Occupational Safety: Portable Exposure Assessment System for Prevention of Musculoskeletal Injury

CDC researchers have developed the Portable Exposure Assessment System (PEAS), a field-based, remotely deployed tool to monitor and provide early warning of working conditions that have a high likelihood of musculoskeletal injury. PEAS is a noninvasive, real-time, instrument-based system. Sensor technology simultaneously measures and collects data regarding the body loads and awkward postures imposed by package handling as well as driving-related, low-frequency vibrations.

Hearing Safety Devices: System for Monitoring Exposure to Impulse Noise

This CDC-developed technology entails a system for monitoring and assessing the risk of auditory damage from exposure to impulse noise, such as noise created by construction machinery and firearms. Noise dosimeters have been used extensively over the past two decades to document personal exposure to noise and assure workplaces comply with permissible noise exposure levels. However, due to older methods of calculating "noise dose," current noise dosimeters often inaccurately determine the risk of an impulse event.

Select100™ Multi-Specimen Loader and Image Acquisition System

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Over the last 15 years, the application of computers to microscopes has significantly enhanced the level of automation that is possible once a specimen has been inserted into the microscope. A long-standing bottleneck has been the automated delivery of multiple specimens into an electron microscope, and overcoming this has presented researchers with significant challenges.

An Interactive Software Package for the Analysis of Microarray Data

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The emergence of bioinformatics tools, which integrate molecular biology and genomics with computer based information technology, is bringing about a revolution in our understanding of the molecular mechanisms underlying normal and dysfunctional biological processes. The microarray is one such tool that caused a paradigm shift in the manner in which researchers collect and analyze genetic data.

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