Integrated state evaluation for the images of crystallization droplets utilizing linear and nonlinear classifiers.

@article{Kawabata2006IntegratedSE,
  title={Integrated state evaluation for the images of crystallization droplets utilizing linear and nonlinear classifiers.},
  author={Kuniaki Kawabata and Kanako Saitoh and Mutsunori Takahashi and Mitsuaki Sugahara and Hajime Asama and Taketoshi Mishima and Masashi Miyano},
  journal={Acta crystallographica. Section D, Biological crystallography},
  year={2006},
  volume={62 Pt 9},
  pages={1066-72}
}
In a usual crystallization process, the researchers evaluate the protein crystallization growth states based on visual impressions and repeatedly assign scores throughout the growth process. Although the development of crystallization robotic systems has generally realised the automation of the setup and storage of crystallization samples, evaluation of crystallization states has not yet been completely automated. The method presented here attempts to categorize individual crystallization… CONTINUE READING

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