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RTS Life Science Announces New Technical Paper Discussing Volume and Precipitate Identification of Samples in Storage

Released on: October 28, 2008, 4:05 pm

Press Release Author: The Scott Partnership

Industry: -- Choose an Industry --

Press Release Summary: Manchester, UK (October 28 2008) RTS Life Science, a
worldwide supplier of automated sample management and drug delivery testing systems,
today announces the availability of a new free of charge technical paper about the
analysis of sample volumes in a store. Entitled "Applying Vision Technology to
Calculate the Volume of Sample in a Tube", the informative poster discusses the
benefits of RTS' innovative vision system technology. The poster is now available
free of charge in downloadable pdf format via www.rtslifescience.com or via e-mail
on lifescience.info@rts-group.com.

Press Release Body:
RTS Life Science Announces New Technical Paper Discussing Volume and Precipitate
Identification of Samples in Storage

Manchester, UK (October 28 2008) RTS Life Science, a worldwide supplier of automated
sample management and drug delivery testing systems, today announces the
availability of a new free of charge technical paper about the analysis of sample
volumes in a store. Entitled "Applying Vision Technology to Calculate the Volume of
Sample in a Tube", the informative poster discusses the benefits of RTS' innovative
vision system technology. The poster is now available free of charge in downloadable
pdf format via www.rtslifescience.com or via e-mail on
lifescience.info@rts-group.com.

Presented for the first time at the Drug Discovery 2008 conference in September, the
technical poster is authored by Julio Maher, Simon Sheard, David Harding and Sue
Jones of RTS Life Science. The detailed poster describes how RTS partnered with a
major pharmaceutical company to upgrade its tube store with a vision system that
routinely and accurately audits tubes to calculate sample volumes and identify any
particulate matter.

Calculating the precise volume of a residual sample in a tube has always been an
inexact science. Traditional methods include weighing, software or manual analysis.
All of these techniques can prove both time consuming and inaccurate. RTS Life
Science's technical paper demonstrates how a large pharmaceutical company eliminated
these lengthy approaches by incorporating novel vision system technology into its
sample store. Using a camera mounted in the store, RTS implemented an image analysis
stage between sample storage and picking that allowed the volume of liquid in the
tubes to be calculated to an accuracy of +/- 10ul.

By applying vision technology to its tube store, the pharmaceutical company can now
be confident about the volume of samples in the tubes it receives. As well as
eliminating previous lengthy manual steps, the unique vision system technology also
alerts the customer to tubes where compounds have precipitated out of solution.

With 25 years of experience delivering automation solutions, RTS Life Science is a
major supplier of large scale sample storage and testing within the laboratory
environment. For more information about RTS Life Science or to download the poster
in pdf format please visit www.rtslifescience.com or alternatively please e-mail
lifescience.info@rts-group.com
About RTS Life Science:

RTS Life Science is a UK-based supplier of drug discovery and drug delivery
automation solutions for large scale sample management and high throughput testing
in laboratories. RTS Life Science is owned by Robotic Technology Systems PLC, an
AIM-listed company.

For further press information please contact: Sophie Downend, The Scott Partnership,
1, Whiteside, Station Road, Holmes Chapel, Cheshire, CW4 8AA United Kingdom Tel: +
44 1477 539539 Fax: +44 1477 539540 e-mail to: rts@scottpr.com


Web Site: http://

Contact Details: For further press information please contact: Sophie Downend, The
Scott Partnership, 1, Whiteside, Station Road, Holmes Chapel, Cheshire, CW4 8AA
United Kingdom Tel: + 44 1477 539539 Fax: +44 1477 539540 e-mail to:
rts@scottpr.com

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