AIMC Topic: Mice

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A Coupled FEM-SPH Modeling Technique to Investigate the Contractility of Biohybrid Thin Films.

Advanced biosystems Jun 9, 2020
Biohybrid actuators have the potential to overcome the limitations of traditional actuators employed in robotics, thanks to the unique features of living contractile muscle cells, which can be used to power artificial elements. This paper describes a...
Muscle Fibers, Skeletal Hydrostatic Pressure Muscle Contraction Membranes, Artificial Finite Element Analysis Dimethylpolysiloxanes Myoblasts Polyesters Tissue Engineering Humans Animals Mice Cell Line Muscle, Skeletal Robotics
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Utilization of a Deep Learning Algorithm for Microscope-Based Fatty Vacuole Quantification in a Fatty Liver Model in Mice.

Toxicologic pathology Jun 8, 2020
Quantification of fatty vacuoles in the liver, with differentiation from lumina of liver blood vessels and bile ducts, is an example where the traditional semiquantitative pathology assessment can be enhanced with artificial intelligence (AI) algorit...
Mice Disease Models, Animal Liver Non-alcoholic Fatty Liver Disease Microscopy Artificial Intelligence Machine Learning Algorithms Animals Deep Learning Image Interpretation, Computer-Assisted Vacuoles
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Deep Learning Identifies Cardiomyocyte Nuclei With High Precision.

Circulation research Jun 3, 2020
Reproducibility of Results Animals Deep Learning Image Processing, Computer-Assisted Mice Myocytes, Cardiac Biomarkers Cell Nucleus Immunohistochemistry Mice, Transgenic Myosin Heavy Chains Fluorescent Dyes Troponin T Integrases Indoles Microscopy
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An innovative method for screening and evaluating the degree of diabetic retinopathy and drug treatment based on artificial intelligence algorithms.

Pharmacological research Jun 2, 2020
Current methods of evaluating the degree of diabetic retinopathy are highly subjective and have no quantitative standard. To objectively evaluate the slight changes in tissue structure during the early stage of retinal diseases, a subjective interpre...
Retinal Ganglion Cells Pattern Recognition, Automated Retinal Vessels Rats, Wistar Male Diabetes Mellitus, Experimental Diabetes Mellitus, Type 1 Diabetic Retinopathy Severity of Illness Index Retina Hypoglycemic Agents Deep Learning Animals Microscopy Predictive Value of Tests Diabetes Mellitus, Type 2 Image Interpretation, Computer-Assisted Drugs, Chinese Herbal Mice Early Diagnosis
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Automatization and improvement of μCT analysis for murine lung disease models using a deep learning approach.

Respiratory research May 24, 2020
BACKGROUND: One of the main diagnostic tools for lung diseases in humans is computed tomography (CT). A miniaturized version, micro-CT (μCT) is utilized to examine small rodents including mice. However, fully automated threshold-based segmentation an...
Absorptiometry, Photon X-Ray Microtomography Mice Lipopolysaccharides Female Mice, Inbred C57BL Animals Lung Diseases Male Pattern Recognition, Automated Deep Learning
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Automated detection of the head-twitch response using wavelet scalograms and a deep convolutional neural network.

Scientific reports May 20, 2020
Hallucinogens induce the head-twitch response (HTR), a rapid reciprocal head movement, in mice. Although head twitches are usually identified by direct observation, they can also be assessed using a head-mounted magnet and a magnetometer. Procedures ...
Mice Support Vector Machine Drug Evaluation, Preclinical Hallucinogens Models, Animal Magnets Behavior, Animal Head Movements Behavior Observation Techniques Magnetometry Reproducibility of Results Sensitivity and Specificity Animals Male
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CytoCensus, mapping cell identity and division in tissues and organs using machine learning.

eLife May 19, 2020
A major challenge in cell and developmental biology is the automated identification and quantitation of cells in complex multilayered tissues. We developed CytoCensus: an easily deployed implementation of supervised machine learning that extends conv...
Tissue Culture Techniques Time-Lapse Imaging Microscopy, Video Image Processing, Computer-Assisted Organoids Mice Reproducibility of Results Embryo, Mammalian Machine Learning Mutation Animals Animals, Genetically Modified Retina Male Automation Zebrafish Phenotype Larva Drosophila melanogaster Brain Time Factors Cell Division Female
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An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRI.

Scientific reports May 15, 2020
Saturation transfer MRI can be useful in the characterization of different tumour types. It is sensitive to tumour metabolism, microstructure, and microenvironment. This study aimed to use saturation transfer to differentiate between intratumoural re...
Apoptosis Humans Prostatic Neoplasms Machine Learning Xenograft Model Antitumor Assays Female Automation Algorithms Animals Cell Proliferation Tumor Cells, Cultured Male Adenocarcinoma Image Processing, Computer-Assisted Magnetic Resonance Imaging Mice Mice, Nude
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Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis.

Nature communications May 11, 2020
Single-cell RNA sequencing (scRNA-seq) can characterize cell types and states through unsupervised clustering, but the ever increasing number of cells and batch effect impose computational challenges. We present DESC, an unsupervised deep embedding a...
Islets of Langerhans Bone Marrow Retina Gene Expression Regulation Macaca Single-Cell Analysis Humans RNA-Seq Algorithms Mice Animals Monocytes Leukocytes, Mononuclear Cluster Analysis Deep Learning
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Machine learning-guided evolution of BMP-2 knuckle Epitope-Derived osteogenic peptides to target BMP receptor II.

Journal of drug targeting May 1, 2020
Bone morphogenetic protein-2 (BMP-2) is a key regulator of bone formation, growth and regeneration, which contains a conformational wrist epitope and a linear knuckle epitope that are functionally responsible for the protein by mediating its interact...
Epitopes Osteogenesis Crystallization Bone Morphogenetic Protein Receptors Humans Machine Learning Animals Peptides Mice
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