Abstract
Wound healing problem requires the analysis of tens of images from different microscopic systems. We describe a set of semi-automatic algorithms to analyze a variety of microscopy images used to study the wound healing process. The proposed suite, beside the phase contrast images, allows analyzing fluorescent microscopy images, inverted light microscopy images at different magnification and staining methods, or images obtained by scanning electron microscopy. The proposed software is designed in Matlab®. It is suggested to integrate it into the CellProfilerTM software, thus introducing new functionalities without losing the CellProfiler existing capabilities. The approach is efficient, easy-to-use, and enables biologists to comprehensively and quantitatively address many questions of the wound healing problem.
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References
Abramoff, M.D., Magalhaes, P.J., Ram, S.J.: Image processing with Image. J. Biophotonics Int. 11, 36–42 (2004)
Carpenter, A.E., Jones, T.R., Lamprecht, M.R., Clarke, C., Kang, I.H., Friman, O., Guertin, D.A., Chang, J.H., Lindquist, R.A., Moffat, J., Golland, P., Sabatini, D.M.: CellProfiler: image analysis software for identifying and quantifying cell phenotypes. Genome Biol. 7(R100), 1–11 (2006)
Franchi, D., Gallo, P., Marsili, L., Placidi, G.: A shape-based segmentation algorithm for X-ray digital subtraction angiography images. Comput. Methods Programs Biomed. 94, 267–278 (2009)
Jones, T.R., Kang, I.H., Wheeler, D.B., Lindquist, R.A., Papallo, A., Sabatini, D.M., Golland, P., Carpenter, A.E.: CellProfiler Analyst: data exploration and analysis software for complex image-based screens. BMC BioInf. 9, 482–497 (2008)
Lamprecht, M.R., Sabatini, D.M., Carpenter, A.E.: CellProfiler: free versatile software for automated biological image analysis. Biotechniques 42, 71–75 (2007)
Maurizi, A., Franchi, D., Placidi, G.: An optimized Java based software package for biomedical images and volumes processing. In: Proc. of the IEEE Med. Meas. & Appl., MeMeA 2009, vol. 1, pp. 219–222 (2009)
Murphy, R.F., Meijering, E., Danuser, G.: Special issue on molecular and cellular bioimaging. IEEE Trans. Image Process. 14, 1233–1236 (2005)
Selinummi, J., Seppala, J., Yli-Harja, O., Puhakka, J.A.: Software for quantification of labeled bacteria from digital microscope images by automated image analysis. BioTechniques 39, 859–863 (2005)
Singer, A.J., Clark, R.A.F.: Cutaneous Wound Healing. The New Engl. J. Med. 341, 738–746 (1999)
Skopin, M.D., Molitor, S.C.: Effects of near-infrared laser exposure in a cellular model of wound healing. Photoderm. Photoimm. & Photomed. 25, 75–80 (2009)
Yu, A.C., Lee, Y.L., Eng, L.F.: Astrogliosis in culture: I. The model and the effect of antisense oligonucleotides on glial fibrillary acidic protein synthesis. J. Neurosci. Res. 34, 295–303 (1993)
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Placidi, G. et al. (2010). Numerical Methods for the Semi-automatic Analysis of Multimodal Wound Healing Images. In: Barneva, R.P., Brimkov, V.E., Hauptman, H.A., Natal Jorge, R.M., Tavares, J.M.R.S. (eds) Computational Modeling of Objects Represented in Images. CompIMAGE 2010. Lecture Notes in Computer Science, vol 6026. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12712-0_14
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DOI: https://doi.org/10.1007/978-3-642-12712-0_14
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