AIMC Topic: Rats

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Phasic dopamine release identification using convolutional neural network.

Computers in biology and medicine Sep 25, 2019
Dopamine has a major behavioral impact related to drug dependence, learning and memory functions, as well as pathologies such as schizophrenia and Parkinson's disease. Phasic release of dopamine can be measured in vivo with fast-scan cyclic voltammet...
Rats, Sprague-Dawley Electrochemical Techniques Dopamine Electrodes, Implanted Male Mice Rats Databases, Factual Brain Animals Humans Neural Networks, Computer
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Enhancement of Acoustic Microscopy Lateral Resolution: A Comparison Between Deep Learning and Two Deconvolution Methods.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Sep 9, 2019
Scanning acoustic microscopy (SAM) provides high-resolution images of biological tissues. Since higher transducer frequencies limit penetration depth, image resolution enhancement techniques could help in maintaining sufficient lateral resolution wit...
Deep Learning Image Processing, Computer-Assisted Mice Rats Brain Animals Microscopy, Acoustic
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Modeling place cells and grid cells in multi-compartment environments: Entorhinal-hippocampal loop as a multisensory integration circuit.

Neural networks : the official journal of the International Neural Network Society Sep 6, 2019
Hippocampal place cells and entorhinal grid cells are thought to form a representation of space by integrating internal and external sensory cues. Experimental data show that different subsets of place cells are controlled by vision, self-motion or a...
Space Perception Entorhinal Cortex Motion Perception Grid Cells Hippocampus Nerve Net Visual Perception Place Cells Animals Rats Neural Networks, Computer
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Utilizing supervised machine learning to identify microglia and astrocytes in situ: implications for large-scale image analysis and quantification.

Journal of neuroscience methods Sep 5, 2019
BACKGROUND: The evaluation of histological tissue samples plays a crucial role in deciphering preclinical disease and injury mechanisms. High-resolution images can be obtained quickly however data acquisition are often bottlenecked by manual analysis...
Neurosciences Rats Microglia Astrocytes Fluorescent Antibody Technique Histological Techniques Reproducibility of Results Supervised Machine Learning Animals, Genetically Modified Sensitivity and Specificity Animals Image Processing, Computer-Assisted Mice
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Deep learning enables rapid identification of potent DDR1 kinase inhibitors.

Nature biotechnology Sep 2, 2019
We have developed a deep generative model, generative tensorial reinforcement learning (GENTRL), for de novo small-molecule design. GENTRL optimizes synthetic feasibility, novelty, and biological activity. We used GENTRL to discover potent inhibitors...
Deep Learning Mice Rats Microsomes, Liver Molecular Structure Protein Conformation Humans Models, Molecular Enzyme Inhibitors Dogs Animals Discoidin Domain Receptor 1 Drug Evaluation, Preclinical
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A non-linear mathematical model using optical sensor to predict heart decellularization efficacy.

Scientific reports Aug 21, 2019
One of the main problems of the decellularization technique is the subjectivity of the final evaluation of its efficacy in individual organs. This problem can result in restricted cell repopulation reproducibility and worse responses to transplant ti...
Rats, Wistar Rats Models, Theoretical Myocardium Optical Imaging Machine Learning Male Animals Image Processing, Computer-Assisted
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Dendritic computations captured by an effective point neuron model.

Proceedings of the National Academy of Sciences of the United States of America Jul 10, 2019
Complex dendrites in general present formidable challenges to understanding neuronal information processing. To circumvent the difficulty, a prevalent viewpoint simplifies the neuronal morphology as a point representing the soma, and the excitatory a...
CA1 Region, Hippocampal Animals Excitatory Postsynaptic Potentials Rats, Sprague-Dawley Neural Networks, Computer Potassium Channels, Voltage-Gated Rats Neurons Synapses Voltage-Gated Sodium Channels
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Undersampled MR image reconstruction using an enhanced recursive residual network.

Journal of magnetic resonance (San Diego, Calif. : 1997) Jul 9, 2019
When using aggressive undersampling, it is difficult to recover the high quality image with reliably fine features. In this paper, we propose an enhanced recursive residual network (ERRN) that improves the basic recursive residual network with a high...
Rats Magnetic Resonance Imaging Datasets as Topic Brain Humans Knee Animals Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Raman spectroscopic histology using machine learning for nonalcoholic fatty liver disease.

FEBS letters Jul 8, 2019
Histopathology requires the expertise of specialists to diagnose morphological features of cells and tissues. Raman imaging can provide additional biochemical information to benefit histological disease diagnosis. Using a dietary model of nonalcoholi...
Machine Learning Animals Spectrum Analysis, Raman Rats, Sprague-Dawley Male Rats Liver Non-alcoholic Fatty Liver Disease Signal-To-Noise Ratio
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Supervised Learning and Mass Spectrometry Predicts the Fate of Nanomaterials.

ACS nano Jul 3, 2019
The surface of nanoparticles changes immediately after intravenous injection because blood proteins adsorb on the surface. How this interface changes during circulation and its impact on nanoparticle distribution within the body is not understood. He...
Optical Imaging Proteomics Mass Spectrometry Adsorption Metal Nanoparticles Animals Particle Size Rats, Sprague-Dawley Supervised Machine Learning Peptide Library Blood Proteins Surface Properties Rats Gold
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