Automated Classification of Images from Crystallisation Experiments

Julie C. Wilson, Petra Perner (Editor)

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution


Protein crystallography can often provide the three-dimensional structures of macro-molecules necessary for functional studies and drug design. However, identifying the conditions that will provide diffraction quality crystals often requires numerous experiments. The use of robots has led to a dramatic increase in the number of crystallisation experiments performed in most laboratories and, in structural genomics centres, tens of thousands of experiments can be produced daily. The results of these experiments must be assessed repeatedly over time and inspection of the results by eye is becoming increasingly impractical. A number of systems are now available for automated imaging of crystallisation experiments and the primary aim of this research is the development of software to automate image analysis.
Original languageEnglish
Title of host publicationAdvances in Data Mining: Applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Subtitle of host publicationProceedings of the 6th Industrial Conference on Data Mining In: ICDM 2006 6th Industrial Conference on Data Mining, 14-15 July 2006, Leipzig, Germany.
Number of pages15
ISBN (Print)978-3-540-36036-0
Publication statusPublished - 1 Feb 2006

Publication series

NameLecture Notes in Computer Science

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