By the same authors

Image storage for automated crystallization imaging systems

Research output: Contribution to journalBook/Film/Article reviewpeer-review

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Image storage for automated crystallization imaging systems. / Berry, IM; Diprose, JM; Esnouf, RM; Wilson, Julie C.

In: International Journal of Neural Systems, Vol. 15, No. 6, 12.2005, p. 415-425.

Research output: Contribution to journalBook/Film/Article reviewpeer-review

Harvard

Berry, IM, Diprose, JM, Esnouf, RM & Wilson, JC 2005, 'Image storage for automated crystallization imaging systems', International Journal of Neural Systems, vol. 15, no. 6, pp. 415-425. https://doi.org/10.1142/S0129065705000384

APA

Berry, IM., Diprose, JM., Esnouf, RM., & Wilson, J. C. (2005). Image storage for automated crystallization imaging systems. International Journal of Neural Systems, 15(6), 415-425. https://doi.org/10.1142/S0129065705000384

Vancouver

Berry IM, Diprose JM, Esnouf RM, Wilson JC. Image storage for automated crystallization imaging systems. International Journal of Neural Systems. 2005 Dec;15(6):415-425. https://doi.org/10.1142/S0129065705000384

Author

Berry, IM ; Diprose, JM ; Esnouf, RM ; Wilson, Julie C. / Image storage for automated crystallization imaging systems. In: International Journal of Neural Systems. 2005 ; Vol. 15, No. 6. pp. 415-425.

Bibtex - Download

@article{14930cf79db949a0bc454aaebeb78778,
title = "Image storage for automated crystallization imaging systems",
abstract = "To use crystallography for the determination of the three-dimensional structures of proteins, protein crystals need to be grown. Automated imaging systems are increasingly being used to monitor these crystallization experiments. These present problems of accessibility to the data, repeatability of any image analysis performed and the amount of storage required. Various image formats and techniques can be combined to provide effective solutions to high volume processing problems such as these, however lack of widespread support for the most effective algorithms, such as JPeg2000 which yielded a 64% improvement in file size over the bitmap, currently inhibits the immediate take up of this approach.",
keywords = "Image analysis; , image compression; , crystallization store; , laboratory automation; , protein crystallography",
author = "IM Berry and JM Diprose and RM Esnouf and Wilson, {Julie C.}",
year = "2005",
month = dec,
doi = "10.1142/S0129065705000384",
language = "English",
volume = "15",
pages = "415--425",
journal = "International Journal of Neural Systems",
issn = "0129-0657",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "6",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Image storage for automated crystallization imaging systems

AU - Berry, IM

AU - Diprose, JM

AU - Esnouf, RM

AU - Wilson, Julie C.

PY - 2005/12

Y1 - 2005/12

N2 - To use crystallography for the determination of the three-dimensional structures of proteins, protein crystals need to be grown. Automated imaging systems are increasingly being used to monitor these crystallization experiments. These present problems of accessibility to the data, repeatability of any image analysis performed and the amount of storage required. Various image formats and techniques can be combined to provide effective solutions to high volume processing problems such as these, however lack of widespread support for the most effective algorithms, such as JPeg2000 which yielded a 64% improvement in file size over the bitmap, currently inhibits the immediate take up of this approach.

AB - To use crystallography for the determination of the three-dimensional structures of proteins, protein crystals need to be grown. Automated imaging systems are increasingly being used to monitor these crystallization experiments. These present problems of accessibility to the data, repeatability of any image analysis performed and the amount of storage required. Various image formats and techniques can be combined to provide effective solutions to high volume processing problems such as these, however lack of widespread support for the most effective algorithms, such as JPeg2000 which yielded a 64% improvement in file size over the bitmap, currently inhibits the immediate take up of this approach.

KW - Image analysis;

KW - image compression;

KW - crystallization store;

KW - laboratory automation;

KW - protein crystallography

U2 - 10.1142/S0129065705000384

DO - 10.1142/S0129065705000384

M3 - Book/Film/Article review

VL - 15

SP - 415

EP - 425

JO - International Journal of Neural Systems

JF - International Journal of Neural Systems

SN - 0129-0657

IS - 6

ER -