of leaves were analysed which were visually classified by their colour (light, middle and dark brown).

When analysing microparticles, which had been visually classified as microplastics, with Fourier transform infrared spectroscopy (FT-IR), up to 70%% of the particles were not confirmed to be plastics [11].

This approach visually classifies fragments into several shapes, and then applies formulae developed for each shape to calculate the average cross-sectional area.

The posture classification analysis method involved visually classifying upper extremity joint angles into specific zones relative to the range of motion for every one-third second (10 frames) of videotape.

Reviewers were first asked to visually classify 18F-FDG images into four patterns: "none," "diffuse," "focal," or "focal on diffuse," where the none and diffuse patterns were considered physiological.

We used MPDs to visually classify each of the 60 gene deletions into different classes (File S3).

These two optical parameters were chosen as they have been identified as properties that experts use to visually classify atherosclerotic tissue on IVOCT images [ 11, 12, 16].