Automated Multi-spectral Characterization System (AMCS)

Examples of User Application

Real-time characterization can be difficult. Factors complicating real-time measurement, calibration and analysis are the degradation effect generated by time dependent environmental effects, lack of reliable library database for environmental matrix effects (high pressure, molecular plasma, etc.) and insufficient computational techniques to correct in-situ measurements in real-time for quantitative characterization.

AMCS is designed to minimize these problems. AMCS is capable of more accurate real-time quantitative characterization, because it takes into account spectral shifts and broadening, as well as detecting spectral interference and degradation.

Advances in laser and optical fiber technologies have prompted an increase in the use of in-situ sensors for remote sensing, including laser-induced breakdown (LIB) spectrometers and remote sensing laser radar (LIDAR). These techniques require minimally invasive sample preparation and separation, but their analytic success depends on real-time data acquisition, calibration, analysis, identification, and interactive display.

AMCS is designed to meet these needs as well.

The following two examples show how AMCS can be used for accurate real-time measurements of actual data.

Analysis of the Matrix Effect of Metal Elements
in Soil Measured by a Laser-Induced Breakdown
Spectrometer (LIBS)
Real-Time Characterization of Semiconductor
Etching Process in a Reactor Measured by
Optical Emission Spectrometer

	Atomic Engineering Corp.
	P.O. Box 3342 Gaithersburg, MD 20885-3342 Tel: (301) 330-2902