AIMC Topic: Cell Movement
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Utilizing artificial intelligence to solving time - cost - quality trade-off problem.
Scientific reports
Nov 22, 2022
This study presents the Slime Mold Algorithm (SMA) to solve the time-cost-quality trade-off problem in a construction project. The proposed SMA is a flexible and efficient algorithm in exploration and exploitation to reach the best optimal solution t...
Proper Orthogonal Decomposition Analysis Reveals Cell Migration Directionality During Wound Healing.
Annals of biomedical engineering
Jul 11, 2022
A proper orthogonal decomposition (POD) order reduction method was implemented to reduce the full high dimensional dynamical system associated with a wound healing cell migration assay to a low-dimensional approximation that identified the prevailing...
Exploring the Study of miR-1301 Inhibiting the Proliferation and Migration of Squamous Cell Carcinoma YD-38 Cells through PI3K/AKT Pathway under Deep Learning Medical Images.
Computational intelligence and neuroscience
Feb 10, 2022
With the rapid development and application of deep learning medical image recognition, natural language processing, and other fields, at the same time, deep learning has become the most popular research direction in the field of image processing and ...
ACME: Automatic feature extraction for cell migration examination through intravital microscopy imaging.
Medical image analysis
Jan 14, 2022
Cell detection and tracking applied to in vivo fluorescence microscopy has become an essential tool in biomedicine to characterize 4D (3D space plus time) biological processes at the cellular level. Traditional approaches to cell motion analysis by m...
Spatial and temporal dynamics of RhoA activities of single breast tumor cells in a 3D environment revealed by a machine learning-assisted FRET technique.
Experimental cell research
Nov 20, 2021
One of the hallmarks of cancer cells is their exceptional ability to migrate within the extracellular matrix (ECM) for gaining access to the circulatory system, a critical step of cancer metastasis. RhoA, a small GTPase, is known to be a key molecula...
Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry.
Cells
Oct 28, 2021
Platelets are functionally versatile blood cells involved in thrombosis, hemostasis, atherosclerosis, and immune response. Platelet interaction with the immediate microenvironment in blood, vasculature, and tissues alters platelet morphology. The qua...
Comparative mapping of crawling-cell morphodynamics in deep learning-based feature space.
PLoS computational biology
Aug 12, 2021
Navigation of fast migrating cells such as amoeba Dictyostelium and immune cells are tightly associated with their morphologies that range from steady polarized forms that support high directionality to those more complex and variable when making fre...
Engineered Extracellular Matrices with Integrated Wireless Microactuators to Study Mechanobiology.
Advanced materials (Deerfield Beach, Fla.)
Aug 7, 2021
Mechanobiology explores how forces regulate cell behaviors and what molecular machinery are responsible for the sensing, transduction, and modulation of mechanical cues. To this end, probing of cells cultured on planar substrates has served as a prim...
Emerging machine learning approaches to phenotyping cellular motility and morphodynamics.
Physical biology
Jun 17, 2021
Cells respond heterogeneously to molecular and environmental perturbations. Phenotypic heterogeneity, wherein multiple phenotypes coexist in the same conditions, presents challenges when interpreting the observed heterogeneity. Advances in live cell ...
Deep Convolutional and Recurrent Neural Networks for Cell Motility Discrimination and Prediction.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 8, 2021
Cells in culture display diverse motility behaviors that may reflect differences in cell state and function, providing motivation to discriminate between different motility behaviors. Current methods to do so rely upon manual feature engineering. How...
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