AIMC Topic: Mice

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AI-powered transmitted light microscopy for functional analysis of live cells.

Scientific reports Dec 5, 2019
Transmitted light microscopy can readily visualize the morphology of living cells. Here, we introduce artificial-intelligence-powered transmitted light microscopy (AIM) for subcellular structure identification and labeling-free functional analysis of...
Cell Line, Tumor Mice Microscopy, Fluorescence Female Intravital Microscopy Humans Animals Neural Networks, Computer Primary Cell Culture Dendritic Cells Organelles
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Deep learning enables pathologist-like scoring of NASH models.

Scientific reports Dec 5, 2019
Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic steatohepatitis (NASH) are diseases of major importance with a high unmet medical need. Efficacy studies on novel compounds to treat NAFLD/NASH using disease models a...
Image Processing, Computer-Assisted Mice Rats Animals Severity of Illness Index Deep Learning Feasibility Studies Microscopy Disease Models, Animal Humans Non-alcoholic Fatty Liver Disease Datasets as Topic Liver Biopsy
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Soft Ring-Shaped Cellu-Robots with Simultaneous Locomotion in Batches.

Advanced materials (Deerfield Beach, Fla.) Nov 27, 2019
Untethered mini-robots can move single cells or aggregates to build complex constructs in confined spaces and may enable various biomedical applications such as regenerative repair in medicine and biosensing in bioengineering. However, a significant ...
Tissue Scaffolds Hydrogels Extracellular Matrix NIH 3T3 Cells Cell Survival Robotics Models, Biological Animals Mice
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Fast fit-free analysis of fluorescence lifetime imaging via deep learning.

Proceedings of the National Academy of Sciences of the United States of America Nov 12, 2019
Fluorescence lifetime imaging (FLI) provides unique quantitative information in biomedical and molecular biology studies but relies on complex data-fitting techniques to derive the quantities of interest. Herein, we propose a fit-free approach in FLI...
Mice, Nude Cell Line Optical Imaging Humans Female Image Processing, Computer-Assisted Mice Animals Deep Learning
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Automated CT-derived skeletal muscle mass determination in lower hind limbs of mice using a 3D U-Net deep learning network.

Journal of applied physiology (Bethesda, Md. : 1985) Nov 7, 2019
The loss of skeletal muscle mass is recognized as a complication of several chronic diseases and is associated with increased mortality and a decreased quality of life. Relevant and reliable animal models in which muscle wasting can be monitored noni...
Algorithms Tomography, X-Ray Computed Female Imaging, Three-Dimensional Mice Lower Extremity Muscle, Skeletal Animals Male Deep Learning Muscular Diseases
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MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks.

Scientific reports Oct 31, 2019
Automated sleep stage scoring for mice is in high demand for sleep research, since manual scoring requires considerable human expertise and efforts. The existing automated scoring methods do not provide the scoring accuracy required for practical use...
Polysomnography Sleep Stages Male Neural Networks, Computer Mice Databases, Factual Electroencephalography Animals
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A deep learning framework to predict binding preference of RNA constituents on protein surface.

Nature communications Oct 30, 2019
Protein-RNA interaction plays important roles in post-transcriptional regulation. However, the task of predicting these interactions given a protein structure is difficult. Here we show that, by leveraging a deep learning model NucleicNet, attributes...
Area Under Curve Cytosine RNA, Small Interfering Ribose RNA Animals Humans Protein Binding Deep Learning Gene Knockdown Techniques Mice Phosphates ROC Curve Ribonuclease III Adenine RNA-Binding Proteins Uracil Argonaute Proteins Guanine
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Comprehensive anatomic ontologies for lung development: A comparison of alveolar formation and maturation within mouse and human lung.

Journal of biomedical semantics Oct 24, 2019
BACKGROUND: Although the mouse is widely used to model human lung development, function, and disease, our understanding of the molecular mechanisms involved in alveolarization of the peripheral lung is incomplete. Recently, the Molecular Atlas of Lun...
Pulmonary Alveoli Animals Mice Biological Ontologies Humans
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Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics.

Nature methods Oct 14, 2019
We engineered light-gated channelrhodopsins (ChRs) whose current strength and light sensitivity enable minimally invasive neuronal circuit interrogation. Current ChR tools applied to the mammalian brain require intracranial surgery for transgene deli...
Humans Machine Learning Mice, Inbred C57BL HEK293 Cells Animals Mice Protein Engineering Optogenetics Channelrhodopsins
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Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images.

IEEE transactions on medical imaging Oct 9, 2019
We present an Unsupervised Domain Adaptation strategy to compensate for domain shifts on Electron Microscopy volumes. Our method aggregates visual correspondences-motifs that are visually similar across different acquisitions-to infer changes on the ...
Image Processing, Computer-Assisted Algorithms Mitochondria Mice Brain Microscopy, Electron Unsupervised Machine Learning Animals
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