Laboratory Automation
RJ Lee Group's automated analysis tools and techniques streamline throughput to deliver results that encompass more comprehensive data for a larger sample population.
RJ Lee Group has developed laboratory automation tools and techniques to assist our clients in attaining and maintaining a competitive position while increasing capacity and improving the productivity of lab operations to advance data quality and promote uniformity.
Computer-Controlled Scanning Electron Microscopy (CCSEM)
CCSEM combines a scanning electron microscope (SEM), x-ray analyzer (EDS) and digital scan generator controlled by intelligent software. Using this technique, large numbers of individual particles can be located, sized and characterized quickly, i.e., seconds per particle. These particles can then be grouped into particle type (species) classes based on their elemental composition and shape.
Dr. Lee, founder of the company, is widely regarded as a pioneer in the development and application of CCSEM for environmental particulate. Under his direction the company later successfully integrated automated software with the Personal SEM (PSEM TM 1) which was designed and first manufactured by RJ Lee Group. Our experts continued to develop new applications and improve existing ones while at the same time adapting applications for newer instruments to raise the bar for the competitive edge in automated technologies. Driven by client demand and RJ Lee Group's mission to advance science, modified versions of CCSEM include applications for gun shot residue (GSR), medical device defects, and inclusions in steel. We collaborate with industries to custom design needed applications and with instrument manufacturers to interface those applications with their instrumentation.
Automated Steel Cleanliness Analysis Tool (ASCAT)
The demand for cleaner steel makes characterizing inclusions trapped during the solidification process increasingly important. Once there is a fundamental understanding of the origins of these inclusions, it is possible to make informed decisions on how to control their formation. Further separation of the inclusions in terms of composition and size focuses on those inclusions that impact quality. Using this knowledge, clients can evaluate their process to gauge how changes to their process might affect the composition of the inclusion.
The ASCAT, developed by RJ Lee Group, is an automated analysis tool that quickly identifies and characterizes inclusions. The ASCAT generates cost savings by increasing production and reducing downgrades to produce cleaner steels.
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