Visualization of image data from cells to organisms

Thomas Walter; David W. Shattuck; Richard Baldock; Mark E. Bastin; Anne E. Carpenter; Suzanne Duce; Jan Ellenberg; Adam Fraser; Nicholas Hamilton; Steve Pieper; Mark A. Ragan; Jurgen E. Schneider; Pavel Tomancak; Jean Karim Hériché

doi:10.1038/nmeth.1431

Visualization of image data from cells to organisms

Thomas Walter, David W. Shattuck, Richard Baldock, Mark E. Bastin, Anne E. Carpenter, Suzanne Duce, Jan Ellenberg, Adam Fraser, Nicholas Hamilton, Steve Pieper, Mark A. Ragan, Jurgen E. Schneider, Pavel Tomancak, Jean Karim Hériché

Computational Biology

Research output: Contribution to journal › Review article › peer-review

207 Citations (Scopus)

Abstract

Advances in imaging techniques and high-throughput technologies are providing scientists with unprecedented possibilities to visualize internal structures of cells, organs and organisms and to collect systematic image data characterizing genes and proteins on a large scale. To make the best use of these increasingly complex and large image data resources, the scientific community must be provided with methods to query, analyze and crosslink these resources to give an intuitive visual representation of the data. This review gives an overview of existing methods and tools for this purpose and highlights some of their limitations and challenges.

Original language	English
Pages (from-to)	S26-S41
Number of pages	16
Journal	Nature Methods
Volume	7
Issue number	3
DOIs	https://doi.org/10.1038/nmeth.1431
Publication status	Published - 1 Mar 2010

ASJC Scopus subject areas

Biotechnology
Biochemistry
Molecular Biology
Cell Biology

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10.1038/nmeth.1431

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abstract = "Advances in imaging techniques and high-throughput technologies are providing scientists with unprecedented possibilities to visualize internal structures of cells, organs and organisms and to collect systematic image data characterizing genes and proteins on a large scale. To make the best use of these increasingly complex and large image data resources, the scientific community must be provided with methods to query, analyze and crosslink these resources to give an intuitive visual representation of the data. This review gives an overview of existing methods and tools for this purpose and highlights some of their limitations and challenges.",

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AU - Walter, Thomas

AU - Shattuck, David W.

AU - Baldock, Richard

AU - Bastin, Mark E.

AU - Carpenter, Anne E.

AU - Duce, Suzanne

AU - Ellenberg, Jan

AU - Fraser, Adam

AU - Hamilton, Nicholas

AU - Pieper, Steve

AU - Ragan, Mark A.

AU - Schneider, Jurgen E.

AU - Tomancak, Pavel

AU - Hériché, Jean Karim

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AB - Advances in imaging techniques and high-throughput technologies are providing scientists with unprecedented possibilities to visualize internal structures of cells, organs and organisms and to collect systematic image data characterizing genes and proteins on a large scale. To make the best use of these increasingly complex and large image data resources, the scientific community must be provided with methods to query, analyze and crosslink these resources to give an intuitive visual representation of the data. This review gives an overview of existing methods and tools for this purpose and highlights some of their limitations and challenges.

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SP - S26-S41

JO - Nature Methods

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Visualization of image data from cells to organisms

Abstract

ASJC Scopus subject areas

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Erratum: Visualization of image data from cells to organisms (Nature Methods (2010) 7 (S26-S41))

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