AIMC Topic: Mice

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VBNet: An end-to-end 3D neural network for vessel bifurcation point detection in mesoscopic brain images.

Computer methods and programs in biomedicine Dec 2, 2021
BACKGROUND AND OBJECTIVE: Accurate detection of vessel bifurcation points from mesoscopic whole-brain images plays an important role in reconstructing cerebrovascular networks and understanding the pathogenesis of brain diseases. Existing detection m...
Image Processing, Computer-Assisted Mice Brain Animals Imaging, Three-Dimensional Neural Networks, Computer
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Deep neural network for the determination of transformed foci in Bhas 42 cell transformation assay.

Scientific reports Dec 2, 2021
Bhas 42 cell transformation assay (CTA) has been used to estimate the carcinogenic potential of chemicals by exposing Bhas 42 cells to carcinogenic stimuli to form colonies, referred to as transformed foci, on the confluent monolayer. Transformed foc...
Neural Networks, Computer Biological Assay Cell Transformation, Neoplastic Carcinogens BALB 3T3 Cells Animals Image Processing, Computer-Assisted Mice
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Aligned Organization of Synapses and Mitochondria in Auditory Hair Cells.

Neuroscience bulletin Nov 27, 2021
Recent studies have revealed great functional and structural heterogeneity in the ribbon-type synapses at the basolateral pole of the isopotential inner hair cell (IHC). This feature is believed to be critical for audition over a wide dynamic range, ...
Hair Cells, Auditory, Inner Mitochondria Artificial Intelligence Synapses Cochlea Animals Mice
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Multiview confocal super-resolution microscopy.

Nature Nov 26, 2021
Confocal microscopy remains a major workhorse in biomedical optical microscopy owing to its reliability and flexibility in imaging various samples, but suffers from substantial point spread function anisotropy, diffraction-limited resolution, depth-d...
Organ Specificity Drosophila melanogaster Humans Tissue Fixation Mice Caenorhabditis elegans Animals Imaginal Discs Deep Learning Microscopy, Confocal Cell Line, Tumor Myoblasts Single-Cell Analysis
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Discovery of Pyrazolo[3,4-]pyridazinone Derivatives as Selective DDR1 Inhibitors via Deep Learning Based Design, Synthesis, and Biological Evaluation.

Journal of medicinal chemistry Nov 25, 2021
Alterations of discoidin domain receptor1 (DDR1) may lead to increased production of inflammatory cytokines, making DDR1 an attractive target for inflammatory bowel disease (IBD) therapy. A scaffold-based molecular design workflow was established and...
Colitis Discoidin Domain Receptor 1 Pyrazolones Protein Kinase Inhibitors Pyridazines Dextran Sulfate Deep Learning Mice Animals Mice, Inbred C57BL Drug Design Mice, Inbred ICR Drug Discovery Anti-Inflammatory Agents Drug Screening Assays, Antitumor Humans Molecular Structure
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Automating cell counting in fluorescent microscopy through deep learning with c-ResUnet.

Scientific reports Nov 25, 2021
Counting cells in fluorescent microscopy is a tedious, time-consuming task that researchers have to accomplish to assess the effects of different experimental conditions on biological structures of interest. Although such objects are generally easy t...
Microscopy, Fluorescence Image Processing, Computer-Assisted Automation, Laboratory Animals Brain Mice Neurons Deep Learning Reproducibility of Results Cell Count
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Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning.

Journal of neuroscience methods Nov 22, 2021
BACKGROUND: Wide-field calcium imaging (WFCI) allows for monitoring of cortex-wide neural dynamics in mice. When applied to the study of sleep, WFCI data are manually scored into the sleep states of wakefulness, non-REM (NREM) and REM by use of adjun...
Animals Deep Learning Mice Electroencephalography Calcium Wakefulness Reproducibility of Results Sleep Sleep Stages
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Manifold learning analysis suggests strategies to align single-cell multimodal data of neuronal electrophysiology and transcriptomics.

Communications biology Nov 19, 2021
Recent single-cell multimodal data reveal multi-scale characteristics of single cells, such as transcriptomics, morphology, and electrophysiology. However, integrating and analyzing such multimodal data to deeper understand functional genomics and ge...
Electrophysiological Phenomena Mice Neurons Electrophysiology Machine Learning Brain Animals Gene Expression Profiling Transcriptome Single-Cell Analysis
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Imaging flow cytometry data analysis using convolutional neural network for quantitative investigation of phagocytosis.

Biotechnology and bioengineering Nov 18, 2021
Macrophages play an important role in the adaptive immune system. Their ability to neutralize cellular targets through Fc receptor-mediated phagocytosis has relied upon immunotherapy that has become of particular interest for the treatment of cancer ...
Image Processing, Computer-Assisted Mice Flow Cytometry Macrophages, Peritoneal Phagocytosis Neural Networks, Computer Erythrocytes Algorithms Animals
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Open-source deep learning-based automatic segmentation of mouse Schlemm's canal in optical coherence tomography images.

Experimental eye research Nov 16, 2021
The purpose of this study was to develop an automatic deep learning-based approach and corresponding free, open-source software to perform segmentation of the Schlemm's canal (SC) lumen in optical coherence tomography (OCT) scans of living mouse eyes...
Neural Networks, Computer Algorithms Mice Mice, Inbred C57BL Tomography, Optical Coherence Anterior Eye Segment Intraocular Pressure Animals Deep Learning Glaucoma, Open-Angle Tonometry, Ocular Sclera
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