<p>In a wide range of biological studies, it is highly desirable to visualize and analyze three-dimensional (3D) microscopic images. In this primer, we first introduce several major methods for visualizing typical 3D images and related multi-scale, multi-time-point, multi-color data sets. Then, we discuss three key categories of image analysis tasks, namely segmentation, registration, and annotation. We demonstrate how to pipeline these visualization and analysis modules using examples of profiling the single-cell gene-expression of <italic>C. elegans</italic> and constructing a map of stereotyped neurite tracts in a fruit fly brain.</p>
Description
PLOS Computational Biology: Visualization and Analysis of 3D Microscopic Images
%0 Journal Article
%1 10.1371/journal.pcbi.1002519
%A Long, Fuhui
%A Zhou, Jianlong
%A Peng, Hanchuan
%D 2012
%I Public Library of Science
%J PLoS Comput Biol
%K biology data_analysis microscopy segmentation software visualization
%N 6
%P e1002519
%R 10.1371/journal.pcbi.1002519
%T Visualization and Analysis of 3D Microscopic Images
%U http://dx.doi.org/10.1371%2Fjournal.pcbi.1002519
%V 8
%X <p>In a wide range of biological studies, it is highly desirable to visualize and analyze three-dimensional (3D) microscopic images. In this primer, we first introduce several major methods for visualizing typical 3D images and related multi-scale, multi-time-point, multi-color data sets. Then, we discuss three key categories of image analysis tasks, namely segmentation, registration, and annotation. We demonstrate how to pipeline these visualization and analysis modules using examples of profiling the single-cell gene-expression of <italic>C. elegans</italic> and constructing a map of stereotyped neurite tracts in a fruit fly brain.</p>
@article{10.1371/journal.pcbi.1002519,
abstract = {<p>In a wide range of biological studies, it is highly desirable to visualize and analyze three-dimensional (3D) microscopic images. In this primer, we first introduce several major methods for visualizing typical 3D images and related multi-scale, multi-time-point, multi-color data sets. Then, we discuss three key categories of image analysis tasks, namely segmentation, registration, and annotation. We demonstrate how to pipeline these visualization and analysis modules using examples of profiling the single-cell gene-expression of <italic>C. elegans</italic> and constructing a map of stereotyped neurite tracts in a fruit fly brain.</p>},
added-at = {2013-03-25T14:16:10.000+0100},
author = {Long, Fuhui and Zhou, Jianlong and Peng, Hanchuan},
biburl = {https://www.bibsonomy.org/bibtex/278f8d6cb52f3a37bd6b1d7ecfde00ab5/alex_ruff},
description = {PLOS Computational Biology: Visualization and Analysis of 3D Microscopic Images},
doi = {10.1371/journal.pcbi.1002519},
interhash = {1d1d169288b490d7a63392f0dcb5dfde},
intrahash = {78f8d6cb52f3a37bd6b1d7ecfde00ab5},
journal = {PLoS Comput Biol},
keywords = {biology data_analysis microscopy segmentation software visualization},
month = {06},
number = 6,
pages = {e1002519},
publisher = {Public Library of Science},
timestamp = {2013-03-25T14:16:10.000+0100},
title = {Visualization and Analysis of 3D Microscopic Images},
url = {http://dx.doi.org/10.1371%2Fjournal.pcbi.1002519},
volume = 8,
year = 2012
}