Quantitative and trajectory analysis of upconversion nanoparticles with 3D long-term imaging in live cell

Abstract

Upconversion nanoparticles (UCNPs) are unique optical probe that is adaptive to live cell imaging. UCNPs surface can be modified with various molecules. After mitosis of HeLa cells, internalized UCNPs population is divided as volumetric ratio. In this research, quantitative analysis of UCNPs under HeLa cells mitosis is performed rather to three surface conditions. UCNPs also can be used to analyze the motor protein dynamics in nerve cells. Trajectory of UCNPs in nerve cells are analyzed with speed distribution and mean square distribution for observe the phase transition in motor protein dynamics. As previous research about normal nerve cells, motor protein of Alzheimer induced state cells also can be analyzed. Moreover, the speed of UCNPS in Alzheimer induced state cells is slower than normal state and the superdiffusion coefficient is smaller. But still the phase transition of motor protein in Alzheimer induced cells is showed with mean square distribution fitting.