| Multiple nuclei tracking using integer programming for quantitative cancer cell cycle analysis. | |
| | |
MedLine Citation:
|
PMID: 19643704 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
Automated cell segmentation and tracking are critical for quantitative analysis of cell cycle behavior using time-lapse fluorescence microscopy. However, the complex, dynamic cell cycle behavior poses new challenges to the existing image segmentation and tracking methods. This paper presents a fully automated tracking method for quantitative cell cycle analysis. In the proposed tracking method, we introduce a neighboring graph to characterize the spatial distribution of neighboring nuclei, and a novel dissimilarity measure is designed based on the spatial distribution, nuclei morphological appearance, migration, and intensity information. Then, we employ the integer programming and division matching strategy, together with the novel dissimilarity measure, to track cell nuclei. We applied this new tracking method for the tracking of HeLa cancer cells over several cell cycles, and the validation results showed that the high accuracy for segmentation and tracking at 99.5% and 90.0%, respectively. The tracking method has been implemented in the cell-cycle analysis software package, DCELLIQ, which is freely available. |
| | |
Authors:
|
Fuhai Li; Xiaobo Zhou; Jinwen Ma; Stephen T C Wong |
Related Documents
:
|
12429824 - Stage-specific requirement of a mitogen-activated protein kinase by trypanosoma brucei. 10213344 - Cell cycle regulatory molecules (cyclins, cyclin-dependent kinases and cyclin-dependent... 8541514 - Control and activity of type-1 serine/threonine protein phosphatase during the cell cycle. 21510844 - Hepatocytic differentiation of rhesus monkey embryonic stem cells promoted by collagen ... 9683194 - Aneuploidogenic and clastogenic potential of the mycotoxins citrinin and patulin. 8869594 - Stimulation of creatine kinase specific activity in human osteoblast and endometrial ce... |
Publication Detail:
|
Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't Date: 2009-07-28 |
Journal Detail:
|
Title: IEEE transactions on medical imaging Volume: 29 ISSN: 1558-0062 ISO Abbreviation: IEEE Trans Med Imaging Publication Date: 2010 Jan |
Date Detail:
|
Created Date: 2010-01-06 Completed Date: 2010-03-22 Revised Date: 2011-06-13 |
Medline Journal Info:
|
Nlm Unique ID: 8310780 Medline TA: IEEE Trans Med Imaging Country: United States |
Other Details:
|
Languages: eng Pagination: 96-105 Citation Subset: IM |
Affiliation:
|
Department of Information Science, School of Mathematical Sciences, and LMAM, Peking University, Beijing 100871, China. robert.fh.li@gmail.com |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Cell Cycle
/
physiology* Cell Movement / physiology Cell Nucleus / metabolism, ultrastructure Hela Cells Humans Image Processing, Computer-Assisted / methods* Microscopy, Fluorescence / methods* Neoplasms / metabolism, pathology* Reproducibility of Results Software |
| Grant Support | |
ID/Acronym/Agency:
|
R01 LM008696/LM/NLM NIH HHS; R01 LM008696-04/LM/NLM NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: In Vivo Feasibility of Real-Time Monitoring of Focused Ultrasound Surgery (FUS) Using Harmonic Motio...
Next Document: Complex-valued multistate associative memory with nonlinear multilevel functions for gray-level imag...