Plant cell tracking using Kalman filter based local graph matching

M Liu, Y He, Y Wei, P ** multicellular
tissues is required for high throughput spatio-temporal quantitative measurements of a …

Multicell migration tracking within angiogenic networks by deep learning-based segmentation and augmented Bayesian filtering

M Wang, LLS Ong, J Dauwels… - Journal of Medical …, 2018 - spiedigitallibrary.org
Cell migration is a key feature for living organisms. Image analysis tools are useful in
studying cell migration in three-dimensional (3-D) in vitro environments. We consider …

Adaptive tracking algorithm for trajectory analysis of cells and layer-by-layer assessment of motility dynamics

MH Qureshi, N Ozlu, H Bayraktar - Computers in Biology and Medicine, 2022 - Elsevier
Tracking biological objects such as cells or subcellular components imaged with time-lapse
microscopy enables us to understand the molecular principles about the dynamics of cell …

Large‐scale tracking and classification for automatic analysis of cell migration and proliferation, and experimental optimization of high‐throughput screens of …

N Harder, R Batra, N Diessl, S Gogolin, R Eils… - Cytometry Part …, 2015 - Wiley Online Library
Computational approaches for automatic analysis of image‐based high‐throughput and
high‐content screens are gaining increased importance to cope with the large amounts of …

Cell population tracking in a honeycomb structure using an IMM filter based 3D local graph matching model

M Liu, Y He, W Qian, Y Wei, X Liu - IEEE/ACM Transactions on …, 2017 - ieeexplore.ieee.org
Develo** algorithms for plant cell population tracking is very critical for the modeling of
plant cell growth pattern and gene expression dynamics. The tracking of plant cells in …

Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms

TT Toma, Y Wang, A Gahlmann, ST Acton - arxiv preprint arxiv …, 2024 - arxiv.org
Automatic cell tracking in dense environments is plagued by inaccurate correspondences
and misidentification of parent-offspring relationships. In this paper, we introduce a novel …

Ct3d: tracking microglia motility in 3D using a novel cosegmentation approach

H **ao, Y Li, J Du, A Mosig - Bioinformatics, 2011 - academic.oup.com
Motivation: Cell tracking is an important method to quantitatively analyze time-lapse
microscopy data. While numerous methods and tools exist for tracking cells in 2D time-lapse …

Online 3-D tracking of suspension living cells imaged with phase-contrast microscopy

CH Huang, S Sankaran, D Racoceanu… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Neural stem cells/neural progenitors (NSCs/NPs) are cells that give rise to the main cell
types of the nervous system: oligodendrocytes, neurons, and astrocytes. Studying …

Method and Apparatus for Identifying Objects in a Plurality of Objects Using Dielectrophoresis

SJ Dickerson, DM Chiarulli, SP Levitan… - US Patent App. 14 …, 2014 - Google Patents
An apparatus for identifying objects in a plurality of objects includes a portion which applies
dielectrophoresis to the plu rality of objects. The apparatus includes a portion which tracks …

Multiple hypothesis tracking with integrated cell division detection

D Schacherer, C Ritter, K Rohr - 2021 IEEE 18th International …, 2021 - ieeexplore.ieee.org
Automatic tracking of proliferating cells in microscopy images is important to elucidate
biological processes. We have developed a new probabilistic approach for cell tracking …