PATENT CLAIM ANALYSIS

Application Number: 15963006
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["324", "252000"]

Abstract:
The inventive concepts presented herein relate to methods of identifying molecules identification of molecules using apparatuses including: electromagnetic write-head(s); magneto-resistive read sensor(s), and processor(s). An exemplary method includes magnetically exciting a molecule to be identified using an alternating magnetic field generated by an electromagnetic write-head, measuring a resonant response of the molecule to be identified using a magneto-resistive read sensor; and comparing, using a processor, the resonant response of the molecule to be identified with a table of known resonant responses to identify a chemical composition of the molecule to be identified. The molecule to be identified may optionally be disposed on a biosample substrate which comprises, or is coupled to, a plurality of servo-alignment marks; and the plurality of servo-alignment marks are configured to facilitate alignment of the electromagnetic write-head with the biosample tracks of the biosample substrate.

Claim (Index 8):
A method of identifying molecules of interest, comprising:\n scanning one or more of a plurality of biosample tracks of a biosample substrate using an electromagnetic write-head to magnetically excite one or more molecules of interest using an alternating magnetic field, wherein the one or more molecules of interest are disposed on one or more of the biosample tracks; measuring a resonant response of the one or more molecules of interest using a magneto-resistive sensor; and comparing the resonant response to a table of known resonant responses to identify the one or more molecules of interest.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.11842
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14958753', '13151258', '15093599', '12888408', '12888388']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6169571207757901
- 35 USC 102 Novelty (BERT): 0.5460313236157505
- Combined Prediction Score: 0.6098645410597863
- Mean Citation Score: 340.42599600000005
- Max Citation Score: 417.9882
- Similarity Product: 388.2663503866197

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