Recent advancements in deep learning have transformed the analysis of blood cell images and the classification of leukemia. By employing complex neural network architectures, such as convolutional ...
The CytoDiffusion classifier analyses the shape and structure of blood cells to detect abnormalities that may indicate blood ...
This article is based on a poster originally authored by Barbie Wang, Maria Giebler, Adrian Freeman, Karen Hogg, Adam Corrigan and Hitesh Sanganee. This poster is being hosted on this website in its ...
Single-cell sequencing provides unprecedented detail into cell-to-cell variability, uncovering key biological mechanisms in ...
Angus Chen covers all issues broadly related to cancer including drugs, policy, science, and equity. He joined STAT in 2021 after covering health and science at NPR and NPR affiliate stations. His ...
BD said all configurations feature high-throughput automation and software designed for large dataset management and ...
This technical note explores how microcarrier-based multiplexing enhances throughput and precision in phenotypic assays while ...
For years, Yale researchers David Breslow and Mustafa Khokha have worked together with a similar challenge in their ...
An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...
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