PATENT CLAIM ANALYSIS

Application Number: 16098228
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["356", "337000"]

Abstract:
Methods, apparatuses, and systems for detecting and classifying individual airborne biological and non-biological particles, in real time, based on particle size and polarized elastic scatter. Auto-fluorescence content may also be used along with particle size and polarized elastic scatter for further orthogonal classification. With polarized elastic scattering, the degree of linear or circular depolarization produced from particle morphology, refractive index, internal asymmetric structures and molecular optical activity can be used for classifying individual airborne particles. Alternatively, circular intensity differential scattering (CIDS) or linear intensity differential scattering (LIDS) can be used to discriminate individual particles.

Claim (Index 39):
The single airborne particle optical analyzer of  claim 37 , further including:\n (a) a horizontal polarization filter being disposed relative to the optical sensing zone and the light detector such that elastic light scatter resulting from the illumination of the single airborne particle by the vertically and horizontally polarized beams passes through said horizontal polarization filter prior to the elastic light scatter being detected by the light detector and wherein said means for illuminating includes a laser, a quarter wave retarder and a birefringent crystal, wherein the quarter water retarder circularly polarizes a beam generated by said laser and wherein said birefringent crystal produces vertically and horizontally polarized beams separated in space by a predetermined distance and said birefringent crystal is disposed relative to said optical sensing zone such that the single airborne particle is illuminated by the vertically and horizontally polarized beams as the single airborne particle passes through the optical sensing zone.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 98.0
- Lexical Diversity: 1.69231
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15143726', '12554567', '11350413', '11997778', '12508038']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6848666724896084
- 35 USC 102 Novelty (BERT): 0.6417814060152318
- Combined Prediction Score: 0.6805581458421708
- Mean Citation Score: 319.321124
- Max Citation Score: 642.6394
- Similarity Product: 546.5383717704296

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

Dataset: test