PATENT CLAIM ANALYSIS

Application Number: 16218346
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["250", "310000"]

Abstract:
Systems and methods are disclosed that remove noise from roughness measurements to determine roughness of a feature in a pattern structure. In one embodiment, a method for determining roughness of a feature in a pattern structure includes generating, using an imaging device, a set of one or more images, each including measured linescan information that includes noise. The method also includes detecting edges of the features within the pattern structure of each image without filtering the images, generating a biased power spectral density (PSD) dataset representing feature geometry information corresponding to the edge detection measurements, evaluating a high-frequency portion of the biased PSD dataset to determine a noise model for predicting noise over all frequencies of the biased PSD dataset, and subtracting the noise predicted by the determined noise model from a biased roughness measure to obtain an unbiased roughness measure.

Claim (Index 12):
The system of  claim 10 , wherein the program further causes the processor to determine an area of the first bump from the best fit model, the first bump defining an area above the first model, wherein the area defines a measure of a variance of a wiggle.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 98.0
- Lexical Diversity: 1.9125
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16218338', '15892080', '16159977', '13244191', '15533309']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.68941449567634
- 35 USC 102 Novelty (BERT): 0.5673711941058865
- Combined Prediction Score: 0.6772101655192947
- Mean Citation Score: 260.218786
- Max Citation Score: 494.20282
- Similarity Product: 314.997911574961

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