PATENT CLAIM ANALYSIS

Application Number: 16146991
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["348", "079000"]

Abstract:
Two-pass capture of a macro image. In an embodiment, a scanning apparatus comprises a stage, a high-resolution camera, and a lens that provides a field of view, substantially equal in width to a slide width, to the high-resolution camera. The apparatus also comprises a first illumination system for transmission-mode illumination, and a second illumination system for reflection-mode illumination. Processor(s) move the stage in a first direction to capture a first macro image of a specimen during a single pass while the field of view is illuminated by the first illumination system, and move the stage in a second direction to capture a second macro image of the specimen during a single pass while the field of view is illuminated by the second illumination system. The processor(s) identify artifacts in the second macro image, and, based on those artifacts, correct the first macro image to generate a modified first macro image.

Claim (Index 10):
The digital slide scanning apparatus of  claim 7 , wherein identifying artifacts in the second macro image comprises, prior to generating the artifact mask, pre-processing the second macro image to apply background offsetting to the second macro image.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 97.0
- Lexical Diversity: 2.75806
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15858487', '16147476', '13771831', '15201103', '10798457']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6205224622384305
- 35 USC 102 Novelty (BERT): 0.5272992831695621
- Combined Prediction Score: 0.6112001443315437
- Mean Citation Score: 245.541344
- Max Citation Score: 308.18854
- Similarity Product: 195.95230015208008

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