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European Biopharmaceutical Review

Part Two Microarrays in the Real World: Image Analysis

The first article of this series described how the performance of microarrays is being continuously optimised through incremental improvements in experimental protocols, consumables and hardware (1). Over the same period, the techniques used to extract results from microarray images have changed little and so now represent one of the key bottlenecks in microarray-based experimentation.

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By Nick Haan and Graham Snudden, Co-Founders of BlueGnome Ltd

Dr Nick Haan trained as a Computer Systems Engineer, but soon moved to pursue his stronger interests in Mathematics and Biology through a PhD at the University of Cambridge. After his PhD, Nick continued at the University of Cambridge as a Research Associate working on the development of advanced statistical inference tools for time evolving systems, much of which has application to the analysis of biotechnology data. Nick co-founded BlueGnome Ltd in late 2001 to apply his research commercially to the data analysis problems in the drug discovery industry.


Graham Snudden has a degree in Mechanical Engineering but has built his career in software development. He has a particular expertise in data analysis and visualisation, having been involved in the development of commercial solutions for both the engineering and law enforcement communities. While working on systems to infer and visualise organised criminal networks from transactional telephone and financial data, Graham became interested in the application of similar approaches in the life sciences. Since co-founding BlueGnome, he has worked closely with users of microarray technology to develop pragmatic solutions to some of the key challenges faced by the research community.

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Dr Nick Haan trained
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Graham Snudden
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