AIMC Topic: Mice, Inbred C57BL

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Proof of Concept for a Deep Learning Algorithm for Identification and Quantification of Key Microscopic Features in the Murine Model of DSS-Induced Colitis.

Toxicologic pathology Feb 12, 2021
Inflammatory bowel disease (IBD) is a complex disease which leads to life-threatening complications and decreased quality of life. The dextran sulfate sodium (DSS) colitis model in mice is known for rapid screening of candidate compounds. Efficacy as...
Artificial Intelligence Mice Disease Models, Animal Mice, Inbred C57BL Dextran Sulfate Colitis Animals Colon Quality of Life Deep Learning
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DeepLabStream enables closed-loop behavioral experiments using deep learning-based markerless, real-time posture detection.

Communications biology Jan 29, 2021
In general, animal behavior can be described as the neuronal-driven sequence of reoccurring postures through time. Most of the available current technologies focus on offline pose estimation with high spatiotemporal resolution. However, to correlate ...
Head Movements Optogenetics Conditioning, Classical Behavior, Animal Olfactory Perception Thalamus Photic Stimulation Animals Deep Learning Mice, Inbred C57BL Light Odorants Video Recording Smell Time Factors Image Processing, Computer-Assisted Mice Posture
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Manipulation of Single Neural Stem Cells and Neurons in Brain Slices using Robotic Microinjection.

Journal of visualized experiments : JoVE Jan 21, 2021
A central question in developmental neurobiology is how neural stem and progenitor cells form the brain. To answer this question, one needs to label, manipulate, and follow single cells in the brain tissue with high resolution over time. This task is...
Tissue Culture Techniques Microinjections Neural Stem Cells Robotics Neurons Automation Fluorescent Antibody Technique Brain Animals Single-Cell Analysis Mice Mice, Inbred C57BL
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Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases.

NeuroImage Jan 14, 2021
Skull-stripping and region segmentation are fundamental steps in preclinical magnetic resonance imaging (MRI) studies, and these common procedures are usually performed manually. We present Multi-task U-Net (MU-Net), a convolutional neural network de...
Brain Image Processing, Computer-Assisted Neural Networks, Computer Mice Databases, Factual Female Animals Male Magnetic Resonance Imaging Mice, Inbred C57BL Skull
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A novel retinal ganglion cell quantification tool based on deep learning.

Scientific reports Jan 12, 2021
Glaucoma is a disease associated with the loss of retinal ganglion cells (RGCs), and remains one of the primary causes of blindness worldwide. Major research efforts are presently directed towards the understanding of disease pathogenesis and the dev...
Mice Mice, Inbred C57BL Cell Count Retinal Ganglion Cells Glaucoma Software Animals Deep Learning
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Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.

Cell Dec 16, 2020
Serotonin plays a central role in cognition and is the target of most pharmaceuticals for psychiatric disorders. Existing drugs have limited efficacy; creation of improved versions will require better understanding of serotonergic circuitry, which ha...
Directed Molecular Evolution Serotonin Photons Amygdala Serotonin Plasma Membrane Transport Proteins Sleep Linear Models HEK293 Cells Behavior, Animal Binding Sites Mice, Inbred C57BL Kinetics Amino Acid Sequence Wakefulness Algorithms Brain Animals Protein Binding Mice Humans Machine Learning
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Cellpose: a generalist algorithm for cellular segmentation.

Nature methods Dec 14, 2020
Many biological applications require the segmentation of cell bodies, membranes and nuclei from microscopy images. Deep learning has enabled great progress on this problem, but current methods are specialized for images that have large training datas...
Humans Neural Networks, Computer Software Algorithms Image Processing, Computer-Assisted Mice Mice, Inbred C57BL Neurons Cell Nucleus Female Animals Male Deep Learning
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Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease.

Science (New York, N.Y.) Dec 10, 2020
Mapping the gene-regulatory networks dysregulated in human disease would allow the design of network-correcting therapies that treat the core disease mechanism. However, small molecules are traditionally screened for their effects on one to several o...
Induced Pluripotent Stem Cells Receptor, Notch1 Haploinsufficiency Aortic Valve Disease Drug Evaluation, Preclinical Thiazoles Gene Expression Regulation Nitriles Small Molecule Libraries Mice, Inbred C57BL Calcinosis Aortic Valve Stenosis Aortic Valve Humans Machine Learning Algorithms Animals Drug Discovery RNA-Seq Gene Regulatory Networks Mice Disease Models, Animal
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Impact of chronic intermittent hypoxia on the long non-coding RNA and mRNA expression profiles in myocardial infarction.

Journal of cellular and molecular medicine Nov 20, 2020
Chronic intermittent hypoxia (CIH) is the primary feature of obstructive sleep apnoea (OSA), a crucial risk factor for cardiovascular diseases. Long non-coding RNAs (lncRNAs) in myocardial infarction (MI) pathogenesis have drawn considerable attentio...
Animals Myocardial Infarction RNA, Messenger Male Hypoxia Disease Models, Animal Gene Ontology Echocardiography Mice, Inbred C57BL RNA, Long Noncoding Blotting, Western Mice
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Deep learning-enabled multi-organ segmentation in whole-body mouse scans.

Nature communications Nov 6, 2020
Whole-body imaging of mice is a key source of information for research. Organ segmentation is a prerequisite for quantitative analysis but is a tedious and error-prone task if done manually. Here, we present a deep learning solution called AIMOS that...
Kidney Mice, Inbred C57BL Liver Spleen X-Ray Microtomography Lung Deep Learning Image Processing, Computer-Assisted Mice Whole Body Imaging Animal Structures Algorithms Brain Female Reproducibility of Results Animals Male
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