PATENT CLAIM ANALYSIS

Application Number: 16107974
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["257", "432000"]

Abstract:
The present disclosure provides an image sensor, a color filter array, and a preparation method thereof. The method includes: etching a photosensitive array substrate to form a plurality of strip-shaped first color filters, arranged at intervals in a first direction, a width direction thereof being parallel to the first direction; and etching the photosensitive array substrate to form block-shaped second and third color filters, the second and third color filters being disposed within the intervals of the first color filters and distributed in a second direction alternately, wherein the first direction is perpendicular to the second direction. An RGB arrangement manner different from a traditional manner is proposed from the perspective of layout design, thereby breaking a single RGB layout arrangement manner and providing more space for RGB design.

Claim (Index 14):
The preparation method for a color filter array according to  claim 11 , wherein the third color filter material layer is dry-etched or wet-etched to expose the first color filters and the second color filters, and the third color filters are formed within intervals of the first color filters and upper layers of the second color filters.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 96.0
- Lexical Diversity: 2.10448
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11505308', '10735770', '14808232', '11775621', '12434340']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9227120728709964
- 35 USC 102 Novelty (BERT): 0.4838623994044343
- Combined Prediction Score: 0.8788271055243404
- Mean Citation Score: 194.189172
- Max Citation Score: 197.07475
- Similarity Product: 145.29071063284576

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