PATENT CLAIM ANALYSIS

Application Number: 15993512
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["382", "100000"]

Abstract:
In one embodiment of the invention, a method to image a probe array is described that includes focusing on a plurality of fiducials on a surface of an array. The method utilizes obtaining the best z position of the fiducials and using a surface fitting algorithm to produce a surface fit profile. One or more surface non-flatness parameters can be adjusted to improve the flatness image of the array surface to be imaged.

Claim (Index 49):
A computer program product embedded in a non-transitory computer readable medium comprising instructions executable by a computer processor for improving image flatness of a surface image of a probe array having an array surface roughness, the instructions being executable by a computer processor to execute processing comprising:\n imaging one or more fiducials of the probe array and determining a position measurement for each of the one or more fiducials based on at least image sharpness; generating a surface fit profile based on one or more of the position measurements; and imaging the probe array and adjusting one or more surface non-flatness parameters based on the surface fit profile to improve the image flatness of the surface image of the probe array.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 93.0
- Lexical Diversity: 1.60417
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15687400', '12780825', '11379641', '13241970', '11627876']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2974085810751258
- 35 USC 102 Novelty (BERT): 0.4946340054160681
- Combined Prediction Score: 0.31713112350922
- Mean Citation Score: 180.85629
- Max Citation Score: 259.60635
- Similarity Product: 224.71020949502

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test