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Cited by 266

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Visualization of image data from cells to organisms

Open access
Walter, Thomas, Shattuck, David W, Baldock, Richard, Bastin, Mark E, Carpenter, Anne E, Duce, Suzanne, Ellenberg, Jan, Fraser, Adam, Hamilton, Nicholas, Pieper, Steve, Ragan, Mark A, Schneider, Jurgen E, Tomancak, Pavel, Hériché, Jean-Karim·2010·Nature Methods

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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Registry

Crossref · 10.1038/nmeth.1431

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Metadata

Authors
Walter, T., Shattuck, D. W., Baldock, R., Bastin, M. E., Carpenter, A. E., Duce, S., Ellenberg, J., Fraser, A., Hamilton, N., Pieper, S., Ragan, M. A., Schneider, J. E., Tomancak, P., & Hériché, J.-K.
Venue
Nature Methods
Published
2010-03
Volume
7
Issue
S3
Pages
S26-S41
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W1976443465
Cited by
266
References
11
FWCI
19.84
Type
journal article
Language
en
Open access
green

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