AIMC Topic: Microscopy

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Computer Viewing Model for Classification of Erythrocytes Infected with spp. Applied to Malaria Diagnosis Using Optical Microscope.

Medicina (Kaunas, Lithuania) May 21, 2025
Malaria is a disease that can result in a variety of complications. Diagnosis is carried out by an optical microscope and depends on operator experience. The use of artificial intelligence to identify morphological patterns in erythrocytes would imp...
Microscopy Erythrocytes Plasmodium Algorithms Malaria Humans Neural Networks, Computer Machine Learning
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Light-microscopy-based connectomic reconstruction of mammalian brain tissue.

Nature May 7, 2025
The information-processing capability of the brain's cellular network depends on the physical wiring pattern between neurons and their molecular and functional characteristics. Mapping neurons and resolving their individual synaptic connections can b...
Male Deep Learning Mice Brain Female Animals Microscopy Neurons Synapses Hydrogels Connectome
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Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 24, 2025
Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and with a resolution on the order of ten microns. ULM is based on the sub-resolution localization of individual micro...
Imaging, Three-Dimensional Animals Neural Networks, Computer Microbubbles Deep Learning Microscopy Algorithms Ultrasonography
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Tissue Clutter Filtering Methods in Ultrasound Localization Microscopy Based on Complex-Valued Networks and Knowledge Distillation.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Apr 22, 2025
Ultrasound localization microscopy (ULM) is a blood flow imaging technique that utilizes micrometer-sized microbubbles (MBs) as contrast agents to achieve high-resolution microvessel reconstruction through precise localization and tracking of MBs. Th...
Animals Deep Learning Ultrasonography Image Processing, Computer-Assisted Contrast Media Neural Networks, Computer Algorithms Phantoms, Imaging Microscopy Microvessels Microbubbles
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Scale selection and machine learning based cell segmentation and tracking in time lapse microscopy.

Scientific reports Apr 5, 2025
Monitoring and tracking of cell motion is a key component for understanding disease mechanisms and evaluating the effects of treatments. Time-lapse optical microscopy has been commonly employed for studying cell cycle phases. However, usual manual ce...
Time-Lapse Imaging Humans Microscopy Reproducibility of Results Cell Tracking Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Cell Movement Algorithms
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Prior Visual-Guided Self-Supervised Learning Enables Color Vignetting Correction for High-Throughput Microscopic Imaging.

IEEE journal of biomedical and health informatics Apr 4, 2025
Vignetting constitutes a prevalent optical degradation that significantly compromises the quality of biomedical microscopic imaging. However, a robust and efficient vignetting correction methodology in multi-channel microscopic images remains absent ...
Microscopy Algorithms Animals Deep Learning Image Processing, Computer-Assisted Color Supervised Machine Learning Humans
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C2BNet: A Deep Learning Architecture With Coupled Composite Backbone for Parasitic Egg Detection in Microscopic Images.

IEEE journal of biomedical and health informatics Apr 4, 2025
Internet of Medical Things (IoMT) enabled by artificial intelligence (AI) technologies can facilitate automatic diagnosis and management of chronic diseases (e.g., intestinal parasitic infection) based on 2D microscopic images. To improve model perfo...
Microscopy Image Interpretation, Computer-Assisted Animals Deep Learning Image Processing, Computer-Assisted Humans
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ULST: U-shaped LeWin Spectral Transformer for virtual staining of pathological sections.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 28, 2025
At present, pathological section staining faces several challenges, including complex sample preparation and stringent infrastructure requirements. Virtual staining methods utilizing deep neural networks to automatically generate stained images are g...
Humans Microscopy Hyperspectral Imaging Hematoxylin Neural Networks, Computer Image Processing, Computer-Assisted Staining and Labeling
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Stability of Jurkat cells during short-term liquid storage analyzed by flow imaging microscopy.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V Mar 26, 2025
The viability of cell-based medicinal products (CBMPs) is a critical quality attribute and must be assessed throughout the product lifecycle to contribute to a safe and potent drug product. In this study, we investigated the impact of short-term liqu...
Humans Drug Storage Temperature Jurkat Cells Culture Media Time Factors Dimethyl Sulfoxide Cell Survival Microscopy Flow Cytometry
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SegElegans: Instance segmentation using dual convolutional recurrent neural network decoder in Caenorhabditis elegans microscopic images.

Computers in biology and medicine Mar 21, 2025
Caenorhabditis elegans is a great model for exploring organismal, cellular, and subcellular biology through optical and fluorescence microscopy, with its research applications steadily expanding. However, manual processing of numerous microscopic ima...
Caenorhabditis elegans Recurrent Neural Networks Image Processing, Computer-Assisted Microscopy Neural Networks, Computer Animals
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