AIMC Topic: Cell Nucleus

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Clustering cell nuclei on microgrooves for disease diagnosis using deep learning.

Scientific reports Jul 2, 2025
Various diseases including laminopathies and certain types of cancer are associated with abnormal nuclear mechanical properties that influence cellular and nuclear deformations in complex environments. Recently, microgroove substrates designed to mim...
Humans Deep Learning Image Processing, Computer-Assisted Myoblasts Cluster Analysis Cell Nucleus Mutation Lamin Type A
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Machine learning to detect melanoma exploiting nuclei morphology and Spatial organization.

Scientific reports Jul 1, 2025
Cutaneous melanoma is one of the most lethal forms of skin cancer, and its incidence is increasing globally. Its diagnosis typically relies on manual histopathological examination, a process that is both complex and time consuming. In this study, we ...
Image Processing, Computer-Assisted Cell Nucleus Humans Melanoma Skin Neoplasms Machine Learning
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Quantitative benchmarking of nuclear segmentation algorithms in multiplexed immunofluorescence imaging for translational studies.

Communications biology May 30, 2025
Multiplexed imaging techniques require identifying different cell types in the tissue. To utilize their potential for cellular and molecular analysis, high throughput and accurate analytical approaches are needed in parsing vast amounts of data, part...
Benchmarking Translational Research, Biomedical Cell Nucleus Algorithms Image Processing, Computer-Assisted Fluorescent Antibody Technique Humans
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The Role of Hydrogen Sulfide in the Localization and Structural-Functional Organization of p53 Following Traumatic Brain Injury: Development of a YOLO Model for Detection and Quantification of Apoptotic Nuclei.

International journal of molecular sciences May 24, 2025
Traumatic brain injury (TBI) triggers a cascade of molecular and cellular disturbances, including apoptosis, inflammation, and destabilization of neuronal connections. The transcription factor p53 plays a pivotal role in regulating cell fate followin...
Neurons Tumor Suppressor Protein p53 Hydrogen Sulfide Cell Nucleus Apoptosis Astrocytes Brain Injuries, Traumatic Disease Models, Animal Male Rats Animals
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MLDA-Net: Multi-Level Deep Aggregation Network for 3D Nuclei Instance Segmentation.

IEEE journal of biomedical and health informatics May 6, 2025
Segmentation of cell nuclei from three-dimensional (3D) volumetric fluorescence microscopy images is crucial for biological and clinical analyses. In recent years, convolutional neural networks have become the reliable 3D medical image segmentation s...
Microscopy, Fluorescence Cell Nucleus Algorithms Deep Learning Humans Imaging, Three-Dimensional Neural Networks, Computer
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Predicting cell cycle stage from 3D single-cell nuclear-stained images.

Life science alliance Apr 3, 2025
The cell cycle governs the proliferation of all eukaryotic cells. Profiling cell cycle dynamics is therefore central to basic and biomedical research. However, current approaches to cell cycle profiling involve complex interventions that may confound...
Neural Networks, Computer Machine Learning Single-Cell Analysis Humans Cell Cycle Support Vector Machine Microscopy, Fluorescence Cell Nucleus Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Advancements in automated nuclei segmentation for histopathology using you only look once-driven approaches: A systematic review.

Computers in biology and medicine Mar 25, 2025
Histopathology image analysis plays a pivotal role in disease diagnosis and treatment planning, relying heavily on accurate nuclei segmentation for extracting vital cellular information. In recent years, artificial intelligence (AI) and in particular...
Image Interpretation, Computer-Assisted Cell Nucleus Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images.

Computers in biology and medicine Mar 21, 2025
We introduce an end-to-end framework for the automated visual annotation of histopathology whole slide images. Our method integrates deep learning models to achieve precise localization and classification of cell nuclei with spatial data aggregation ...
Humans Image Interpretation, Computer-Assisted Cell Nucleus Deep Learning Image Processing, Computer-Assisted
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Deep learning prioritizes cancer mutations that alter protein nucleocytoplasmic shuttling to drive tumorigenesis.

Nature communications Mar 14, 2025
Genetic variants can affect protein function by driving aberrant subcellular localization. However, comprehensive analysis of how mutations promote tumor progression by influencing nuclear localization is currently lacking. Here, we systematically ch...
Cell Nucleus Humans Carcinogenesis Neoplasms PTEN Phosphohydrolase Nuclear Localization Signals Deep Learning Mutation Active Transport, Cell Nucleus Cytoplasm
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SEPO-FI: Deep-learning based software to calculate fusion index of muscle cells.

Computers in biology and medicine Jan 24, 2025
The fusion index is a critical metric for quantitatively assessing the transformation of in vitro muscle cells into myotubes in the biological and medical fields. Traditional methods for calculating this index manually involve the labor-intensive cou...
Image Processing, Computer-Assisted Cell Nucleus Muscle Fibers, Skeletal Humans Software Animals Deep Learning
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