[HTML][HTML] Computerized cell tracking: Current methods, tools and challenges

N Emami, Z Sedaei, R Ferdousi - Visual Informatics, 2021 - Elsevier
In developmental biology, knowledge of cell structure and their (morpho) dynamic behavior,
leads to a comprehensive understanding of their conducts and the mechanisms in which …

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 …

Transport mechanisms of solid lipid nanoparticles across Caco-2 cell monolayers and their related cytotoxicology

GH Chai, Y Xu, SQ Chen, B Cheng, FQ Hu… - … applied materials & …, 2016 - ACS Publications
Solid lipid nanoparticles (SLNs) have been extensively investigated and demonstrated to be
a potential nanocarriers for improving oral bioavailability of many drugs. However, the …

Deep-learning method for data association in particle tracking

Y Yao, I Smal, I Grigoriev, A Akhmanova… - …, 2020 - academic.oup.com
Motivation Biological studies of dynamic processes in living cells often require accurate
particle tracking as a first step toward quantitative analysis. Although many particle tracking …

Multi-target tracking with time-varying clutter rate and detection profile: Application to time-lapse cell microscopy sequences

SH Rezatofighi, S Gould, BT Vo, BN Vo… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Quantitative analysis of the dynamics of tiny cellular and sub-cellular structures, known as
particles, in time-lapse cell microscopy sequences requires the development of a reliable …

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 …

Tracking multiple particles in fluorescence time-lapse microscopy images via probabilistic data association

WJ Godinez, K Rohr - IEEE transactions on medical imaging, 2014 - ieeexplore.ieee.org
Tracking subcellular structures as well as viral structures displayed asparticles' in
fluorescence microscopy images yields quantitative information on the underlying dynamical …

Virtual cell imaging: A review on simulation methods employed in image cytometry

V Ulman, D Svoboda, M Nykter, M Kozubek… - Cytometry Part …, 2016 - Wiley Online Library
The simulations of cells and microscope images thereof have been used to facilitate the
development, selection, and validation of image analysis algorithms employed in cytometry …

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 …