Skip Navigation


Bioinformatics Advance Access originally published online on November 19, 2007
Bioinformatics 2008 24(2):234-242; doi:10.1093/bioinformatics/btm569
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrowOA All Versions of this Article:
24/2/234    most recent
btm569v2
btm569v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Google Scholar
Right arrow Articles by Peng, H.
Right arrow Articles by Myers, E. W.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Peng, H.
Right arrow Articles by Myers, E. W.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Straightening Caenorhabditis elegans images

Hanchuan Peng 1,*, Fuhui Long 1, Xiao Liu 2, Stuart K. Kim 2 and Eugene W. Myers 1

1Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147 and 2Department of Developmental Biology, Stanford University Medical Center, Stanford, CA 94305, USA

*To whom correspondence should be addressed.


   Abstract

Motivation: Caenorhabditis elegans, a roundworm found in soil, is a widely studied model organism with about 1000 cells in the adult. Producing high-resolution fluorescence images of C.elegans to reveal biological insights is becoming routine, motivating the development of advanced computational tools for analyzing the resulting image stacks. For example, worm bodies usually curve significantly in images. Thus one must ‘straighten’ the worms if they are to be compared under a canonical coordinate system.

Results: We develop a worm straightening algorithm (WSA) that restacks cutting planes orthogonal to a ‘backbone’ that models the anterior–posterior axis of the worm. We formulate the backbone as a parametric cubic spline defined by a series of control points. We develop two methods for automatically determining the locations of the control points. Our experimental methods show that our approaches effectively straighten both 2D and 3D worm images.

Contact: pengh{at}janelia.hhmi.org

Supplementary information: The example data sets and programs are available upon request.

Associate Editor: Jonathan Wren


Received on June 13, 2007; revised on October 11, 2007; accepted on November 6, 2007

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
BioinformaticsHome page
H. Peng, F. Long, and E. W. Myers
VANO: a volume-object image annotation system
Bioinformatics, March 1, 2009; 25(5): 695 - 697.
[Abstract] [Full Text] [PDF]


Home page
BioinformaticsHome page
H. Peng
Bioimage informatics: a new area of engineering biology
Bioinformatics, September 1, 2008; 24(17): 1827 - 1836.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.