PATENT CLAIM ANALYSIS

Application Number: 16186894
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["205", "775000"]

Abstract:
A method of detecting a lipid bilayer formed in a cell of a nanopore based sequencing chip is disclosed. An integrating capacitor is coupled with a lipid membrane, wherein the lipid membrane is between a working electrode and a counter electrode. An alternating current (AC) voltage is applied to the counter electrode. A voltage across the integrating capacitor is periodically sampled by an analog-to-digital converter (ADC). A change in the sampled voltage across the integrating capacitor in response to a change in the AC voltage is determined. Whether the lipid membrane comprises a lipid bilayer is detected based on the determined change in the sampled voltage across the integrating capacitor in response to the change in the AC voltage.

Claim (Index 15):
The system of  claim 10 , further comprising:\n a constant pre-charging voltage source; wherein the processor or circuitry is further configured to:\n pre-charge the integrating capacitor by connecting the integrating capacitor to the constant pre-charging voltage source; \n after the integrating capacitor is charged to the constant pre-charging voltage source value, disconnect the pre-charging voltage source from the integrating capacitor; \n wait a predetermined period of time for the integrating capacitor to charge or discharge through the capacitance associated with the lipid membrane; and \n cause the ADC to sample the voltage across the integrating capacitor after the predetermined waiting period.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 98.0
- Lexical Diversity: 2.40741
- Patent Class: 205.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15085700', '15715669', '15085713', '15630342', '15632190']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6942133195276657
- 35 USC 102 Novelty (BERT): 0.5372531951932302
- Combined Prediction Score: 0.6785173070942222
- Mean Citation Score: 260.226356
- Max Citation Score: 371.1982
- Similarity Product: 339.9918007267237

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