Efficient sample tracking with openlabframework

Markus List, Steffen Schmidt, Jakub Trojnar, Jochen Thomas, Mads Thomassen, Torben A. Kruse, Qihua Tan, Jan Baumbach, Jan Mollenhauer

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


The advance of new technologies in biomedical research has led to a dramatic growth in experimental throughput. Projects therefore steadily grow in size and involve a larger number of researchers. Spreadsheets traditionally used are thus no longer suitable for keeping track of the vast amounts of samples created and need to be replaced with state-of-the-art laboratory information management systems. Such systems have been developed in large numbers, but they are often limited to specific research domains and types of data. One domain so far neglected is the management of libraries of vector clones and genetically engineered cell lines. OpenLabFramework is a newly developed web-application for sample tracking, particularly laid out to fill this gap, but with an open architecture allowing it to be extended for other biological materials and functional data. Its sample tracking mechanism is fully customizable and aids productivity further through support for mobile devices and barcoded labels.

Original languageEnglish
Article number4278
JournalScientific Reports
StatePublished - 4 Mar 2014
Externally publishedYes


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