Automated classification of crystallisation images.

Research output: Contribution to journalArticlepeer-review

Abstract

The findings of many crystallisation experiments are required in order to identify conditions that will produce diffraction quality crystals. The use of robots has increased the number of experiments performed in most laboratories and, in structural genomics centres, tens of thousands of experiments can be produced every day. As each experiment must be assessed regularly over a period of time, visual inspection is becoming increasingly impractical and automated imaging systems are now available to record the results; the aim of this research is the development of software to analyse and classify images from crystallisation trials.
Original languageEnglish
Pages (from-to)61-66
Number of pages6
JournalEuropean Pharmaceutical Review
Volume3
Publication statusPublished - 1 Mar 2007

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