AIMC Topic: Mice, Transgenic

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A deep learning approach to identify gene targets of a therapeutic for human splicing disorders.

Nature communications Jun 7, 2021
Pre-mRNA splicing is a key controller of human gene expression. Disturbances in splicing due to mutation lead to dysregulated protein expression and contribute to a substantial fraction of human disease. Several classes of splicing modulator compound...
Mice Computational Biology Mutation Phenethylamines HEK293 Cells Humans Animals Transcriptome Deep Learning Cystic Fibrosis Transmembrane Conductance Regulator RNA Splicing Exons MutL Protein Homolog 1 Gene Targeting tau Proteins Sterol Esterase Pyridazines Mice, Transgenic
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Functional parcellation of mouse visual cortex using statistical techniques reveals response-dependent clustering of cortical processing areas.

PLoS computational biology Feb 4, 2021
The visual cortex of the mouse brain can be divided into ten or more areas that each contain complete or partial retinotopic maps of the contralateral visual field. It is generally assumed that these areas represent discrete processing regions. In co...
Machine Learning Brain Neurons Visual Fields Mice, Transgenic Cluster Analysis Female Normal Distribution Photic Stimulation Models, Statistical Photons Animals Brain Mapping Visual Cortex Visual Pathways Male Retina Prosencephalon Mice
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A computational framework for optimal control of a self-adjustive neural system with activity-dependent and homeostatic plasticity.

NeuroImage Jan 30, 2021
The control of the brain system has received increasing attention in the domain of brain science. Most brain control studies have been conducted to explore the brain network's graph-theoretic properties or to produce the desired state based on neural...
Neural Networks, Computer Hippocampus Homeostasis Mice, Transgenic Animals Mice Neuronal Plasticity Models, Neurological
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Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies.

Toxicologic pathology Dec 8, 2020
In Tg-rasH2 carcinogenicity mouse models, a positive control group is treated with a carcinogen such as urethane or N-nitroso-N-methylurea to test study validity based on the presence of the expected proliferative lesions in the transgenic mice. We h...
Carcinogens Methylurea Compounds Urethane Animals Deep Learning Mice Mice, Transgenic Artificial Intelligence Algorithms
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Deep Learning Identifies Cardiomyocyte Nuclei With High Precision.

Circulation research Jun 3, 2020
Indoles Microscopy Myocytes, Cardiac Cell Nucleus Myosin Heavy Chains Immunohistochemistry Mice, Transgenic Mice Fluorescent Dyes Troponin T Integrases Reproducibility of Results Animals Deep Learning Image Processing, Computer-Assisted Biomarkers
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Democratized image analytics by visual programming through integration of deep models and small-scale machine learning.

Nature communications Oct 7, 2019
Analysis of biomedical images requires computational expertize that are uncommon among biomedical scientists. Deep learning approaches for image analysis provide an opportunity to develop user-friendly tools for exploratory data analysis. Here, we us...
Internet Life Cycle Stages Oocytes Reproducibility of Results Saccharomyces cerevisiae Animals Neural Networks, Computer Image Processing, Computer-Assisted Green Fluorescent Proteins Saccharomyces cerevisiae Proteins Machine Learning Computational Biology Mice, Transgenic Dictyostelium
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Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning.

Proceedings of the National Academy of Sciences of the United States of America Apr 11, 2019
Calcium imaging records large-scale neuronal activity with cellular resolution in vivo. Automated, fast, and reliable active neuron segmentation is a critical step in the analysis workflow of utilizing neuronal signals in real-time behavioral studies...
Humans Animals Deep Learning Image Processing, Computer-Assisted Calcium Video Recording Mice, Transgenic Mice Neurons Visual Cortex Microscopy, Fluorescence, Multiphoton
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Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models.

PloS one Mar 13, 2019
The health and function of tissue rely on its vasculature network to provide reliable blood perfusion. Volumetric imaging approaches, such as multiphoton microscopy, are able to generate detailed 3D images of blood vessels that could contribute to ou...
Cerebral Cortex Mice, Transgenic Cerebral Angiography Microscopy, Fluorescence, Multiphoton Imaging, Three-Dimensional Mice Disease Models, Animal Alzheimer Disease Humans Neural Networks, Computer Animals
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Automatic glomerular identification and quantification of histological phenotypes using image analysis and machine learning.

American journal of physiology. Renal physiology Sep 26, 2018
Current methods of scoring histological kidney samples, specifically glomeruli, do not allow for collection of quantitative data in a high-throughput and consistent manner. Neither untrained individuals nor computers are presently capable of identify...
Kidney Diseases Humans Machine Learning Predictive Value of Tests Software Biopsy Reproducibility of Results Automation, Laboratory Phenotype Workflow Species Specificity Animals Diagnosis, Computer-Assisted Female Kidney Glomerulus Mice, Transgenic Male Rats Microscopy Disease Models, Animal Image Interpretation, Computer-Assisted Mice, Inbred C57BL Pattern Recognition, Automated
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Organization of Neural Population Code in Mouse Visual System.

eNeuro Jul 17, 2018
The mammalian visual system consists of several anatomically distinct areas, layers, and cell types. To understand the role of these subpopulations in visual information processing, we analyzed neural signals recorded from excitatory neurons from var...
Neurons Animals Mice, Transgenic Mice Visual Perception Support Vector Machine Visual Cortex Signal Processing, Computer-Assisted
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