AIMC Topic: Mice
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Automated characterisation of microglia in ageing mice using image processing and supervised machine learning algorithms.
Scientific reports
Feb 2, 2022
The resident macrophages of the central nervous system, microglia, are becoming increasingly implicated as active participants in neuropathology and ageing. Their diverse and changeable morphology is tightly linked with functions they perform, enabli...
Automatic mapping of multiplexed social receptive fields by deep learning and GPU-accelerated 3D videography.
Nature communications
Feb 1, 2022
Social interactions powerfully impact the brain and the body, but high-resolution descriptions of these important physical interactions and their neural correlates are lacking. Currently, most studies rely on labor-intensive methods such as manual an...
Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genome.
Methods (San Diego, Calif.)
Jan 31, 2022
DNA N4-methylcytosine (4mC) is an important DNA modification and plays a crucial role in a variety of biological processes. Accurate 4mC site identification is fundamental to improving the understanding of 4mC biological functions and mechanisms. How...
Automated procedure to assess pup retrieval in laboratory mice.
Scientific reports
Jan 31, 2022
All mammalian mothers form some sort of caring bond with their infants that is crucial to the development of their offspring. The Pup Retrieval Test (PRT) is the leading procedure to assess pup-directed maternal care in laboratory rodents, used in a ...
Integrated deep learning framework for accelerated optical coherence tomography angiography.
Scientific reports
Jan 25, 2022
Label-free optical coherence tomography angiography (OCTA) has become a premium imaging tool in clinics to obtain structural and functional information of microvasculatures. One primary technical drawback for OCTA, however, is its imaging speed. The ...
Label-free imaging flow cytometry for analysis and sorting of enzymatically dissociated tissues.
Scientific reports
Jan 19, 2022
Biomedical research relies on identification and isolation of specific cell types using molecular biomarkers and sorting methods such as fluorescence or magnetic activated cell sorting. Labelling processes potentially alter the cells' properties and ...
Light-driven carbon nitride microswimmers with propulsion in biological and ionic media and responsive on-demand drug delivery.
Science robotics
Jan 19, 2022
We propose two-dimensional poly(heptazine imide) (PHI) carbon nitride microparticles as light-driven microswimmers in various ionic and biological media. Their high-speed (15 to 23 micrometer per second; 9.5 ± 5.4 body lengths per second) swimming in...
The Anti-Adiposity Mechanisms of Ampelopsin and Vine Tea Extract in High Fat Diet and Alcohol-Induced Fatty Liver Mouse Models.
Molecules (Basel, Switzerland)
Jan 18, 2022
(AG) is an ancient medicinal plant that is mainly distributed and used in southwest China. It exerts therapeutic effects, such as antioxidant, anti-diabetic, and anti-inflammatory activities, reductions in blood pressure and cholesterol and hepatopr...
Rapid video-based deep learning of cognate versus non-cognate T cell-dendritic cell interactions.
Scientific reports
Jan 11, 2022
Identification of cognate interactions between antigen-specific T cells and dendritic cells (DCs) is essential to understanding immunity and tolerance, and for developing therapies for cancer and autoimmune diseases. Conventional techniques for selec...
Discovering cell types using manifold learning and enhanced visualization of single-cell RNA-Seq data.
Scientific reports
Jan 7, 2022
Identifying relevant disease modules such as target cell types is a significant step for studying diseases. High-throughput single-cell RNA-Seq (scRNA-seq) technologies have advanced in recent years, enabling researchers to investigate cells individu...
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