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 Heriche

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 Heriche

Research output: Contribution to journal › Article › peer-review

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 - Mar 2010

Keywords / Materials (for Non-textual outputs)

Magnetic Resonance Imaging
Microscopy
Image Processing, Computer-Assisted

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10.1038/nmeth.1431

Visualization of image data from cells to organisms
NIH Public Access Author Manuscript
Accepted author manuscript, 2.18 MB

http://www.nature.com/nmeth/journal/v7/n3s/full/nmeth.1431.html

Cite this

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title = "Visualization of image data from cells to organisms",

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.",

keywords = "Magnetic Resonance Imaging, Microscopy, Image Processing, Computer-Assisted",

author = "Thomas Walter and Shattuck, \{David W.\} and Richard Baldock and Bastin, \{Mark E.\} and Carpenter, \{Anne E.\} and Suzanne Duce and Jan Ellenberg and Adam Fraser and Nicholas Hamilton and Steve Pieper and Ragan, \{Mark A.\} and Schneider, \{Jurgen E.\} and Pavel Tomancak and Jean-Karim Heriche",

year = "2010",

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T1 - Visualization of image data from cells to organisms

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 - Heriche, Jean-Karim

PY - 2010/3

Y1 - 2010/3

N2 - 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.

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.

KW - Magnetic Resonance Imaging

KW - Microscopy

KW - Image Processing, Computer-Assisted

UR - https://www.scopus.com/pages/publications/77649266028

U2 - 10.1038/nmeth.1431

DO - 10.1038/nmeth.1431

M3 - Article

C2 - 20195255

SN - 1548-7091

VL - 7

SP - S26-S41

JO - Nature Methods

JF - Nature Methods

IS - 3

ER -

Visualization of image data from cells to organisms

Abstract

Keywords / Materials (for Non-textual outputs)

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