Deep-learning method for data association in particle tracking
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 …
particle tracking as a first step toward quantitative analysis. Although many particle tracking …
Deep probabilistic tracking of particles in fluorescence microscopy images
R Spilger, JY Lee, VO Chagin, L Schermelleh… - Medical image …, 2021 - Elsevier
Tracking of particles in temporal fluorescence microscopy image sequences is of
fundamental importance to quantify dynamic processes of intracellular structures as well as …
fundamental importance to quantify dynamic processes of intracellular structures as well as …
Discovering interpretable models of scientific image data with deep learning
CJ Soelistyo, AR Lowe - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
In this study we demonstrate the possibility of finding interpretable domain-appropriate
models of biological images and propose that such a strategy can be used to derive …
models of biological images and propose that such a strategy can be used to derive …
Regulated Behavior in Living Cells with Highly Aligned Configurations on Nanowrinkled Graphene Oxide Substrates: Deep Learning Based on Interplay of Cellular …
Micro-/nanotopographical cues have emerged as a practical and promising strategy for
controlling cell fate and reprogramming, which play a key role as biophysical regulators in …
controlling cell fate and reprogramming, which play a key role as biophysical regulators in …
Translation of cellular protein localization using convolutional networks
Protein localization in cells has been analyzed by fluorescent labeling using indirect
immunofluorescence and fluorescent protein tagging. However, the relationships between …
immunofluorescence and fluorescent protein tagging. However, the relationships between …
Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
C Yoshikawa, DA Nguyen… - ACS Biomaterials …, 2024 - ACS Publications
Manipulating the three-dimensional (3D) structures of cells is important for facilitating to
repair or regenerate tissues. A self-assembly system of cells with cellulose nanofibers …
repair or regenerate tissues. A self-assembly system of cells with cellulose nanofibers …
Studying the wound healing property of biologically and chemically synthesized gold nanoparticles through scratch assay and neural network modeling
Abstract Gold nanoparticles (Au NPs) are commonly used as anti-haemorrhagic and
antiseptic agents. Thus, their cytotoxicity should be studied before application. In this study …
antiseptic agents. Thus, their cytotoxicity should be studied before application. In this study …
Accelerating the experimental responses on cell behaviors: a long-term prediction of cell trajectories using Social Generative Adversarial Network
The incremented uptake provided by time-lapse microscopy in Organ-on-a-Chip (OoC)
devices allowed increased attention to the dynamics of the co-cultured systems. However …
devices allowed increased attention to the dynamics of the co-cultured systems. However …
Direct cell counting using macro-scale smartphone images of cell aggregates
The field of bioengineering depends on technologies for stable cell culture. Conventionally,
every process involved in cell culture has been performed manually, so the culture efficiency …
every process involved in cell culture has been performed manually, so the culture efficiency …
Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning
The number of patients with heart failure and related deaths is rapidly increasing worldwide,
making it a major problem. Cardiac hypertrophy is a crucial preliminary step in heart failure …
making it a major problem. Cardiac hypertrophy is a crucial preliminary step in heart failure …