This article describes a new method (VS-FPM) for analysis of unstained tissues based on the application of supervised machine learning to generate brightfield hematoxylin and eosin (H&E) images from ...
Fast, gentle, and highly specific glycoprotein labeling compatible with downstream immunofluorescence, enabled by ...
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AI-powered staining in microbiology: Researchers introduce virtual Gram staining of label-free bacteria
A team of researchers at the University of California, Los Angeles (UCLA) has introduced a virtual Gram staining technique that could transform how microbiologists stain and classify bacteria. This ...
Sensing: point-of-care sensors, mobile-phone enabled sensors, field-based sensing and measurement systems with applications in mobile health and telemedicine, environmental monitoring (for example, ...
Red blood cells are essential for oxygen transport and immune function in the human body. When these cells become abnormally shaped, they can indicate serious health conditions, including diabetes, ...
Researchers at Tsinghua University have created a rapid, label-free method using polarized light detection to identify and ...
This seminar provides an overview of fluorescence microscopy in cancer research and other cell-based applications in the biosciences discovery workflow. In comparison with phase contrast and ...
Traditional light microscopy has distinct limits due to the diffraction of light, and as such, it cannot resolve features that are less than 200 nm apart. Microscopy technique development has ...
Any use of the resources at the Fred Hutchinson Cancer Center Electron Microscopy shared resource requires acknowledgement of the core in publication as follows: “Electron microscopy data were ...
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