TPEF Cardiomyocyte Image 3-D Cutting and Volume Measuring Based on ImageJ

Abstract:

ImageJ is an open source image processing and analysis platform developed with Java. It can be applied to the analysis of clinical and scientific image effectively. A group of adult SD rat cardiac myocytes image using two-photon excitation fluorescence (TPEF) polarization imaging system is processed with ImageJ: 1)To achieve a panoramic display of the cardiomyocytes, we adopt 3D Viewer plugin to construct the 3D model; 2)Then, cutting the myocardial cell in any directions allows ones to observe the cell’s internal structure; 3) With the following image processing, contrast enhancement, noise reduction, threshold segmentation, clear boundary of the object is presented; 4) Region of interest (ROI) of each slice is then calculated. The entire volume of the myocardial cell is accumulation of the product of area and scan step. The physical volume of the myocardial cell can be calculated with the relationship of physical unit and image pixel, such as pixels-per-inch (ppi).

• Periodical: Advanced Engineering Forum (Volumes 6-7)
• Pages: 327-332
• DOI: https://doi.org/10.4028/www.scientific.net/AEF.6-7.327
• Online since: September 2012
• Authors: Meng Jie Li, Shui Fa Sun, Fang Min Dong, Hong Hai Liu, Yong Hong Shao, Bruce Z. Gao
• Keywords: 3D Cutting, 3D Reconstruction, Cardiomyocytes, Image Processing, ImageJ, Volume-Measuring

References

[1] Michael Double, Michal M Klosowski, Ignacio Arganda-Carreras, Fabrice P Cordelieres, Robert P Dougherty, Jonathan S Jackson, Benjamin Schmid, John R Hutchinson, and Sandra J Shefelbine. Bone J: Free and extensible bone image analysis in ImageJ. Bone, 47(6): 1076-9, Dce (2010).

DOI: 10.1016/j.bone.2010.08.023

[2] Dixon Ian MC, Ju H, Reid NL, et al. Cardiac collagen remodeling in the cardiomyopathic Syrian hamster and the effect of Losarton. J Mol Cell Cardiol, 1997, 29: 1837-1850.

DOI: 10.1006/jmcc.1997.0420

[3] Sun Y. Local angiotension II and myocardial fibrosis. Adv Exp Med Biol, 1997, 432: 5561.

[4] Yonghong Shao, Honghai Liu, Tong Ye. 3D Myofibril Imaging in Live Cardiomyocytes via Hybrid SHG-TPEF Microscopy. SPIE Digital Library, 2011, 1-6.

DOI: 10.1117/12.875607

[5] Li TB, Liu XH, Feng S et al. Characterization of MR-1, a novel myofibrillogenesis regulator in human muscle. Acta Biochimica et Biophysica Sinica 2004; 36(6): 412-418.

DOI: 10.1093/abbs/36.6.412

[6] Vivian S, Michael T, Neil M, et al. Hepatic MR imaging with a dynamic contrast-enhanced isotropic volumetric interpolated breath-hold examination: feasibility, reproducibility, and technical quality. Radiologic, 2000, 215(1): 365-372.

DOI: 10.1148/radiology.215.2.r00ma16365

[7] M. Oheim, D. J. Michael, M. Geisbauer, et al. Principles of two-photon excitation fluorescence microscopy and other nonlinear imaging approaches. Advanced Drug Delivery Reviews, 2006, 58: 788-808.

DOI: 10.1016/j.addr.2006.07.005

[8] G.E. Stutzmann, I. Parker. Dynamic multiphoton imaging: a live view from cells to systems. Methods, 2003, 30: 3-15.

[9] A. Diaspro,M. Robello. Two-photon excitation of fluorescene for three-dimensional optical imaging of biologic structures. Journal of Photochemistry and Photobiology B: Biology, 2000, 55(1): 1-8.

DOI: 10.1016/s1011-1344(00)00028-2

[10] Sheng Zhong, Xiaoyu Jiang, Zhen wei. Pseudo-color Coding with Phase-modulated Image Density. Proceedings of International Conferenceon Micro/ Nano Optical Engineering(ICOME), 2011, 130-131.

[11] R.C. Gonzalez and R.E. Woods, Digital Image Processing, Prentice-Hall, (2002).