Detecting and tracking motion of Myxococcus xanthus bacteria in swarms

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

Volumn 7510 LNCS, Issue , 2012, Pages 373-380

  Liu, Xiaomin ^a   Harvey, Cameron W ^b   Wang, Haitao ^a   Alber, Mark S ^b   Chen, Danny Z ^a  

^a University of Notre Dame   (United States)

^b UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; CYTOLOGY; IMAGE ENHANCEMENT; MEDICAL IMAGING; MOTION ANALYSIS;

BACTERIAL CELLS; CELL CLUSTERING; CELL DETECTION; CELL FEATURES; CELL MOTILITY; COLLECTIVE BEHAVIOUR; LOW CONTRAST; MICROSCOPY IMAGES; MYXOCOCCUS XANTHUS; TRACKING MOTION;

BACTERIA;

AGAR; CLUSTERIN;

ALGORITHM; ARTICLE; CHEMISTRY; COMPUTER PROGRAM; LABORATORY DIAGNOSIS; METHODOLOGY; MICROSCOPY; MOTION; MYXOCOCCUS XANTHUS; PHYSIOLOGY; REPRODUCIBILITY; SIGNAL PROCESSING; STATISTICAL MODEL;

AGAR; ALGORITHMS; CLUSTERIN; FALSE POSITIVE REACTIONS; MICROSCOPY; MODELS, STATISTICAL; MOTION; MYXOCOCCUS XANTHUS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

MLCS; MLOWN;

EID: 84872554251     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33415-3_46     Document Type: Conference Paper

References (13)

1. Dworkin, M.: Recent advances in the social and developmental biology of the myxobacteria. Microbiological Reviews 60, 70–102 (1996)
2. Li, K., Miller, E.D., Chen, M., Kanade, T., Weiss, L.E., Campbell, P.G.: Cell population tracking and lineage construction with spatiotemporal context. Medical Image Analysis 12, 546–566 (2008)
3. Munkres, J.: Algorithms for the assignment and transportation problems. Journal of the Society for Industrial and Applied Mathematics 5, 32–38 (1957)
4. Gor, V., Elowitz, M., Bacarian, T., Mjolsness, E.: Tracking cell signals in fluorescent images. In: Proc. of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, p. 142 (2005)
5. Liu, M., Roy-Chowdhury, A.K., Reddy, G.V.: Robust estimation of stem cell lineages using local graph matching. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 194–201 (2009)
6. Li, C., Xu, C., Gui, C., Fox, M.D.: Distance regularized level set evolution and its application to image segmentation. IEEE Trans. Image Processing 19, 3243–3254 (2010)
7. Lindeberg, T.: Scale-space theory in computer vision. Kluwer Academic Publishers (1994)
8. Vincent, L., Soille, P.: Watersheds in digital spaces: An efficient algorithm based on immersion simulations. IEEE Transactions on Pattern Analysis and Machine Intelligence 13, 583–598 (1991)
9. Liu, X., Setiadi, A.F., Alber, M.S., Lee, P.P., Chen, D.Z.: Identification and classification of cells in multi-spectral microscopy images of lymph node. In: Proceedings of SPIE Medical Imaging: Image Processing, vol. 7962, p. 79620J (2011)
10. Lam, L., Lee, S.W., Suen, C.Y.: Thinning methodologies – A comprehensive survey. IEEE Trans. on Pattern Analysis and Machine Intelligence 14, 869–885 (1992)
11. Malucelli, F., Ottmann, T., Pretolani, D.: Efficient labelling algorithms for the maximum non crossing matching problem. Discrete Applied Mathematics 47, 1–4 (1993)
12. Harvey, C., Morcos, F., Sweet, C.R., Kaiser, K., Chatterjee, S., Liu, X., Chen, D.Z., Alber, M.: Study of elastic collisions of myxococcus xanthus in swarms. Physical Biology 8, 026016 (2011)
13. Welch, R., Kaiser, D.: Cell behavior in traveling wave patterns of myxobacteria. Proc. Natl. Acad. Sci. USA 98, 14907–14912 (2001)