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

Computer scienceVisualizationData scienceRepresentation (politics)Data visualizationInformation retrievalData mining

MeSH Terms

Image ProcessingComputer-AssistedMagnetic Resonance ImagingMicroscopy

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Publication Info

Year
2010
Type
review
Volume
7
Issue
S3
Pages
S26-S41
Citations
265
Access
Closed

External Links

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Cite This

Thomas Walter, David W. Shattuck, Richard Baldock et al. (2010). Visualization of image data from cells to organisms. Nature Methods , 7 (S3) , S26-S41. https://doi.org/10.1038/nmeth.1431

Identifiers

DOI
10.1038/nmeth.1431
PMID
20195255
PMCID
PMC3650473

Data Quality

Data completeness: 86%