Forty years of multiple hypothesis tracking-a review of key developments

CY Chong, S Mori, DB Reid - 2018 21st International …, 2018 - ieeexplore.ieee.org
Multiple hypothesis tracking addresses difficult multiple target tracking problems by making
association decisions using multiple scans or frames of data. This paper reviews forty years …

Single-molecule imaging and tracking of molecular dynamics in living cells

N Li, R Zhao, Y Sun, Z Ye, K He… - National Science …, 2017 - academic.oup.com
Unlike the ensemble-averaging measurements, the single-molecule imaging and tracking
(SMIT) in living cells provides the real-time quantitative information about the locations …

Needles in a haystack: Tracking city-scale moving vehicles from continuously moving satellite

W Ao, Y Fu, X Hou, F Xu - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
In recent years, the satellite videos have been captured by moving satellite platforms. In
contrast to consumers, movies, and common surveillance videos, satellite videos can record …

A role of OCRL in clathrin-coated pit dynamics and uncoating revealed by studies of Lowe syndrome cells

R Nández, DM Balkin, M Messa, L Liang, S Paradise… - elife, 2014 - elifesciences.org
Mutations in the inositol 5-phosphatase OCRL cause Lowe syndrome and Dent's disease.
Although OCRL, a direct clathrin interactor, is recruited to late-stage clathrin-coated pits …

[HTML][HTML] u-track3D: Measuring, navigating, and validating dense particle trajectories in three dimensions

P Roudot, WR Legant, Q Zou, KM Dean, T Isogai… - Cell Reports …, 2023 - cell.com
We describe u-track3D, a software package that extends the versatile u-track framework
established in 2D to address the specific challenges of 3D particle tracking. First, we present …

A recurrent neural network for particle tracking in microscopy images using future information, track hypotheses, and multiple detections

R Spilger, A Imle, JY Lee, B Mueller… - … on Image Processing, 2020 - ieeexplore.ieee.org
Automatic tracking of particles in time-lapse fluorescence microscopy images is essential for
quantifying the dynamic behavior of subcellular structures and virus structures. We introduce …

Quantitative comparison of multiframe data association techniques for particle tracking in time-lapse fluorescence microscopy

I Smal, E Meijering - Medical image analysis, 2015 - Elsevier
Biological studies of intracellular dynamic processes commonly require motion analysis of
large numbers of particles in live-cell time-lapse fluorescence microscopy imaging data …

Piecewise-stationary motion modeling and iterative smoothing to track heterogeneous particle motions in dense environments

P Roudot, L Ding, K Jaqaman… - … on Image Processing, 2017 - ieeexplore.ieee.org
One of the major challenges in multiple particle tracking is the capture of extremely
heterogeneous movements of objects in crowded scenes. The presence of numerous …

[HTML][HTML] A review for cell and particle tracking on microscopy images using algorithms and deep learning technologies

HJ Cheng, CH Hsu, CL Hung, CY Lin - biomedical journal, 2022 - Elsevier
Time-lapse microscopy images generated by biological experiments have been widely used
for observing target activities, such as the motion trajectories and survival states. Based on …

Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images

C Ritter, T Wollmann, JY Lee, A Imle, B Müller… - Medical Image …, 2021 - Elsevier
Automatic tracking of viral structures displayed as small spots in fluorescence microscopy
images is an important task to determine quantitative information about cellular processes …