Automatic image analysis of zebrafish embryo development for lab-on-a-chip

2012 19th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2012

Volumn , Issue , 2012, Pages 194-199

  Wang, Kevin I Kai ^a   Bonnetat, Antoine ^a   Andrews, Mark ^a   Salcic, Zoran ^a   Akagi, Jin ^a   Wlodkowic, Donald ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

fish embryo toxicity assay; image analysis; Lab on a Chip; zebrafish

Indexed keywords

AUTOMATED IMAGE ANALYSIS; AUTOMATIC IMAGE ANALYSIS; DEVELOPMENT PROCESS; EMBRYO DEVELOPMENT; IMAGE ANALYSIS ALGORITHMS; OFF-LINE MONITORING; TOXICITY ASSAYS; ZEBRAFISH;

ALGORITHMS; EXPERIMENTS; IMAGE ANALYSIS; LAB-ON-A-CHIP; TOXICITY; TURNAROUND TIME;

COMPUTER VISION;

EID: 84876041945     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. K.I.K. Wang, Z. Salcic, J. Yeh, J. Akagi, and D. Wlodkowic, "Automated Bio Cybernetic System-A Lab-on-Chip Case Study," in Proc. of the 7th IEEE International Symposium on Industrial Embedded Systems, Karlsruhe, Germany, 2012.
2. J. Akagi, K. Khoshmanesh, B. Evans, C.J. Hall, K.E. Crosier, J.M. Cooper, P.S. Crosier, D. Wlodkowic, "Miniaturized embryo array for automated trapping, immobilization and microperfusion of zebrafish embryos," PLoS One. 2012; 7(5):e36630.
3. T.P. Barros et al, "Zebrafish: an emerging technology for in vivo pharmacological assessment to identify potential safety liabilities in early drug discovery," British Journal of Pharmacology, 154: 1400-1413.
4. L. I. Zon and R. T. Peterson, "In vivo drug discovery in the zebrafish," Nat Rev Drug Discov, vol. 4, pp. 35-44, 2005.
5. S. Chena, Y. Zhua, W. Xiab, S. Xiaa, X. Xu, Automated analysis of zebrafish images for phenotypic changes in drug discovery. J. Neurosci. Methods, 200 (2), pp. 229-236, 2011.
6. J.S. Blackburn, S. Liu, A.R. Raimondi, M.S. Ignatius, C.D. Salthouse, D.M. Langenau, High-throughput imaging of adult fluorescent zebrafish with an LED fluorescence macroscope. Nat Protoc, 6 (2), pp. 229-241, 2011.
7. G. Molina, A. Vogt, A. Bakan, W. Dai, d.O.P. Queiroz, W. Znosko et al, Zebrafish chemical screening reveals an inhibitor of dusp6 that expands cardiac cell lineages. Nat Chem Biol, 5 (9), pp. 680-687, 2009.
8. T. Liu, J. Lu, Y. Wang, W. Campbell, L. Huang, J. Zhu et al, Computerized image analysis for quantitative neuronal phenotyping in zebrafish. J Neurosci Methods, 153 (2), pp. 190-202, 2006.
9. T. Liu et al, An automated method for cell detection in zebrafish. Neuroinformatics, 6 (1), pp. 5-21, 2008.
10. T. Liu, J. Nie, G. Li, L. Guo, S.Wong, ZFIQ: a software package for zebrafish biology. Bioinformatics,24 (3), pp. 438-439, 2008.
11. X. Xu, X. Xu, X. Huang, W. Xia, S. Xia, A high-throughput analysis method to detect regions of interest and quantify zebrash embryo images. J Biomol Screen, 15 (9), pp. 1152-1159, 2010.
12. A. Vogt, A. Cholewinski, X. Shen, S.G. Nelson, J.S. Lazo, M. Tsang, and N.A. Hukriede, Automated image-based phenotypic analysis in zebrafish embryos. Article in Developmental Dynamics, 238(3), pp. 656-663, 2009.
13. C. Kimmel, W. Ballard, S. Kimmel, B. Ullmann, T. Schilling, Stages of embryonic development of the zebrafish. Dev Dyn, 203, pp. 253-310, 1995.
14. N. Otsu, A Threshold Selection Method from Gray-Level Histograms IEEE Transactions on Systems, Man, and Cybernetics, Vol. 9, No. 1, pp. 62-66, 1979.
15. R. C. Gonzalez, R. E. Woods, S. L. Eddins, Digital Image Processing Using MATLAB. New Jersey, Pearson Prentice Hall, 2004.