Visualization of image data from cells to organisms
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 t...
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Veröffentlicht in: | Nature methods 2010-03, Vol.7 (Suppl 3), p.S26-S41 |
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creator | 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 |
description | 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. |
doi_str_mv | 10.1038/nmeth.1431 |
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subjects | 631/114 631/1647/245 Analysis Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology Cellular biology Embryonic development Genetics Image Processing, Computer-Assisted Imaging systems Life Sciences Magnetic Resonance Imaging Microscopy - methods Proteins Proteomics Research methodology review-article Scientific imaging Scientists |
title | Visualization of image data from cells to organisms |
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