Paper
31 October 2016 Parameter estimation and analysis model selections in fluorescence correlation spectroscopy
Author Affiliations +
Abstract
Fluorescence correlation spectroscopy (FCS) is a powerful technique that could provide high temporal resolution and detection for the diffusions of biomolecules at extremely low concentrations. The accuracy of this approach primarily depends on experimental condition requirements and the data analysis model. In this study, we have set up a confocal-based FCS system. And then we used a Rhodamine6G solution to calibrate the system and get the related parameters. An experimental measurement was carried out on one-component solution to evaluate the relationship between a certain number of molecules and concentrations. The results showed FCS system we built was stable and valid. Finally, a two-component solution experiment was carried out to show the importance of analysis model selection. It is a promising method for single molecular diffusion study in living cells.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shiqing Dong, Jie Zhou, Xuemei Ding, Yuhua Wang, Shusen Xie, and Hongqin Yang "Parameter estimation and analysis model selections in fluorescence correlation spectroscopy", Proc. SPIE 10024, Optics in Health Care and Biomedical Optics VII, 1002433 (31 October 2016); https://doi.org/10.1117/12.2246027
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fluorescence correlation spectroscopy

Diffusion

Luminescence

Molecules

Data modeling

Particles

Chemical analysis

Back to Top