AIMC Topic: Mice

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Enhancer recognition and prediction during spermatogenesis based on deep convolutional neural networks.

Molecular omics Jun 22, 2020
MOTIVATION: enhancers play an important role in the regulation of gene expression during spermatogenesis. The development of ChIP-Chip and ChIP-Seq sequencing technology has enabled researchers to focus on the relationship between enhancers and DNA s...
Binding Sites Genome Enhancer Elements, Genetic Internet Base Sequence Spermatogenesis Mice Support Vector Machine Databases, Genetic Male Deep Learning Neural Networks, Computer Animals
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Deep Learning of Cancer Stem Cell Morphology Using Conditional Generative Adversarial Networks.

Biomolecules Jun 19, 2020
Deep-learning workflows of microscopic image analysis are sufficient for handling the contextual variations because they employ biological samples and have numerous tasks. The use of well-defined annotated images is important for the workflow. Cancer...
Female Animals Mice Neoplastic Stem Cells Optical Imaging Mice, Nude Deep Learning Tumor Cells, Cultured Mice, Inbred BALB C Image Processing, Computer-Assisted Green Fluorescent Proteins Lung Neoplasms
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DDeep3M: Docker-powered deep learning for biomedical image segmentation.

Journal of neuroscience methods Jun 18, 2020
BACKGROUND: Deep learning models are turning out to be increasingly popular in biomedical image processing. The fruitful utilization of these models, in most cases, is substantially restricted by the complicated configuration of computational environ...
Image Processing, Computer-Assisted Mice Magnetic Resonance Imaging Deep Learning Imaging, Three-Dimensional Brain Neoplasms Animals
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Automated Recognition of Retinal Pigment Epithelium Cells on Limited Training Samples Using Neural Networks.

Translational vision science & technology Jun 16, 2020
PURPOSE: To develop a neural network (NN)-based approach, with limited training resources, that identifies and counts the number of retinal pigment epithelium (RPE) cells in confocal microscopy images obtained from cell culture or mice RPE/choroid fl...
Animals Mice Microscopy, Confocal Choroid Retinal Pigment Epithelium Neural Networks, Computer
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Real-Time Selective Markerless Tracking of Forepaws of Head Fixed Mice Using Deep Neural Networks.

eNeuro Jun 15, 2020
Here, we describe a system capable of tracking specific mouse paw movements at high frame rates (70.17 Hz) with a high level of accuracy (mean=0.95, SD<0.01). Short-latency markerless tracking of specific body parts opens up the possibility of manipu...
Behavior, Animal Movement Neural Networks, Computer Software Animals Mice
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Prediction of Protein-Protein Interactions with Local Weight-Sharing Mechanism in Deep Learning.

BioMed research international Jun 13, 2020
Protein-protein interactions (PPIs) are important for almost all cellular processes, including metabolic cycles, DNA transcription and replication, and signaling cascades. The experimental methods for identifying PPIs are always time-consuming and ex...
Escherichia coli Proteins Databases, Protein Protein Interaction Maps Protein Interaction Mapping Humans Saccharomyces cerevisiae Mice Animals Computational Biology Deep Learning Caenorhabditis elegans
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Determinants of Base Editing Outcomes from Target Library Analysis and Machine Learning.

Cell Jun 12, 2020
Although base editors are widely used to install targeted point mutations, the factors that determine base editing outcomes are not well understood. We characterized sequence-activity relationships of 11 cytosine and adenine base editors (CBEs and AB...
Humans Machine Learning Animals Mice Point Mutation RNA, Guide, CRISPR-Cas Systems Gene Editing Gene Library Mouse Embryonic Stem Cells
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High-quality photoacoustic image reconstruction based on deep convolutional neural network: towards intra-operative photoacoustic imaging.

Biomedical physics & engineering express Jun 12, 2020
The use of intra-operative imaging system as an intervention solution to provide more accurate localization of complicated structures has become a necessity during the neurosurgery. However, due to the limitations of conventional imaging systems, hig...
Phantoms, Imaging Photoacoustic Techniques Diagnostic Imaging Humans Artifacts Deep Learning Neural Networks, Computer Algorithms Signal-To-Noise Ratio Time Factors Image Processing, Computer-Assisted Brain Mice Animals
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Distinct signals in medial and lateral VTA dopamine neurons modulate fear extinction at different times.

eLife Jun 10, 2020
Dopamine (DA) neurons are to encode reward prediction error (RPE), in addition to other signals, such as salience. While RPE is known to support learning, the role of salience in learning remains less clear. To address this, we recorded and manipulat...
Learning Animals Dopaminergic Neurons Ventral Tegmental Area Reward Extinction, Psychological Optogenetics Male Photometry Deep Learning Anticipation, Psychological Mice Freezing Fear
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A Coupled FEM-SPH Modeling Technique to Investigate the Contractility of Biohybrid Thin Films.

Advanced biosystems Jun 9, 2020
Biohybrid actuators have the potential to overcome the limitations of traditional actuators employed in robotics, thanks to the unique features of living contractile muscle cells, which can be used to power artificial elements. This paper describes a...
Muscle, Skeletal Robotics Dimethylpolysiloxanes Myoblasts Animals Mice Cell Line Hydrostatic Pressure Muscle Contraction Membranes, Artificial Humans Finite Element Analysis Polyesters Tissue Engineering Muscle Fibers, Skeletal
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