ABSTRACT
The endoplasmic reticulum (ER) is the compartment having the largest surface that creates a single-large lumen by interconnecting tubules and sheets. The ER network dynamics, which occurs in large time and space scale, could provide a variety of crucial information to understand not only the ER responses but also organization of the reactions; however, the quantitative measure of the ER network is difficult as conventional tracking methods are not applicable. The research presented herein investigated richer timelapse microscopy image datasets of the ER network. The ER was visualized in COS-7 cells by the transient expression of SGFP2-fused Lnplp, a membrane protein abundantly found in the junctions of the ER tubules. The two-dimensional motion detection of the time-lapse microscopy videos of the ER was carried out by converting all color-image frames into grayscale image sequences, and then a differential motion analysis method was applied for extracting motion magnitude from the image sequences.
