Cross-correlation analysis for live-cell image trajectory

Chih-Ming Cheng; Yu-Fen Chang; Chien-ming Wu

doi:10.1117/12.2034840

23 August 2013 Cross-correlation analysis for live-cell image trajectory

Chih-Ming Cheng, Yu-Fen Chang, Chien-ming Wu

Proceedings Volume 8911, International Symposium on Photoelectronic Detection and Imaging 2013: Micro/Nano Optical Imaging Technologies and Applications; 89110U (2013) https://doi.org/10.1117/12.2034840
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

In cell motility, researchers are usually used fluorescence microscopy, confocal microscopy, or total internal reflection microscopy to track a fluorescent labeled particle and reveal the dynamic trajectory in living. Because all fluorescent dyes have cell toxicity, quantum dots and gold nanoparticles can influence the structures and physical properties of biomolecules which they have labeled, to develop another label-free image approach becomes an important issue. We present here a Fourier-based cross-correlation process to analyze images of adhering living cell, including cell motility and single vesicle trajectory. We treated adhering MG-63 cell with 66 nM Epidermal growth factor (EGF) and observed its dynamic effect on cell motility based on the velocity fields of consecutive cell images. We also used crosscorrelation to track single vesicles in living cells. We found that EGF could rapidly activate the motility of adhering MG- 63 cell, and the vesicle exhibits either directed or diffusive motion.

Citation Download Citation

Chih-Ming Cheng, Yu-Fen Chang, and Chien-ming Wu "Cross-correlation analysis for live-cell image trajectory", Proc. SPIE 8911, International Symposium on Photoelectronic Detection and Imaging 2013: Micro/Nano Optical Imaging Technologies and Applications, 89110U (23 August 2013); https://doi.org/10.1117/12.2034840

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