Application of a neural network in high-throughput protein crystallography

A. Berntson, V. Stojanoff, H. Takai

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


High-throughput protein crystallography requires the automation of multiple steps used in the protein structure determination. One crucial step is to find and monitor the crystal quality on the basis of its diffraction pattern. It is often time-consuming to scan protein crystals when selecting a good candidate for exposure. The use of neural networks for this purpose is explored. A dynamic neural network algorithm to achieve a fast convergence and high-speed image recognition has been developed. On the test set a 96% success rate in identifying properly the quality of the crystal has been achieved.

Original languageEnglish
Pages (from-to)445-449
Number of pages5
JournalJournal of Synchrotron Radiation
Issue number6
StatePublished - 1 Nov 2003
Externally publishedYes


  • Neural networks
  • Protein crystallography
  • X-ray diffraction


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