Scratch Assay Analysis with Topology-Preserving Level Sets and Texture Measures

1. Brox, T., Rousson, M., Deriche, R., Weickert, J.: Colour, texture, and motion in level set based segmentation and tracking. Image Vision Comput. 28, 376–390 (2010)

   Article  Google Scholar 

2. Candès, E., Donoho, D.: Curvelets - a surprisingly effective nonadaptive representation for objects with edges. In: Cohen, A., Rabut, C., Schumaker, L. (eds.) Curves and Surface Fitting, pp. 105–120. Vanderbilt University Press, Nashville (2000)

   Google Scholar 

3. Chan, T.F., Vese, L.A.: Active contours without edges. IEEE Transactions on Image Processing 10(2), 266–277 (2001)

   Article  MATH  Google Scholar 

4. Chethan, H.K., Raghavendra, R., Kumar, G.H.: Texture based approach for cloud classification using SVM. In: Proc. of Int. Conf. on Advances in Recent Technologies in Comm. and Comp., pp. 688–690 (2009)

   Google Scholar 

5. Cremers, D., Rousson, M., Deriche, R.: A review of statistical approaches to level set segmentation: Integrating color, texture, motion and shape. IJCV 72(2), 195–215 (2007)

   Article  Google Scholar 

6. Debeir, O., Adanja, I., Kiss, R., Decaestecker, C.: Models of cancer cell migration and cellular imaging and analysis. In: Lambrechts, A., Ampe, C. (eds.) The Motile Actin System in Health and Disease, pp. 123–156. Transworld Research Network (2008)

   Google Scholar 

7. Gebäck, T., Schulz, M.M., Koumoutsakos, P., Detmar, M.: TScratch: a novel and simple software tool for automated analysis of monolayer wound healing assays. Biotechniques 46(4), 256–274 (2009)

   Google Scholar 

8. Han, X., Xu, C.Y., Prince, J.L.: Topology preserving level set method for geometric deformable models. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(6), 755–768 (2003)

   Article  Google Scholar 

9. Karoui, I., Fablet, R., Boucher, J.-M., Augustin, J.-M.: Region-based image segmentation using texture statistics and level-set methods. In: Proc. of IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, pp. II817–II820 (May 2006)

   Google Scholar 

10. Liang, C.C., Park, A.Y., Guan, J.L.: In vitro scratch assay: a convenient and inexpensive method for analysis of cell migration in vitro. Nat. Protoc. 2(2), 329–333 (2007)

    Article  Google Scholar 

11. Menon, M.B., Ronkina, N., Schwermann, J., Kotlyarov, A., Gaestel, M.: Fluorescence-based quantitative scratch wound healing assay demonstrating the role of mapkapk-2/3 in fibroblast migration. Cell Motility and the Cytoskeleton 66(12), 1041–1047 (2009)

    Article  Google Scholar 

12. Ojala, T., Pietikäinen, M., Harwood, D.: A comparative study of texture measures with classification based on featured distributions. Pattern Recognition 29(1), 51–59 (1996)

    Article  Google Scholar 

13. Osher, S., Sethian, J.A.: Fronts propagating with curvature-dependent speed: algorithms based on hamilton-jacobi formulations. Journal of Comp. Physics 79(1), 12–49 (1988)

    Article  MathSciNet  MATH  Google Scholar 

14. Permuter, H., Francos, J., Jermyn, I.: A study of Gaussian mixture models of color and texture features for image classification and segmentation. Pattern Recog. 39, 695–706 (2006)

    Article  MATH  Google Scholar 

15. Sandberg, B., Chan, T., Vese, L.: A level-set and Gabor-based active contour algorithm for segmenting textured images. Technical Report 39, Math. Dept. UCLA, USA (2002)

    Google Scholar 

16. Song, B., Chan, T.F.: A fast algorithm for level set based optimization. CAM-UCLA 68, 02–68 (2002)

    Google Scholar 

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