Optimal live cell tracking for cell cycle study using time-lapse fluorescent microscopy images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6357 LNCS, Issue , 2010, Pages 124-131

  Li, Fuhai ^a   Zhou, Xiaobo ^a   Wong, Stephen T C ^a  

^a HOUSTON METHODIST RESEARCH INSTITUTE   (United States)

Author keywords

Cell cycle progression; Cell tracking; Drug screening; Interacting Multiple Model; Voronoi Tessellation

Indexed keywords

CELL TRACKING; CELL-CYCLE PROGRESSION; DRUG SCREENING; INTERACTING MULTIPLE MODEL; VORONOI TESSELLATIONS;

CELL CULTURE; CELL PROLIFERATION; DRUG INTERACTIONS; FLUORESCENCE; INTEGER PROGRAMMING; LEARNING SYSTEMS; MEDICAL IMAGING; TRACKING (POSITION);

BIOINFORMATICS;

EID: 77958045939     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15948-0_16     Document Type: Conference Paper

References (18)

1. Haggarty, S., Mayer, T., Miyamoto, D., Fathi, R., King, R., Mitchison, T., Schreiber, S.: Dissecting cellular processes using small molecules: identification of colchicine-like, taxol-like and other small molecules that perturb mitosis. Chemistry and Biology 7, 275-286 (2000)
2. Wang, M., Zhou, X., Li, F., Huckins, J., King, R.W., Wong, S.T.: Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy. Bioinformatics 24, 94-101 (2008)
3. Bunyak, F., Palaniappan, K., Nath, S.K., Baskin, I.T., Dong, G.: Quantitative cell motility for in vitro wound healing using level set-based active contour tracking. In: IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1040-1043 (2006)
4. Zimmer, C., Labruyère, E., Meas-Yedid, V., Guillén, N., Olivo-Marin, J.: Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours: a tool for cell-based drug testing. IEEE transactions on medical imaging 21, 1212-1221 (2002)
5. Li, K., Miller, E.D., Chen, M., Kanade, T., Weiss, L.E., Campbell, P.G.: Cell population tracking and lineage construction with spatiotemporal context. Med. Image Anal. 12, 546-566 (2008)
6. Genovesio, A., Liedl, T., Emiliani, V., Parak, W.J., Coppey-Moisan, M., Olivo-Marin, J.C.: Multiple particle tracking in 3-D+t microscopy: method and application to the tracking of endocytosed quantum dots. IEEE Trans. Image Process. 15, 1062-1070 (2006)
7. Debeir, O., Ham, P.V., Kiss, R., Decaestecker, C.: Tracking of migrating cells under phase-contrast video microscopy with combined mean-shift processes. IEEE transactions on medical imaging 24, 697-711 (2005)
8. Bai, W., Zhou, X., Ji, L., Cheng, J., Wong, S.T.: Automatic dendritic spine analysis in two-photon laser scanning microscopy images. Cytometry A 71, 818-826 (2007)
9. Yan, J., Zhou, X., Yang, Q., Liu, N., Cheng, Q., Wong, S.T.C.: An effective system for optical microscopy cell image segmentation, tracking and cell phase identification. In: IEEE International Conference on Image Processing, Atlanta Marriott Marquis, Atlanta, pp. 1917-1920 (2006)
10. Al-Kofahi, O., Radke, R.J., Goderie, S.K., Shen, Q., Temple, S., Roysam, B.: Automated cell lineage construction. Cell Cycle 5, 327-335 (2006)
11. Chen, X., Zhou, X., Wong, S.T.C.: Automated segmentation, classification, and tracking of cancer cell nuclei in time-lapse microscopy. IEEE Transactions on Biomedical Engineering 53, 762-766 (2006)
12. Jones, T., Carpener, A., Golland, P.: voronoi-based segmentation of cells on image manifolds. LNCS, pp. 535-543. Springer, Heidelberg (2005)
13. Blom, H.A.P.: An efficient filter for abruptly changing systems. In: Processings of 23rd IEEE Conference on Decision and Control, pp. 656-658 (1984)
14. Jiyun, B., Vu, N., Sumengen, B., Manjunath, B.S.: Quantitative analysis of immunofluorescent retinal images. In: IEEE International Symposium on Biomedical Imaging: Nano to Macro, Crystal Gateway Marriott, Arlington, Virginia (2006)
15. Li, F., Zhou, X., Zhu, J., Ma, J., Huang, X., Wong, S.T.: High content image analysis for human H4 neuroglioma cells exposed to CuO nanoparticles. BMC Biotechnol. 7, 66 (2007)
16. Lafferty, J., McCallum, A., Pereira, F.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: Proceedings of ICML San Francisco, CA (2001), pp. 282-289 (2001)
17. Bilgin, C.C., Bullough, P., Plopper, G.E., Yener, B.: ECM-aware cell-graph mining for bone tissue modeling and classification. Data Mining and Knowledge Discovery 20, 416-438 (2010)
18. MetaXpress, http://www.moleculardevices.com/pages/software/metaxpress. html