The effect of image compression on classification and storage requirements in a high-throughput crystallization system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3177, Issue , 2004, Pages 117-124

  Berry, Ian ^a   Wilson, Julie ^b   Mayo, Chris ^a   Diprose, Jon ^a   Esnouf, Robert ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF YORK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33746259387     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28651-6_17     Document Type: Article

References (10)

1. Walter, T, et al: A procedure for setting up high-throughput, nanolitre crystallization experiments. I: Protocol design and validation. J Appl Cryst 36 (2003) 308-314
2. Brown, J., Walter, T., et al: A procedure for setting up high-throughput, nanolitre crystallization experiments. II: Crystallization results. J Appl Cryst 36 (2003) 315-318
3. Wilson, J.: Towards the automated evaluation of crystallization trials. Acta Cryst D58 part 11(2002)1907-1914
4. Wilson, J.: Automated evaluation of crystallisation experiments. Cryst. Rev., Vol. 10, No.1 (2004)73-84
5. Spraggon, G., Lesley, S.A., Kreusch, A. and Priestle, I.P.: Computational analysis of crystallization trials. Acta Crystallographica, D58 part 11 (2002) 1915-1923
6. Cumbaa, C.A., Lauricella, A., Fehrman, N., Veatch, et al: Automatic classification of submicrolitre protein-crystallization trials in 1536-well plates. Acta Cryst. D59 (2003) 1619-1627
7. Bern, M., Goldberg, D., Stevens, R.C. and Kuhn, P.: Automatic classification of protein crystallization images using a curve-tracking algorithm. J. Appl. Cryst., 37 (2004) 279-287
8. Joint Photographic Experts Group (JPEG): http://www.jpeg.org
9. JPEG Image Compression FAQ: http://www.faqs.org/faqs/jpeg-faq/
10. ImageMagick: http://www.imagemagick.org