Case Studies
Below is a selection of case studies. If you would like more detail on a particular study please click on the link.
Matrix Gemini LIMS at work in the Nuclear Industry
The nuclear power generation industry has some very specific requirements both during the active life of a generating station and throughout its decommissioning phase. The environment around every station is carefully monitored. The monitoring programme is stringent and amongst a variety of regulatory requirements, calls for routine and accurate testing and measurement, the maintenance and security of both current and historic data, statistical and trend reports and the submission of quarterly and annual reports to the Environment Agency. This case study describes how the station at Bradwell uses Matrix Gemini to manage their District Survey environmental monitoring programme.
Matrix Gemini LIMS at work in Cancer Research Trials
The Roy Castle Lung Cancer Foundation (RCLCF) is a UK wide charity dedicated to the defeat of lung cancer. RCLCF funds research into the early detection of lung cancer. One of its projects is researching the early diagnosis of lung cancer. Its main aim is to identify people who are at a high risk of developing the disease by using molecular genetics technologies and epidemiology. The management of the human tissue samples stored for clinical trials is stringently monitored and must meet the regulatory guidelines of the Human Tissue Act (HTA) and work must be done in compliance with Good Clinical Laboratory Practice (GCLP). The case study details how RCLCF have used Matrix Gemini to help them manage their research facility and meet the regulatory guidelines of the HTA and GCLP.
Matrix Gemini LIMS at work in the Food Industry
At Westward Laboratories automation and mechanisation are the key requirements in the high throughput microbiology laboratory. Westward Laboratories have implemented a solution that uses Matrix Gemini LIMS in conjunction with a Kiestra Lab Automation system to give increased productivity, reduced human error and improved tracking and traceability of samples. This case study describes their system.
