Erratum: 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 (+2 others)
2010 Nature Methods  
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
more » ... ion of the data. This review gives an overview of existing methods and tools for this purpose and highlights some of their limitations and challenges. By their very nature, microscopy and magnetic resonance imaging (MRI) (Fig. 1 and Boxes 1 and 2) are dependent on data visualization. Whereas in the past it was considered sufficient to show images (photographs or digitized images) in the printed version of an article to illustrate an experimental result, the presentation of image data has become more challenging for three reasons. First, new imaging techniques allow the generation of massive datasets that cannot be adequately presented on paper nor be browsed and looked at with older software tools. MRI, which is mostly used to acquire three-dimensional (3D) imagery, has faced some of these problems for many years. Second, the availability of highthroughput techniques enables experiments on a large scale, generating large sets of image
doi:10.1038/nmeth0610-479a fatcat:mimxo5gqnrf6zpu2uhfh7iinxm