AIMC Topic: Mice

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Convolutional neural networks for reconstruction of undersampled optical projection tomography data applied to in vivo imaging of zebrafish.

Journal of biophotonics Aug 29, 2019
Optical projection tomography (OPT) is a 3D mesoscopic imaging modality that can utilize absorption or fluorescence contrast. 3D images can be rapidly reconstructed from tomographic data sets sampled with sufficient numbers of projection angles using...
Neural Networks, Computer Mice Zebrafish Pancreas Tomography, Optical Animals Lung Image Processing, Computer-Assisted
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A null model of the mouse whole-neocortex micro-connectome.

Nature communications Aug 29, 2019
In connectomics, the study of the network structure of connected neurons, great advances are being made on two different scales: that of macro- and meso-scale connectomics, studying the connectivity between populations of neurons, and that of micro-s...
Connectome Mice Neural Networks, Computer Nerve Net Models, Statistical Brain Neocortex Neurons Animals Models, Animal
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Deep Learning Diffuse Optical Tomography.

IEEE transactions on medical imaging Aug 20, 2019
Diffuse optical tomography (DOT) has been investigated as an alternative imaging modality for breast cancer detection thanks to its excellent contrast to hemoglobin oxidization level. However, due to the complicated non-linear photon scattering physi...
Neoplasms, Experimental Phantoms, Imaging Tomography, Optical Deep Learning Image Processing, Computer-Assisted Cell Line, Tumor Mice Algorithms Mice, Inbred C57BL Animals
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scGen predicts single-cell perturbation responses.

Nature methods Jul 29, 2019
Accurately modeling cellular response to perturbations is a central goal of computational biology. While such modeling has been based on statistical, mechanistic and machine learning models in specific settings, no generalization of predictions to ph...
Transcriptome Single-Cell Analysis Mice Computational Biology Animals Leukocytes, Mononuclear Gene Expression Profiling Algorithms Species Specificity Computer Simulation Humans Phagocytes Machine Learning
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Spread of α-synuclein pathology through the brain connectome is modulated by selective vulnerability and predicted by network analysis.

Nature neuroscience Jul 25, 2019
Studies of patients afflicted by neurodegenerative diseases suggest that misfolded proteins spread through the brain along anatomically connected networks, prompting progressive decline. Recently, mouse models have recapitulated the cell-to-cell tran...
Linear Models Brain Brain Mapping Connectome Female alpha-Synuclein Leucine-Rich Repeat Serine-Threonine Protein Kinase-2 Neurons Mice Animals Models, Neurological Male Neural Networks, Computer Cell Death Mice, Inbred C57BL
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Deep learning of spontaneous arousal fluctuations detects early cholinergic defects across neurodevelopmental mouse models and patients.

Proceedings of the National Academy of Sciences of the United States of America Jul 22, 2019
Neurodevelopmental spectrum disorders like autism (ASD) are diagnosed, on average, beyond age 4 y, after multiple critical periods of brain development close and behavioral intervention becomes less effective. This raises the urgent need for quantita...
Animals Male Humans Female Pupil Arousal Methyl-CpG-Binding Protein 2 Disease Models, Animal Rett Syndrome Deep Learning Acetylcholine Cohort Studies Protein Serine-Threonine Kinases Autistic Disorder Mice
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Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting.

Computers in biology and medicine Jul 22, 2019
Stem cells are a group of competent cells capable of self-renewal and differentiating into osteogenic, chondrogenic, and adipogenic lineages. These cells provide the possibility of successfully treating patients. During differentiation into adipose t...
Bone Marrow Cells Adipocytes Lipid Droplets Animals Deep Learning Image Processing, Computer-Assisted Mice Cell Differentiation Mesenchymal Stem Cells
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Magnetically Actuated Heterogeneous Microcapsule-Robot for the Construction of 3D Bioartificial Architectures.

ACS applied materials & interfaces Jul 12, 2019
Core-shell microcapsules as one type of the most attractive carriers and reactors have been widely applied in the fields of drug screening and tissue engineering owing to their excellent biocompatibility and semi-permeability. Yet, the spatial organi...
Capsules Magnetic Fields Animals Mice Nanoparticles Materials Testing Permeability Cell Line Robotics
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3D Neuron Reconstruction in Tangled Neuronal Image With Deep Networks.

IEEE transactions on medical imaging Jul 9, 2019
Digital reconstruction or tracing of 3D neuron is essential for understanding the brain functions. While existing automatic tracing algorithms work well for the clean neuronal image with a single neuron, they are not robust to trace the neuron surrou...
Mice Algorithms Neurons Brain Animals Microscopy Humans Nerve Fibers Deep Learning Imaging, Three-Dimensional
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Enabling full-length evolutionary profiles based deep convolutional neural network for predicting DNA-binding proteins from sequence.

Proteins Jul 8, 2019
Sequence based DNA-binding protein (DBP) prediction is a widely studied biological problem. Sliding windows on position specific substitution matrices (PSSMs) rows predict DNA-binding residues well on known DBPs but the same models cannot be applied ...
Neural Networks, Computer Animals Mice DNA Humans Protein Conformation Binding Sites Arabidopsis Proteins Arabidopsis Amino Acids DNA-Binding Proteins Models, Biological
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