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Paper-Based Test Scans for Multiple Biomarkers in Human Serum

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Researchers led by UCLA professor Aydogan Ozcan developed a deep learning-enabled biosensor for multiplexed, point-of-care (POC) testing of disease biomarkers. POC biosensors provide remote and resource-limited communities with an economical, practical alternative to centralized laboratory testing. The UCLA-developed POC sensor includes a paper-based fluorescence vertical flow assay to simultaneously detect three biomarkers of acute coronary syndrome from human serum samples. The vertical flow assay is processed by a low-cost mobile reader, which quantifies the target biomarkers through...Read full article

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    Published: May 2023
    Glossary
    fluorescence
    Fluorescence is a type of luminescence, which is the emission of light by a substance that has absorbed light or other electromagnetic radiation. Specifically, fluorescence involves the absorption of light at one wavelength and the subsequent re-emission of light at a longer wavelength. The emitted light occurs almost instantaneously and ceases when the excitation light source is removed. Key characteristics of fluorescence include: Excitation and emission wavelengths: Fluorescent materials...
    deep learning
    Deep learning is a subset of machine learning that involves the use of artificial neural networks to model and solve complex problems. The term "deep" in deep learning refers to the use of deep neural networks, which are neural networks with multiple layers (deep architectures). These networks, often called deep neural networks or deep neural architectures, have the ability to automatically learn hierarchical representations of data. Key concepts and components of deep learning include: ...
    BiophotonicsSensors & DetectorsbiosensorsdevicesPoint-of-carepoint-of-care devicepoint-of-care diagnosisnanomedicineimmunoassaybiomarkersAydogan OzcanUCLAResearch & TechnologyeducationAmericasmedicalfluorescencedeep learningpolymersBioScan

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