Image storage for automated crystallization imaging systems

IM Berry; JM Diprose; RM Esnouf; Julie C. Wilson

doi:10.1142/S0129065705000384

Image storage for automated crystallization imaging systems

IM Berry, JM Diprose, RM Esnouf, Julie C. Wilson

Research output: Contribution to journal › Book/Film/Article review › peer-review

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.

Original language	English
Pages (from-to)	415-425
Number of pages	10
Journal	International Journal of Neural Systems
Volume	15
Issue number	6
DOIs	https://doi.org/10.1142/S0129065705000384
Publication status	Published - Dec 2005

Keywords

Image analysis;
image compression;
crystallization store;
laboratory automation;
protein crystallography

Access to Document

10.1142/S0129065705000384

Cite this

@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",

number = "6",

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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

SN - 0129-0657

VL - 15

SP - 415

EP - 425

JO - International Journal of Neural Systems

JF - International Journal of Neural Systems

IS - 6

ER -