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.
Description
Visualization of image data from cells to organi... [Nat Methods. 2010] - PubMed - NCBI
%0 Journal Article
%1 Walter:2010:Nat-Methods:20195255
%A Walter, T
%A Shattuck, D W
%A Baldock, R
%A Bastin, M E
%A Carpenter, A E
%A Duce, S
%A Ellenberg, J
%A Fraser, A
%A Hamilton, N
%A Pieper, S
%A Ragan, M A
%A Schneider, J E
%A Tomancak, P
%A Hériché, J K
%D 2010
%J Nat Methods
%K biology data_analysis image_processing microscopy software survey to_READ visualization
%N 3 Suppl
%P 26-41
%R 10.1038/nmeth.1431
%T Visualization of image data from cells to organisms
%U http://www.ncbi.nlm.nih.gov/pubmed/20195255
%V 7
%X 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.
@article{Walter:2010:Nat-Methods:20195255,
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.},
added-at = {2013-07-01T12:07:55.000+0200},
author = {Walter, T and Shattuck, D W and Baldock, R and Bastin, M E and Carpenter, A E and Duce, S and Ellenberg, J and Fraser, A and Hamilton, N and Pieper, S and Ragan, M A and Schneider, J E and Tomancak, P and H{\'e}rich{\'e}, J K},
biburl = {https://www.bibsonomy.org/bibtex/220e0cb8fffd291a0071d26b7cd6f109d/alex_ruff},
description = {Visualization of image data from cells to organi... [Nat Methods. 2010] - PubMed - NCBI},
doi = {10.1038/nmeth.1431},
interhash = {f4c4234ed11281175239093d6098e7f0},
intrahash = {20e0cb8fffd291a0071d26b7cd6f109d},
journal = {Nat Methods},
keywords = {biology data_analysis image_processing microscopy software survey to_READ visualization},
month = mar,
number = {3 Suppl},
pages = {26-41},
pmid = {20195255},
timestamp = {2013-07-01T12:07:55.000+0200},
title = {Visualization of image data from cells to organisms},
url = {http://www.ncbi.nlm.nih.gov/pubmed/20195255},
volume = 7,
year = 2010
}