Autoscribe Informatics to show enhancements in analytical quality control functions to maximise laboratory throughput

Autoscribe Informatics will be demonstrating the latest version of the Matrix Gemini LIMS (Laboratory Information Management System) at Lab Innovations 2018.

New features shown for the first time include advanced analytical quality control (AQC) functions to better reflect modern practices, drive improved efficiency and maximise the use of resources across the laboratory. A new flexible ‘Container View’ that allows many different container types (such as well-plates and FluidX racks) to be represented in the LIMS will also be demonstrated for the first time at the Show.

Advanced AQC allows the laboratory to maximise sample throughput while meeting regulatory and quality standards and without compromising the quality or accuracy of data. It provides highly flexible run sheet functionality, allowing users to create run sheet templates that meet the needs of today’s analytical laboratory.  AQC samples including blanks, duplicates, replicates, spikes, controls, spike duplicates and control duplicates and their position within a run can be defined based on user-defined patterns.

Advanced AQC allows complex rules to be used when placing control samples amongst standard samples within a run sheet. These rules include set positioning of individual QC samples, leading and trailing sets of QC samples as well as repeating patterns and randomised positioning within sets of unknown samples.

Run sheets are created by selecting the unknown samples to be included and adding them to a template within the arrangement of the AQC samples. Once finalised, the run sheets can be used as load lists for instruments, which may produce results in electronic form for import into Matrix Gemini. AQC samples have appropriate calculations associated with them depending on their type and these are triggered automatically when the appropriate results have been entered into the LIMS.


Robert Roe reports on developments in AI that are helping to shape the future of high performance computing technology at the International Supercomputing Conference


James Reinders is a parallel programming and HPC expert with more than 27 years’ experience working for Intel until his retirement in 2017. In this article Reinders gives his take on the use of roofline estimation as a tool for code optimisation in HPC


Sophia Ktori concludes her two-part series exploring the use of laboratory informatics software in regulated industries.


As storage technology adapts to changing HPC workloads, Robert Roe looks at the technologies that could help to enhance performance and accessibility of
storage in HPC


By using simulation software, road bike manufacturers can deliver higher performance products in less time and at a lower cost than previously achievable, as Keely Portway discovers