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 6):
A bioaerosol detector, comprising:\n a. a housing defining a chamber; b. an air stream injection assembly, producing an airstream with entrained particles having an average velocity within a transverse extent, in said chamber; c. a light source, producing a light beam that intersects with and crosses said air stream; d. a photon detection assembly, including an optical train and a photon detector, and being configured and positioned to generate an output pulse in response to a photon encounter, from light emitted from said light source and scattered by a particle in said air stream; e. a digitizer, responsive to said photon detector, to produce a sequence of first digital values, each first digital value representing detections of output pulses from said photon detection assembly, per a unit of time duration; f. a photon detector continuous high state sensor, also responsive to said photon detection assembly, and adapted to detect a continuous high output state, thereby indicating that a flood of photons is preventing said photon detector from transitioning into a low state between photon encounters.

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): 0.73057649862835
- 35 USC 102 Novelty (BERT): 0.5617087199487234
- Combined Prediction Score: 0.7136897207603873
- Mean Citation Score: 314.25240599999995
- Max Citation Score: 444.5784
- Similarity Product: 409.3053991621971

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