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 9):
The digital slide scanning apparatus of  claim 8 , wherein correcting the first macro image comprises, prior to applying the artifact mask to the first macro image, pre-processing the first macro image to apply one or more of illumination correction, background offsetting, or background noise removal to the first 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): 0.6206979117347756
- 35 USC 102 Novelty (BERT): 0.5258257629048559
- Combined Prediction Score: 0.6112106968517836
- Mean Citation Score: 245.541344
- Max Citation Score: 308.18854
- Similarity Product: 205.1511421291232

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