PATENT CLAIM ANALYSIS

Application Number: 16008619
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["351", "206000"]

Abstract:
Ocular surface interferometry devices, systems, and methods are disclosed for imaging an ocular tear film. An imaging device can be focused on the lipid layer of the tear film to capture optical wave interference interactions of specularly reflected light from the tear film combined with a background signal(s) in a first image, wherein the specularly reflected light may be produced from various portions of the ocular tear film by obliquely illuminating various portions of the ocular tear film with a multi-wavelength light source, such as in a tiling pattern(s). The imaging device can also be focused on the lipid layer to capture a second image containing the background signal(s) present in the first image. The second image can be subtracted from the first image to reduce and/or eliminate the background signal(s) in the first image to produce a resulting image, which can used to measure a tear film layer thickness.

Claim (Index 27):
The apparatus of  claim 26 , wherein the control system is further configured to adjust either a contrast level, a saturation level, or both the contrast level and the saturation level of the at least one resulting image displayed on the visual display.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 94.0
- Lexical Diversity: 2.22078
- Patent Class: 351.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15608308', '12798275', '12798325', '14299504', '12798324']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7510297477810755
- 35 USC 102 Novelty (BERT): 0.6639241002611078
- Combined Prediction Score: 0.7423191830290786
- Mean Citation Score: 678.1019140000002
- Max Citation Score: 692.1839
- Similarity Product: 660.8658388478399

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

Dataset: test