2024-03-28T11:23:40Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/864212022-11-17T02:08:08Zhdl_2115_54838hdl_2115_35616hdl_2115_54822hdl_2115_54823hdl_2115_20124Concentration and Brightness Imaging for Fluorescent Molecules in Cells: Statistical Image Analysis by Empirical Bayes Method細胞内蛍光分子の濃度と輝度分布定量:経験ベイズ法による統計的画像解析福島, 綾介400Background: Fluorescence live cell imaging is useful for monitoring the localization and distribution of fluorescently labeled molecules in cells. However, monitoring the concentration and oligomeric state of these molecules is difficult. The concentration of molecules is strongly associated with the advancement of chemical reactions in cells, and these reactions regulate cellular functions. Furthermore, some proteins form oligomers during cell signaling, changing their oligomeric state.
Thus, quantifying the concentration and oligomeric state would yield valuable information about the regulations and functions of cells. In this study, we have developed statistical methods for quantifying the concentration and oligomeric state of fluorescently labeled molecules in cells.
Problem and Solutions: Number and Brightness (N&B) analysis statistically determines the number and brightness of particles, which reflect the concentration and oligomeric state, respectively. N&B analysis is used to analyze the temporal fluctuation of fluorescence images obtained using confocal laser scanning microscopy (CLSM). However, because of low excitation and a limited number of images, the statistical accuracy and precision of this analysis are limited in actual experiments with fluorescent proteins. In one of our methods, we applied maximum a posteriori (MAP) estimation, along with the empirical Bayes (EB) method (referred to as EB−MAP). In EB−MAP, we constructed a statistical model for effectively using spatial information. We assumed that the number of particles at a pixel and that at the surrounding pixels are similar. The assumption of the similarity would be realistic because of the diffraction limit and overlap of confocal volume during sampling.
Results: We conducted simulations and experiments and compared results to evaluate the accuracy and precision of EB−MAP. The results showed that the precision of EB−MAP was greater by an order of magnitude in terms of the number of particles and 1.5 times higher in terms of the brightness of particles than conventional N&B analysis.
Conclusion: We have developed methods for monitoring the concentration and oligomeric state of fluorescently labeled molecules in cells. We have demonstrated that the developed methods are feasible and achieve high accuracy and precision. Our methods have a wide range of applications in the field of fluorescence live cell imaging. Furthermore, these methods would contribute to the understanding of the dynamic processes in protein oligomerization in cells.v, 141p北海道大学. 博士(生命科学)Hokkaido UniversityThesis or Dissertationapplication/pdfhttp://hdl.handle.net/2115/86421info:doi/10.14943/doctoral.k14607https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/86421/1/Ryosuke_Fukushima.pdf2021-06-30engETD10101甲第14607号2021-06-30博士(生命科学)北海道大学