New Case Study From Autoscribe Informatics Highlights Use Of Matrix LIMS Over 20 Years
A new case study from Autoscribe Informatics discusses the use of the Matrix LIMS (Laboratory Information Management System) in the Cereal, Milling and Baking Science Laboratory at Allied Technical Centre (ATC). It illustrates how a flexible, configurable LIMS can be adapted by the users themselves to meet changing requirements. Successive versions of Matrix have been implemented at ATC for over 20 years, beginning with V2 in the mid-1990s.
Allied Technical Centre, in Maidenhead, Berkshire, UK, is part of Associated British Foods plc. ATC provides technical leadership in a number of areas. These include food safety, food law, product assurance and nutrition, bakery development, environmental management, consumer contact management and cereals, milling and baking science. Matrix V2 was initially purchased for registering samples and logging jobs. Following training on the configuration of Matrix, the ATC Technical Support team took ownership of Matrix and began an internal development program that has continued to the present day, extending the scope of the LIMS and utilizing Matrix to the best benefit of the laboratory.
The case study, available for download at: www.autoscribeinformatics.com/case-studies/matrix-gemini-lims-in-a-cereals-milling-and-baking-science-laboratory, shows how Matrix has transformed the management of sample data at ATC. The major benefit offered by Matrix is the configurability and the flexibility it brings in allowing staff at ATC to evolve the system to meet their needs. The case study also shows how many of the individual functions within Matrix have been found to be particularly useful.
John Boother, President of Autoscribe Informatics, said: “This case study is the perfect illustration of how Matrix can provide a ‘LIMS for life’. ATC has ported its data through different versions of Matrix over many years and has used the inherent configurability of the system not only to meet their needs exactly but also to adapt to changing requirements over an extended period of time”.
Changing Lanes: Algorithm Helps AI Drive More Like HumansNews
For self-driving cars, algorithms for changing lanes are beset by one of two problems. Either, they rely on detailed statistical models of the driving environment, which are too complex to analyze on the fly; or they’re so simple that they can lead to impractically conservative decisions, such as never changing lanes at all. Now a new algorithm hopes to split the difference, allowing aggressive lane changes than the simple models do but relies only on immediate information about other vehicles’ directions and velocities to make decisions.
Linguamatics iScite 2.0 Wins Bio-IT World’s Best of Show Judges’ PrizeNews
Linguamatics today announced that Bio-IT World has awarded Linguamatics the Best of Show Judges’ Prize for Linguamatics iScite 2.0, a software-as-a-service AI scientific search application. iScite was one of 46 products considered for this prestigious award at last week’s Bio-IT World Conference & Expo in Boston.
Comments | 0 ADD COMMENT
2nd Annual Artificial Intelligence in Drug Development Congress
Sep 20 - Sep 21, 2018