AIMC Topic: Mice

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Flexible Learning-Free Segmentation and Reconstruction of Neural Volumes.

Scientific reports Sep 24, 2018
Imaging is a dominant strategy for data collection in neuroscience, yielding stacks of images that often scale to gigabytes of data for a single experiment. Machine learning algorithms from computer vision can serve as a pair of virtual eyes that tir...
Mice X-Ray Microtomography Synchrotrons Machine Learning Algorithms Animals Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Isolation and identification of immunomodulatory selenium-containing peptides from selenium-enriched rice protein hydrolysates.

Food chemistry Sep 20, 2018
The RAW264.7 cell model was employed to screen immunomodulatory selenium-containing peptides from selenium-enriched rice protein hydrolysates (SPHs). Moreover, the selenium-containing peptides of high-activity protein hydrolysates were purified by Se...
Protein Hydrolysates Chromatography, High Pressure Liquid Macrophages Selenium Oryza Selenomethionine Tandem Mass Spectrometry Animals Mice Sonication Immunologic Factors RAW 264.7 Cells Nitric Oxide Peptides Metalloendopeptidases Cell Proliferation Amino Acid Sequence
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Implementation of deep neural networks to count dopamine neurons in substantia nigra.

The European journal of neuroscience Sep 20, 2018
Unbiased estimates of neuron numbers within substantia nigra are crucial for experimental Parkinson's disease models and gene-function studies. Unbiased stereological counting techniques with optical fractionation are successfully implemented, but ar...
Substantia Nigra Neural Networks, Computer Dopamine Reproducibility of Results Dopaminergic Neurons Animals Male Tyrosine 3-Monooxygenase Mice Rats, Wistar Parkinsonian Disorders
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Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification.

BMC bioinformatics Sep 18, 2018
BACKGROUND: Quantitative traits or continuous outcomes related to complex diseases can provide more information and therefore more accurate analysis for identifying gene-gene and gene- environment interactions associated with complex diseases. Multif...
Humans Phenotype Female Animals Fuzzy Logic Genetic Markers Epistasis, Genetic Mice Polymorphism, Single Nucleotide Computational Biology Models, Genetic
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Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

Magnetic resonance in medicine Sep 17, 2018
PURPOSE: We sought to assess whether machine learning-based classification approaches can improve the classification of pancreatic tumor models relative to more simplistic analysis methods, using T relaxation, CEST, and DCE MRI.
Mice, SCID Image Enhancement Normal Distribution Machine Learning Principal Component Analysis Algorithms Mice Area Under Curve Magnetic Resonance Imaging Female Hypoxia Reproducibility of Results Pancreatic Neoplasms Image Interpretation, Computer-Assisted Sensitivity and Specificity Humans Animals Cell Line, Tumor Image Processing, Computer-Assisted
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High-throughput ovarian follicle counting by an innovative deep learning approach.

Scientific reports Sep 10, 2018
The evaluation of the number of mouse ovarian primordial follicles (PMF) can provide important information about ovarian function, regulation of folliculogenesis or the impact of chemotherapy on fertility. This counting, usually performed by speciali...
Female High-Throughput Screening Assays Animals Models, Animal Deep Learning Ovarian Follicle Mice
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Novel symmetry-based gene-gene dissimilarity measures utilizing Gene Ontology: Application in gene clustering.

Gene Sep 2, 2018
In recent years DNA microarray technology, leading to the generation of high-volume biological data, has gained significant attention. To analyze this high volume gene-expression data, one such powerful tool is Clustering. For any clustering algorith...
Animals Saccharomyces cerevisiae Proteins Gene Expression Profiling Mice Saccharomyces cerevisiae Computational Biology Gene Ontology Oligonucleotide Array Sequence Analysis Databases, Genetic Cluster Analysis Multigene Family Gene Expression Regulation Algorithms
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DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.

Nature neuroscience Aug 20, 2018
Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis ca...
Video Recording Behavior, Animal Drosophila melanogaster Nerve Net Humans Male Posture Behavior Neural Networks, Computer Deep Learning Mice, Inbred C57BL Transfer, Psychology Algorithms Mice Odorants Animals Psychomotor Performance
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Automated dendritic spine detection using convolutional neural networks on maximum intensity projected microscopic volumes.

Journal of neuroscience methods Aug 18, 2018
BACKGROUND: Dendritic spines are structural correlates of excitatory synapses in the brain. Their density and structure are shaped by experience, pointing to their role in memory encoding. Dendritic spine imaging, followed by manual analysis, is a pr...
Neural Networks, Computer Animals Male Imaging, Three-Dimensional Mice Microscopy, Confocal Pattern Recognition, Automated Dendritic Spines
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Slow wave detection in sleeping mice: Comparison of traditional and machine learning methods.

Journal of neuroscience methods Aug 17, 2018
BACKGROUND: During slow-wave sleep the electroencephalographic (EEG) and local field potential (LFP) recordings reveal the presence of large amplitude slow waves. Systematic extraction of individual slow waves is not trivial.
Brain Waves Humans Electrocorticography Animals Neural Networks, Computer Sleep, Slow-Wave Mice Pattern Recognition, Automated
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