AIMC Topic: Mice

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Identification of the lipid-lowering component of triterpenes from Alismatis rhizoma based on the MRM-based characteristic chemical profiles and support vector machine model.

Analytical and bioanalytical chemistry May 14, 2019
It has been demonstrated that triterpenes in Alismatis rhizoma (Zexie in Chinese, ZX) contributed to the lipid-lowering effect on high-fat diet-induced hyperlipidemia. Alisol B 23-acetate, one of the abundant triterpenes in ZX, was used as the marker...
Animals Drug Discovery Lipid Metabolism Triterpenes Drug Evaluation, Preclinical Chromatography, High Pressure Liquid Mice Support Vector Machine Lipids Adipogenesis Rhizome Alismataceae Tandem Mass Spectrometry Hyperlipidemias Hypolipidemic Agents 3T3-L1 Cells
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DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images.

PLoS computational biology May 13, 2019
Neuronal synapses transmit electrochemical signals between cells through the coordinated action of presynaptic vesicles, ion channels, scaffolding and adapter proteins, and membrane receptors. In situ structural characterization of numerous synaptic ...
Microscopy, Fluorescence, Multiphoton Neurons Synapses Cerebral Cortex Synaptic Transmission Databases, Factual Computer Simulation Animals Image Processing, Computer-Assisted Mice Neural Networks, Computer Computational Biology Software Models, Neurological Nerve Tissue Proteins
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Multi-Dimensional Mapping of Brain-Derived Extracellular Vesicle MicroRNA Biomarker for Traumatic Brain Injury Diagnostics.

Journal of neurotrauma May 6, 2019
The diagnosis and prognosis of traumatic brain injury (TBI) is complicated by variability in the type and severity of injuries and the multiple endophenotypes that describe each patient's response and recovery to the injury. It has been challenging t...
Humans Machine Learning Biomarkers Brain Injuries, Traumatic Animals Mice, Inbred C57BL Male MicroRNAs Extracellular Vesicles Receptors, AMPA Mice
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SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species.

PLoS computational biology Apr 18, 2019
Understanding sleep and its perturbation by environment, mutation, or medication remains a central problem in biomedical research. Its examination in animal models rests on brain state analysis via classification of electroencephalographic (EEG) sign...
Signal Processing, Computer-Assisted Electromyography Wakefulness Sleep Models, Animal Mice Neural Networks, Computer Humans Computational Biology Machine Learning Rats Animals Electroencephalography
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Refining humane endpoints in mouse models of disease by systematic review and machine learning-based endpoint definition.

ALTEX Apr 18, 2019
Ideally, humane endpoints allow for early termination of experiments by minimizing an animal's discomfort, distress and pain, while ensuring that scientific objectives are reached. Yet, lack of commonly agreed methodology and heterogeneity of cut-off...
Random Allocation Body Temperature Ethical Review Disease Models, Animal Severity of Illness Index Female Stroke Mice, Inbred C57BL Sepsis Animals Body Weight Mice, Knockout Time Factors Male Supervised Machine Learning Systematic Reviews as Topic Mice Animal Welfare
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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 Video Recording Image Processing, Computer-Assisted Mice, Transgenic Mice Visual Cortex Neurons Microscopy, Fluorescence, Multiphoton Calcium
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PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices.

Journal of neural engineering Apr 10, 2019
OBJECTIVE: Intracellular patch-clamp electrophysiology, one of the most ubiquitous, high-fidelity techniques in biophysics, remains laborious and low-throughput. While previous efforts have succeeded at automating some steps of the technique, here we...
Humans Patch-Clamp Techniques HEK293 Cells Cells, Cultured Organ Culture Techniques Brain Electrophysiological Phenomena Animals Male Mice Mice, Inbred C57BL Robotics
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Autonomous patch-clamp robot for functional characterization of neurons in vivo: development and application to mouse visual cortex.

Journal of neurophysiology Apr 10, 2019
Patch clamping is the gold standard measurement technique for cell-type characterization in vivo, but it has low throughput, is difficult to scale, and requires highly skilled operation. We developed an autonomous robot that can acquire multiple cons...
Mice, Inbred C57BL Robotics Neurons Photic Stimulation Visual Cortex Electrophysiological Phenomena Patch-Clamp Techniques Animals Male Mice
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A supervised machine learning approach to characterize spinal network function.

Journal of neurophysiology Apr 3, 2019
Spontaneous activity is a common feature of immature neuronal networks throughout the central nervous system and plays an important role in network development and consolidation. In postnatal rodents, spontaneous activity in the spinal cord exhibits ...
Nerve Net Electrophysiological Phenomena Mice Supervised Machine Learning Spinal Cord Animals, Newborn Animals
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Robust mouse tracking in complex environments using neural networks.

Communications biology Mar 29, 2019
The ability to track animals accurately is critical for behavioral experiments. For video-based assays, this is often accomplished by manipulating environmental conditions to increase contrast between the animal and the background in order to achieve...
Female Animals Male Mice Locomotion Mice, Nude Neural Networks, Computer Housing, Animal Mice, Obese Models, Animal Photoperiod Behavior, Animal
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