PATENT CLAIM ANALYSIS

Application Number: 15946588
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-07
Patent Classification: ["250", "459100"]

Abstract:
A method of detecting bioaerosols, including detecting particles and estimating a particle size for each detected particle and determining a fluorescence strength for each detected particle. Comparing particle size and fluorescence strength for each detected particle to arrive at a normalized fluorescence strength per particle and comparing normalized fluorescence strengths over a time period to a maximum threshold, to detect highly fluorescent manmade substances.

Claim (Index 10):
A particle detector, comprising:\n a. a housing defining a chamber; b. an air stream injection assembly, producing an airstream, having a transverse extent, in said chamber; c. a light source, producing a light beam that intersects with and crosses said air stream; d. a light detection assembly, configured and positioned to detect scattering of light from said light beam, by particles in said air stream; e. a digitizer, responsive to said light detection assembly, to produce a sequence of first digital values, each first digital value representing light detected per a unit of time duration; f. a data processing assembly, computing a background noise estimation, responsive to said sequence of digital values, and repeatedly determining if interior surfaces of said light detection assembly have become degraded by adherent particles by analyzing changes to said background noise estimation over time to determine if an increase in background noise above a background noise increase threshold has taken place over a time period longer than a time period threshold.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 91.0
- Lexical Diversity: 1.78947
- Patent Class: 250.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15946579', '15946560', '11282799', '15877991', '15048199']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7306125771752631
- 35 USC 102 Novelty (BERT): 0.5616181291603859
- Combined Prediction Score: 0.7137131323737754
- Mean Citation Score: 314.25240599999995
- Max Citation Score: 444.5784
- Similarity Product: 408.5809977048397

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test