Increasing Lab Efficiency with an Open Source LIMS
A Laboratory Information Management System (LIMS) is a
software-based laboratory and information
management system that provides streamlined workflow automation and
management. This type of software is typically used in analytical
laboratories such as R&D labs, in-process testing labs and
quality assurance labs.
A LIMS seeks to embrace the way you work, offering single
sample, batch samples and manual or automated methods, producing
reports for internal or external customer use. Management of resources
is an important characteristic of planning work allocation against
availability and for auto analysers around calibration and maintenance
There are a number of benefits a LIMS brings to the laboratory
environment, most significantly; increased productivity and improved
data quality, both of which reduce operating costs and free up human
resources from mundane activities. This type of software
also serves to improve capacity, offering faster turnaround time for
customers, higher accuracy and quality control, live
searches, and can interface with other departments.
The task of selecting the best LIMS for an organization can be
complicated, in part, because many terms used to describe very
different LIMS and system architectures are used interchangeably.
To provide an insight into the quality of software that is
available, we have compiled a list of 4 open source LIMS that are worth
investigating. We recommend experimenting with them to see if they meet
your requirements. Hopefully, there will be something of interest for
wanting to control, manage, organize and document information.
Now, let's explore the laboratory information management
systems at hand. For each title we have compiled its own portal page, a
full description with an in-depth analysis of its features, a
screenshot of the software in action, together with links to relevant
resources and reviews.
|Laboratory Information Management
and flexible web based LIMS
LIMS and Data Repository
||Lets users perform Bio-Informatics
for projects, samples and their related data
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Last Updated Sunday, August 17 2014 @ 09:03 AM EDT