Optical flow of vesicles: computer vision approach for endocytosis of nanoparticles in a living cell

Seohyun Lee; Hyuno Kim; Hideo Higuchi; Masatoshi Ishikawa

doi:10.1117/12.2543455

21 February 2020 Optical flow of vesicles: computer vision approach for endocytosis of nanoparticles in a living cell

Seohyun Lee, Hyuno Kim, Hideo Higuchi, Masatoshi Ishikawa

Proceedings Volume 11254, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XVII; 112541J (2020) https://doi.org/10.1117/12.2543455
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

The movement of vesicle in a living cell includes essential information for understanding the details of the intracellular transport. Although the vesicle tracking method has allowed us to understand precise movement of a single nanoparticle from the physical point of view, the whole cell-level transport has still not been clearly explained with the analysis of only a few representative vesicle movements. In this study, as an initial attempt to gain insight into cell-level vesicle transport, we adopted a computer vision technique to analyze the overall intracellular vesicle transport. In detail, we propose an algorithm to estimate and visualize the ow of the entire endocytic vesicles in terms of convergence and divergence with respect to the geometric cell center. In this algorithm, optical ow of the fluorescent nanoparticles in a living cell is computed using Lucas-Kanade method. Then, the direction of vesicle movement regarding the geometric center of the cell is calculated and mapped to visualize either converging or diverging movement, based on four-quadrant inverse tangent. With this suggested method, it is expected that we can gain insight into cell-level vesicle transport, which can help design and quantitatively evaluate various biomedical applications, including drug delivery.

Citation Download Citation

Seohyun Lee, Hyuno Kim, Hideo Higuchi, and Masatoshi Ishikawa "Optical flow of vesicles: computer vision approach for endocytosis of nanoparticles in a living cell", Proc. SPIE 11254, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XVII, 112541J (21 February 2020); https://doi.org/10.1117/12.2543455

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