LIMS

PRESS RELEASE

Matrix Gemini LIMS

Autoscribe Informatics has annoucned that the latest version of its Matrix Gemini LIMS now provides faster and more efficient editing of LIMS data by eliminating the need for a second editing screen

PRESS RELEASE

Workflows Manager

AgileBio, an IT solutions specialist providing web-based software for life sciences, has announced the release of a new add-on for LabCollector called Workflows Manager.

PRESS RELEASE

Matrix Gemini LIMS

The OneTime configuration tools provided with Autoscribes Matrix Gemini Laboratory Information Management System (LIMS), not only allows the system to be configured without the use of custom programming, but also provides an audit trail each time a display screen for the system is updated or modified

PRESS RELEASE

BlazeLink

Blaze Systems has announced a new release of its BlazeLink instrument-interfacing middleware to interface any instrument to any LIMS/ELN/SDMS

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Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process

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Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory

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This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.

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This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value

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This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment