PATENT CLAIM ANALYSIS

Application Number: 16048549
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["355", "067000"]

Abstract:
Projection objectives, such as projection objectives of lithography projection exposure apparatuses, as well as related systems, components and methods, such as methods of revising and/or repairing such objectives, are disclosed.

Claim (Index 20):
A method of modifying a catadioptric lithography projection objective, the catadioptric lithography projection objective comprising a plurality of optical elements between an object plane and an image plane of the catadioptric lithography projection objective, the plurality of optical elements comprising a first optical element arranged at a first location in the catadioptric lithography projection objective, the method comprising:\n removing the first optical element from the catadioptric lithography projection objective in the field at a location of a customer; and inserting a first spare optical element into the catadioptric lithography projection objective at the first location, wherein:\n the first spare optical element is thinner than first optical element; \n the first optical element is a lens element closest to the image plane; and \n the catadioptric lithography projection objective is selected from the group consisting of an immersion type and a double immersion type.

Metadata:
- Claim Count in Document: 63.0
- Percentile: 95.0
- Lexical Diversity: 1.63636
- Patent Class: 355.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15294281', '14074312', '12334685', '11783966', '14143000']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6537287456197124
- 35 USC 102 Novelty (BERT): 0.4827234771864469
- Combined Prediction Score: 0.6366282187763859
- Mean Citation Score: 270.842774
- Max Citation Score: 332.2881
- Similarity Product: 255.69146018847223

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