Sentence examples for light for detection from inspiring English sources

We show analytically that this process is capable of producing enough light for detection.

Qualitative expression of GFP was examined under UV light for detection of fluorescence.

Imaging at depth in tissue a more challenging target because imaging takes place through a turbid medium and we rely on backscattered probe light for detection, which decreases exponentially with depth [ 23].

As such, the validity of the NICE traffic light system for detection of other serious bacterial infections (such as meningitis, osteomyelitis, and septic arthritis) could not be assessed with confidence.

Changes in the resulting photocurrent through the graphene film showed that the fabricated graphene-coupled PDMS optical waveguide sensor was sensitive to visible light for biomolecular detection [86].

An identical objective lens collected transmitted light for position detection and bright-field imaging, as described in Min et al. (2009).

In this framework, it has been mathematically demonstrated that the algorithms of minimax and adaptive estimation of the Wigner function to be used in the following allow the tomographic reconstruction of quantum states of light for any homodyne detection efficiency η, excluding the existence of a lower bound to the efficiency beyond which faithful reconstruction is impossible [11, 12].

Combining sensory and light response property, the light-controlled reversible sensor for detection of Be2+ was realized.

The laser-based instrument, known as lidar, short for "light detection and ranging," is similar to radar, except that it uses laser light instead of radio waves.

Automatic ground filtering for Light Detection And Ranging (LIDAR) data is a critical process for Digital Terrain Model (DTM) and three-dimensional urban model generation.

Spectral features may either be extracted from 2D-georeferenced images, as shown here for Light Detection and Ranging (LiDAR) point clouds, or extracted directly for passive-derived point clouds, i.e. from multiple-view imagery.