Ziath has announced that it will launch a revolutionary web-based 2D-barcoded tube identification product - Datapaq 5 at SLAS 2020 in San Diego, USA.

In modern laboratories - samples are typically stored in large -80°C freezers, liquid nitrogen tanks or fully automated stores that are often inconveniently situated in an outbuilding or a basement. Datapaq 5 is the first of a new generation of digital sample management tools being developed by Ziath to allow sample management technicians to quickly and accurately log sample identity at the point of storage or retrieval.

Datapaq 5 will run from any computer on a local network or over the internet if your IT rules allow, using a web-based highly intuitive graphical user interface. Datapaq 5 provides visual confirmation of tube identity and individual tube image inspection. From launch, this exciting new product will be available on Ziath's popular camera-based 2D barcoded scanners the Mirage, Express and the Cube.

Datapaq 5 offers a convenient way to use a 2D barcoded tube or rack scanner anywhere across a laboratory or an organisation’s site where a suitable laptop or computer is available. Thanks to its web-based interface, Datapaq 5’s user interface will run on both Microsoft and Apple operating systems.

The new web-based software includes a host of features designed to streamline the collection of tube information for subsequent processing in inventory management software, such as Ziath’s popular Samples program.

In a further development - Ziath are also debuting an Android app that can run their rack scanners from a mobile device directly, in addition to using a web interface. This will put tube identification directly into the technician’s hands as they access their samples, wherever they may be stored.

For further information on Datapaq 5 please visit SLAS Booth 1548 or contact Ziath.

About Ziath

Founded in 2005, Ziath specialises in development of innovative instrumentation control and information management products using 2D DataMatrix bar-coded tubes to simplify automation processes in life science organisations, from academia, to the biotech and pharma industries.

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