AIMC Topic: Cell Shape
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Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning.
PloS one
Nov 17, 2021
We define cell morphodynamics as the cell's time dependent morphology. It could be called the cell's shape shifting ability. To measure it we use a biomarker free, dynamic histology method, which is based on multiplexed Cell Magneto-Rotation and Mach...
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...
Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.
PLoS computational biology
Jul 23, 2021
Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (MET), are believed to play key roles in facilitating the metastatic cascade. Metastatic lesions often exhibit a similar epithelial-like state to that ...
Machine Learning
Female
Tumor Microenvironment
Biomarkers, Tumor
Humans
Antigens, CD
Cell Count
Epithelial-Mesenchymal Transition
Cadherins
Cell Line, Tumor
Computational Biology
Triple Negative Breast Neoplasms
Cell Proliferation
Biophysical Phenomena
Models, Biological
Cell Adhesion
Vimentin
Cell Shape
Neoplasm Metastasis
Adaptation, Physiological
Extracellular Matrix
Machine learning for sperm selection.
Nature reviews. Urology
May 17, 2021
Infertility rates and the number of couples seeking fertility care have increased worldwide over the past few decades. Over 2.5 million cycles of assisted reproductive technologies are being performed globally every year, but the success rate has rem...
Anti-senescent drug screening by deep learning-based morphology senescence scoring.
Nature communications
Jan 11, 2021
Advances in deep learning technology have enabled complex task solutions. The accuracy of image classification tasks has improved owing to the establishment of convolutional neural networks (CNN). Cellular senescence is a hallmark of ageing and is im...
Segmentation of corneal endothelium images using a U-Net-based convolutional neural network.
Artificial intelligence in medicine
Apr 19, 2018
Diagnostic information regarding the health status of the corneal endothelium may be obtained by analyzing the size and the shape of the endothelial cells in specular microscopy images. Prior to the analysis, the endothelial cells need to be extracte...
Label-free detection of cellular drug responses by high-throughput bright-field imaging and machine learning.
Scientific reports
Sep 29, 2017
In the last decade, high-content screening based on multivariate single-cell imaging has been proven effective in drug discovery to evaluate drug-induced phenotypic variations. Unfortunately, this method inherently requires fluorescent labeling which...
Image based Machine Learning for identification of macrophage subsets.
Scientific reports
Jun 14, 2017
Macrophages play a crucial rule in orchestrating immune responses against pathogens and foreign materials. Macrophages have remarkable plasticity in response to environmental cues and are able to acquire a spectrum of activation status, best exemplif...
Anticancer activity of biologically synthesized silver and gold nanoparticles on mouse myoblast cancer cells and their toxicity against embryonic zebrafish.
Materials science & engineering. C, Materials for biological applications
Dec 23, 2016
The aim of this study was to evaluate the anticancer activity of bioinspired silver nanoparticles (AgNPs) and gold nanoparticles (AuNPs) against mouse myoblast cancer cells (CC). Both AgNPs and AuNPs were biologically synthesized using Spinacia olera...
Cell Shape
Ethidium
Photoacoustic Techniques
Spinacia oleracea
Cell Survival
Toxicity Tests
Silver
Plant Leaves
Mice
X-Ray Diffraction
Zebrafish
Staining and Labeling
Gold
Embryo, Nonmammalian
Caspases
Acridine Orange
Metal Nanoparticles
Plant Extracts
Myoblasts
Animals
Apoptosis
Antineoplastic Agents
Cell Line, Tumor
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