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 20):
The non-transitory computer readable storage media of  claim 17 , wherein the instructions further cause the processor to:\n define a threshold range and a threshold height; generate a baseline for a portion of the PSD dataset by smoothly connecting a first PSD value of the portion of the portion of the PSD dataset and a second PSD value of the portion of the PSD dataset, wherein the first PSD value and the second PSD value are separated by a threshold range; determine that a difference between a third PSD value of the portion of the PSD dataset and the baseline is greater than the threshold height; and replace the portion of the PSD dataset with the baseline for the portion of the PSD dataset.

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): 0.6851396372372304
- 35 USC 102 Novelty (BERT): 0.5787414207156591
- Combined Prediction Score: 0.6744998155850733
- Mean Citation Score: 260.218786
- Max Citation Score: 494.20282
- Similarity Product: 375.4353369668877

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