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4 March 2022 Diatom photonic crystal biosensors: materials, applications, and fusion with machine learning
Alan X. Wang
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Proceedings Volume PC11979, Frontiers in Biological Detection: From Nanosensors to Systems XIV; PC1197907 (2022) https://doi.org/10.1117/12.2608895
Event: SPIE BiOS, 2022, San Francisco, California, United States
Abstract
Photonic crystals provide unique mechanisms to enhance light-matter interactions and have been widely adopted in optical biosensing. However, traditional photonic crystal biosensors still face significant challenges in cost, repeatability, and accuracy in quantification. Diatoms are unicellular algae in nature which have photonic crystal nanostructures with unique optical properties. In addition, they provide ultra-hydrophilic surface, excellent adsorption capabilities, microfluidic effect, and thin layer chromatography. This talk will provide an overview of our recent research progress in materials synthesis, various applications, and fusion with machine learning for better performance.
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Alan X. Wang "Diatom photonic crystal biosensors: materials, applications, and fusion with machine learning", Proc. SPIE PC11979, Frontiers in Biological Detection: From Nanosensors to Systems XIV, PC1197907 (4 March 2022); https://doi.org/10.1117/12.2608895
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KEYWORDS
Photonic crystals
Biosensors
Machine learning
Biological research
Chemical analysis
Nanoparticles
Statistical analysis
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