Hundreds of label-free cells tracking method based on multi-scale region of interest

Sena Lee; Junghun Han; Hyunyoung Kang; Seungyeop Choi; Sang Woo Lee; Sejung Yang

doi:10.1117/12.2649574

15 March 2023 Hundreds of label-free cells tracking method based on multi-scale region of interest

Sena Lee, Junghun Han, Hyunyoung Kang, Seungyeop Choi, Sang Woo Lee, Sejung Yang

Proceedings Volume 12383, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXI; 123830J (2023) https://doi.org/10.1117/12.2649574
Event: SPIE BiOS, 2023, San Francisco, California, United States

Conference Poster

Abstract

Dielectrophoresis is a technology that uses the electrical properties of cells to control the movement of cells in a non-contact manner. It is important to observe cell movement in order to analyze cell characteristics using DEP technology. We developed an algorithm that can track the movement of hundreds of unlabeled cells by DEP force. The proposed algorithm consists of a cell detection step using a deep learning detection model and a cell tracking step based on a multiscale region of interest. Cell detection and tracking accuracy using Recall, precision, f-measure, and MOTA on a timelapse microscope image dataset has an accuracy of about 97% or more. In conclusion, by developing an automated tool that can perform imaging-based DEP cell analysis, cell tracking algorithms that can track hundreds of cells simultaneously can reduce cell analysis time and labor.

Citation Download Citation

Sena Lee, Junghun Han, Hyunyoung Kang, Seungyeop Choi, Sang Woo Lee, and Sejung Yang "Hundreds of label-free cells tracking method based on multi-scale region of interest", Proc. SPIE 12383, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXI, 123830J (15 March 2023); https://doi.org/10.1117/12.2649574

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