PATENT CLAIM ANALYSIS

Application Number: 16181334
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["250", "370090"]

Abstract:
A digital quantum dot radiographic detection system described herein includes: a scintillation subsystem  202  and a semiconductor light detection subsystem  200, 200′  (including a plurality of quantum dot image sensors  200 a,  200 b ). In a first preferred digital quantum dot radiographic detection system, the plurality of quantum dot image sensors  200  is in substantially direct contact with the scintillation subsystem  202.  In a second preferred digital quantum dot radiographic detection system, the scintillation subsystem has a plurality of discrete scintillation packets  212 a,  212 b,  at least one of the discrete scintillation packets communicating with at least one of the quantum dot image sensors. The quantum dot image sensors  200  may be associated with semiconductor substrate  210  made from materials such as silicon (and variations thereof) or graphene.

Claim (Index 17):
The system of  claim 1 , said scintillation subsystem comprising a plurality of discrete scintillation packets, at least one of said discrete scintillation packets in substantially direct contact with and in communication with an associated at least one of said quantum dot image sensors, said plurality of discrete scintillation packets being heterogeneous in that there are a plurality of different types of discrete scintillation packets, each said quantum dot image sensor being optimized to a peak output of a scintillation chemistry of its associated discrete scintillation packet, wherein different types of optimized quantum dot image sensor and associated discrete scintillation packet combinations provide images having a high resolution and contrast.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.21538
- Patent Class: 250.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14690280', '15215246', '13184469', '15745171', '09990880']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7303325742786574
- 35 USC 102 Novelty (BERT): 0.6637206472794447
- Combined Prediction Score: 0.7236713815787361
- Mean Citation Score: 471.12778
- Max Citation Score: 653.5734
- Similarity Product: 625.4978423027873

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