AIMC Topic: Animals

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Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy.

Nature communications Jan 2, 2025
Optical aberrations hinder fluorescence microscopy of thick samples, reducing image signal, contrast, and resolution. Here we introduce a deep learning-based strategy for aberration compensation, improving image quality without slowing image acquisit...
Caenorhabditis elegans Neural Networks, Computer Mice Animals Microscopy, Confocal Deep Learning Microscopy, Fluorescence Image Processing, Computer-Assisted
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Acquisition of similar properties by filters in the same stream of a multistream convolutional neural network.

Scientific reports Jan 2, 2025
Functional modular organization is observed in a variety of cortical areas in the brain. In the visual cortex of primates, adjacent neurons often respond to the same visual submodality, such as color or orientation, and have a similar preferred orien...
Photic Stimulation Visual Cortex Animals Neurons Neural Networks, Computer
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Machine learning-based analysis of microfluidic device immobilized C. elegans for automated developmental toxicity testing.

Scientific reports Jan 2, 2025
Developmental toxicity (DevTox) tests evaluate the adverse effects of chemical exposures on an organism's development. Although current testing primarily relies on large mammalian models, the emergence of new approach methodologies (NAMs) is encourag...
Animals Image Processing, Computer-Assisted Machine Learning Caenorhabditis elegans Toxicity Tests Lab-On-A-Chip Devices
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Deep learning-based discovery of compounds for blood pressure lowering effects.

Scientific reports Jan 2, 2025
The hypotensive side effects caused by drugs during their use have been a vexing issue. Recent studies have found that deep learning can effectively predict the biological activity of compounds by mining patterns and rules in the data, providing a po...
Antihypertensive Agents Dogs Molecular Docking Simulation Drug Discovery Hypertension Deep Learning Humans Blood Pressure Animals
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ChromatinHD connects single-cell DNA accessibility and conformation to gene expression through scale-adaptive machine learning.

Nature communications Jan 2, 2025
Gene regulation is inherently multiscale, but scale-adaptive machine learning methods that fully exploit this property in single-nucleus accessibility data are still lacking. Here, we develop ChromatinHD, a pair of scale-adaptive models that uses the...
Nucleic Acid Conformation Regulatory Sequences, Nucleic Acid DNA Gene Expression Regulation Chromatin Chromatin Immunoprecipitation Sequencing Animals Single-Cell Analysis Computational Biology Transcription Factors Mice Humans Machine Learning
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Functional antimicrobial peptide-loaded 3D scaffolds for infected bone defect treatment with AI and multidimensional printing.

Materials horizons Jan 2, 2025
Infection is the most prevalent complication of fractures, particularly in open fractures, and often leads to severe consequences. The emergence of bacterial resistance has significantly exacerbated the burden of infection in clinical practice, makin...
Antimicrobial Peptides Artificial Intelligence Printing, Three-Dimensional Humans Anti-Bacterial Agents Tissue Scaffolds Animals
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Unsupervised Domain Adaptation for EM Image Denoising With Invertible Networks.

IEEE transactions on medical imaging Jan 2, 2025
Electron microscopy (EM) image denoising is critical for visualization and subsequent analysis. Despite the remarkable achievements of deep learning-based non-blind denoising methods, their performance drops significantly when domain shifts exist bet...
Algorithms Brain Animals Humans Mice Deep Learning Unsupervised Machine Learning Signal-To-Noise Ratio Image Processing, Computer-Assisted
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Neural networks through the lens of evolutionary dynamics.

Bio Systems Jan 1, 2025
This article revisits Artificial Neural Networks (NNs) through the lens of Evolutionary Dynamics. The two most important features of NNs are shown to reflect the two most general processes of Evolutionary Dynamics. This overlap may serve as a new and...
Animals Biological Evolution Humans Neural Networks, Computer
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Deep learning-enabled filter-free fluorescence microscope.

Science advances Jan 1, 2025
Optical filtering is an indispensable part of fluorescence microscopy for selectively highlighting molecules labeled with a specific fluorophore and suppressing background noise. However, the utilization of optical filtering sets increases the comple...
Humans Animals Deep Learning Microscopy, Fluorescence Image Processing, Computer-Assisted Fluorescent Dyes
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Efficient and stable extraction of nano-sized plastic particles enabled by bio-inspired magnetic "robots" in water.

Environmental pollution (Barking, Essex : 1987) Dec 31, 2024
In this research, a rationally-designed strategy was employed to address the crucial issue of removing nano-plastics (NPs) from aquatic environments, which was based on fabricating sea urchin-like structures of FeO magnetic robots (MagRobots). Throug...
Adsorption Robotics Plastics Nanoparticles Water Purification Water Pollutants, Chemical Animals
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