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 32):
The method of  claim 31 , including the further steps of:\n (a) prior to the detecting step of paragraph (d) of claim  6 , passing elastic light scatter resulting from the illumination of the single airborne particle with the vertically polarized light beam through a horizontal polarization filter; (b) determining, using the detected elastic light scatter resulting from the illumination of the single airborne particle, each of the following: (i) a size of the single airborne particle; and, (ii) a linear depolarization value for the single airborne particle; and, (c) determining at least one characteristic of the single airborne particle based on the size of the single airborne particle and the linear depolarization value for the single airborne particle.

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): 0.6885181776205961
- 35 USC 102 Novelty (BERT): 0.6312049661708548
- Combined Prediction Score: 0.682786856475622
- Mean Citation Score: 319.321124
- Max Citation Score: 642.6394
- Similarity Product: 511.6190290009261

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

Dataset: test