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A Deep Learning Framework for Tracking Motile Bacteria Leveraging Semi-Synthetic Image Augmentation and Quantitative Analysis of Run-and-Tumble Dynamics File

Son, Joowang

Thesis Issue Date2026-02 View13
Motile bacteria crossing liquid-liquid interfaces of an aqueous isotropic-nematic coexistence phase File

Cheon, Jiyong , Son, Joowang , Lim, Sungbin , Jeong, Yundon , Park, Jung-Hoon , Mitchell, Robert J. , Kim, Jaeup U. , Jeong, Joonwoo

Article Issue Date2024-09 View209
Tracking and modeling of living particles using deep learning and active Brownian dynamics

Son, Joowang , Kim, Jaeup U.

Conference Paper Issue Date2021-10-20 View53
Tracking bacillus subtilis in 2D and analyzing its run-and-tumble motions

Son, Joowang , Kim, Jaeup U.

Conference Paper Issue Date2024-07-22 View69
Tracking bacillus subtilis in 2D and inference of its run-and-tumble motility parameters

Son, Joowang , Kim, Jaeup U.

Conference Paper Issue Date2023-08-08 View111
Tracking bacillus subtilis in 2D and study of its heterogeneous motility with run-and-tumble model

Son, Joowang , Kim, Jaeup U.

Conference Paper Issue Date2023-03-09 View98
Tracking Motile Bacteria in Moderately Crowded Environments Utilizing Instance Segmentation Aided by Semi-Synthetic Image Augmentation

Son, Joowang , Kim, Jaeup U.

Conference Paper Issue Date2025-11-28 View8
Tracking of live particles and comparison with active Brownian particle models

Son, Joowang , Kim, Jaeup U.

Conference Paper Issue Date2021-08-27 View32
Tracking of motile bacteria with instance segmentation aided by semi-synthetic image augmentation and quantitative analysis of run-and-tumble motion File

Son, Joowang , Kim, Jungmyung , Jeong, Joonwoo , Kim, Jaeup U.

Article Issue Date2025-11 View24
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