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Laboratory information management systems (LIMS) - Articles and news items
Supplier news / 10 November 2016 / Broughton Software
Global pharmaceutical and biotechnology company Wockhardt has chosen the latest version of Broughton Software’s LabHQ LIMS for its new quality control laboratories in Wrexham…
Lonza to Hold Free Webinar on LIMS and MODA-EM™ Solution – A Comprehensive Solution for Pharmaceutical Manufacturing Quality Control
Supplier news / 20 October 2016 / Lonza
Lonza will hold a free 60-minute webinar on 2 November 2016 titled “LIMS and MODA-EM™ Solution – A Comprehensive Solution for Pharmaceutical Manufacturing Quality Control”…
Over the past 20 years, I have participated in numerous LIMS implementation projects in a variety of roles. I have participated as a subject matter expert (SME), validation coordinator, programmer, System Administrator and technical representative, and have worked both in the laboratories and IS during these projects; gaining an insight to both perspectives. Over time, I have come to realise that all projects will experience common pitfalls that impact the success of the project. The information presented below is based on my personal experiences across all LIMS projects in which I’ve participated…
Informatics: The use of LIMS in the management of translational research and pilot manufacturing operations
Informatics, Issue 5 2013 / 22 October 2013 / Diana Russom (Department of Information Technology Systems, Beckman Research Institute of the City of Hope) / Amira Ahmed and Nancy Gonzalez (Laboratory for Cellular Medicine, Beckman Research Institute of the City of Hope) / David L. DiGiusto (Laboratory for Cellular Medicine and Department of Virology, Beckman Research Institute of the City of Hope)
The volume of data generated in modern medical research centres is growing exponentially and becoming more diverse as advancements in automation and biotechnology transform the basic operations of these laboratories and clinics. Patient care and laboratory instrumentation generate data at a rate that rapidly outpaces the ability to track and process information with traditional (manual) methods. We found that a robust electronic information management system is essential to maintain control over operations in a dependable and compliant fashion. Over the last seven years, we have developed and implemented a Laboratory Information Management (LIMS) system in our academic translational research laboratory and have since expanded to related research and clinical manufacturing operations. We describe examples of how the LIMS system was developed, implemented and how workflows were streamlined; and time and labour were reduced for routine data collection and management requirements, all while ensuring compliance with federal and state regulations.
Using LIMS for biobanking and implementing LIMS for research.
Biologics development and ELN: A good match?
And transforms process efficiencies at Nova Biologicals …
What were the drivers that helped launch the laboratory information management system (LIMS) and electronic laboratory notebook (ELN)? This article will trace the history of LIMS and ELN from their emergence into the future. Technology development did play a big role to be sure, but the desire of scientists to minimise time performing and analysing experiments provided the biggest push. By looking at the past, one can quite often get a better perspective of what the future will bring. There will be many issues to consider, primarily how to manage and preserve the vast amount of scientific electronic information that is being generated daily.
Over the past 40 years, the development of increasingly powerful computers has played a major role in the advancement of laboratory experimentation. Initially, the high processing capabilities of computers were exploited to perform complex calculations at unprecedented speeds, often offline to a company’s main frame.
Issue 4 2007 / 21 July 2007 / William P. Janzen, President and COO, Amphora Discovery
Automated systems and modern pharmaceuticals have both had a hugely positive impact on human life. While these technologies developed in parallel with one another during roughly the same time period in the early 20th century, they didn’t interact until automation found its way into the laboratory in the 1970s.
Issue 4 2007 / 21 July 2007 / Dr. Simon Weston, Programme Delivery Leader, Discovery, AstraZeneca
The paper notebook has played a central role in the recording of the methods and results of scientific research for centuries. It has some strengths: portability, flexibility and (to some degree) incontrovertibility but in an enterprise environment it has many weaknesses. Chief among these is that the vast majority of information entered is lost to the enterprise unless substantial processes and governance structures are created to ensure its dissemination. However, even if these are in place, searching for relevant information is likely to be time-consuming and difficult since there is no automated search capability below the level of the physical book.
Issue 3 2007 / 23 May 2007 / Karol Kozak and Benjamin Eshun, Data Handling in TDS, Max Planck Institute of MolecularCell Biology and Genetics, Germany. Jeff Oegema, CEO, Scionics Computer Innovation, GmbH
Data management has become one of the central issues in High Content Screening (HCS) as it has high potential within predictive toxicity assessments. In particular, HCS applying automated microscopy requires a technology and system which is capable of storing and analying vast amounts of image and numeric data. HCS data includes comprehensive information about the bioactive molecules, the targeted genes and images, as well as their extracted data matrices after acquisition. Here we describe a bioinformatics solution HCS LIMS (Laboratory Information Management System) for the management of data from different screening microscopes. Additionally, the data handling approaches used in HCS for image converting, compression and archiving of images are discussed.
The growing popularity of Electronic Data Capture (EDC) is indicative of a broad recognition that EDC as a method of data capture offers significant realisable benefits. Developers of drugs that use EDC within their clinical research processes will have a significant competitive advantage, bringing new drugs and therapies to market faster and cheaper.
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