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PerkinElmer unveils LSAs for improved radioactivity detection

PerkinElmer : 09 January, 2008  (New Product)
PerkinElmer Life and Analytical Sciences has launched a new family of Tri-Carb liquid scintillation analysers (LSAs) suitable for academic, drug discovery, environmental and government researchers who require radiometric detection.
A major step forward in automated sample tracking, the new family of Tri-Carb LSAs features a barcode reader system, an industry first in liquid scintillation analysers.

“The advanced barcode reader technology integrated into the new Tri-Carb LSAs reduces errors in sample tracking and improves lab efficiency with enhanced sample screening and post-processing data analysis capabilities,” said Dr Richard Eglen, president, Molecular Medicine, PerkinElmer Life and Analytical Sciences. 'In addition, our patented and proven time-resolved liquid scintillation counting (TR-LSC) technology reduces electronic background, thereby increasing radioactivity detection sensitivity.'

Research labs use liquid scintillation analysis as an essential measurement tool for applications that require radioisotope tracers. With these new product technology innovations, researchers can screen against a target contaminant threshold and track thousands of samples taken each day with confidence in data accuracy and integrity.

The new family of Tri-Carb LSAs will bring productivity improvements to a broad array of customers and application areas.

The Tri-Carb LSA is available in four models, from basic to advanced capabilities, and offers capacity for add-on options:

- The 2810 base model is designed for a wide range of basic research applications.

- The 2910 offers greater throughput and enhanced features, including extra protocol capacity, Replay sample recall and reprocessing and single/dual colour-corrected DPM.

- The 3110 model provides many standard features including high sensitivity count mode, sample preview and region optimisation.

- The 3180 fully loaded model provides the highest sensitivity counting and is especially well-suited for environmental analysis.
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