{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11262286","patent":{"patent_number":"US-11262286","title":"Label-free bio-aerosol sensing using mobile microscopy and deep learning","assignee":null,"inventors":[],"filing_date":"2020-04-24T00:00:00.000Z","publication_date":"2022-03-01T00:00:00.000Z","cpc_codes":["G01N","G01N","G06N","G06N","G06T","G06T","G01N","G01N","G01N","G01N","G06T","G06T","G06T"],"num_claims":15,"abstract":"A label-free bio-aerosol sensing platform and method uses a field-portable and cost-effective device based on holographic microscopy and deep-learning, which screens bio-aerosols at a high throughput level. Two different deep neural networks are utilized to rapidly reconstruct the amplitude and phase images of the captured bio-aerosols, and to output particle information for each bio-aerosol that is imaged. This includes, a classification of the type or species of the particle, particle size, particle shape, particle thickness, or spatial feature(s) of the particle. The platform was validated using the label-free sensing of common bio-aerosol types, e.g., Bermuda grass pollen, oak tree pollen, ragweed pollen, Aspergillus spore, and Alternaria spore and achieved >94% classification accuracy. The label-free bio-aerosol platform, with its mobility and cost-effectiveness, will find several applications in indoor and outdoor air quality monitoring."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Label-free bio-aerosol sensing using mobile microscopy and deep learning","description":"A label-free bio-aerosol sensing platform and method uses a field-portable and cost-effective device based on holographic microscopy and deep-learning, which screens bio-aerosols at a high throughput ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11262286","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11262286","citation_suggestion":"Patentable. \"Label-free bio-aerosol sensing using mobile microscopy and deep learning\" (US-11262286). https://patentable.app/patents/US-11262286","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11262286","json":"https://patentable.app/api/llm-context/US-11262286","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:30:17.797Z"}