Click chemistry as a tool for cell engineering and drug delivery

Y Takayama, K Kusamori, M Nishikawa - Molecules, 2019 - mdpi.com
Click chemistry has great potential for use in binding between nucleic acids, lipids, proteins,
and other molecules, and has been used in many research fields because of its beneficial …

A particle multi-target tracker for superpositional measurements using labeled random finite sets

F Papi, DY Kim - IEEE Transactions on Signal Processing, 2015 - ieeexplore.ieee.org
In this paper we present a general solution for multi-target tracking with superpositional
measurements. Measurements that are functions of the sum of the contributions of the …

[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 …

Ensemble deep learning object detection fusion for cell tracking, mitosis, and lineage

IE Toubal, N Al-Shakarji… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Cell tracking and motility analysis are essential for understanding multicellular processes,
automated quantification in biomedical experiments, and medical diagnosis and treatment …

Automated segmentation and tracking of non-rigid objects in time-lapse microscopy videos of polymorphonuclear neutrophils

S Brandes, Z Mokhtari, F Essig, K Hünniger… - Medical Image …, 2015 - Elsevier
Time-lapse microscopy is an important technique to study the dynamics of various biological
processes. The labor-intensive manual analysis of microscopy videos is increasingly …

Robust plant cell tracking using local spatio-temporal context

M Liu, P Xiang, G Liu - Neurocomputing, 2016 - Elsevier
Automated segmentation and tracking of cells in actively developing plant tissues can
provide high-throughput and quantitative spatio-temporal measurements of a range of cell …

High density cell tracking with accurate centroid detections and active area-based tracklet clustering

XH Zhi, S Meng, HB Shen - Neurocomputing, 2018 - Elsevier
Accurate cell tracking and lineage construction under microscopy has played an important
role in analyzing cell migration, mitosis and proliferation. In the last decade, this labor …

A multiCell visual tracking algorithm using multi-task particle swarm optimization for low-contrast image sequences

Y Ren, B Xu, P Zhu, M Lu, D Jiang - Applied Intelligence, 2016 - Springer
In terms of the varying number of cell population, shape deformation, collision and uneven
movement, a novel method based on multi-task particle swarm optimization (PSO) algorithm …

[HTML][HTML] Characterization and classification of adherent cells in monolayer culture using automated tracking and evolutionary algorithms

Z Zhang, M Bedder, SL Smith, D Walker, S Shabir… - Biosystems, 2016 - Elsevier
This paper presents a novel method for tracking and characterizing adherent cells in
monolayer culture. A system of cell tracking employing computer vision techniques was …

Minimal path based particle tracking in low SNR fluorescence microscopy images

S Lu, T Chen, F Yang, C Peng, S Du, Y Li - Proceedings of the 4th …, 2019 - dl.acm.org
Single Particle Tracking (SPT) in fluorescence microscopy image is of great importance in
the field of computational biology. Automatic or slightly interactive tracking algorithms are …