Nanopore Sequencing Cell Calibration for Voltage Drift

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Solution Overview

Problem

Nanopore-based sequencing chips face challenges in accuracy and stability due to manufacturing variability, time-dependent non-idealities, and biochemical circuit characteristics, leading to difficulties in determining correct nucleotides and maintaining consistent output voltages.

Innovation Solution

The implementation of techniques for characterizing and calibrating nanopore sequencing cells, including physical checks, zero-point calibration, nanopore formation, and signal normalization, to ensure consistent and accurate nucleotide detection by modeling cell elements as discrete resistive and capacitive components and applying normalization factors to correct for cell-specific non-idealities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If nanopore sequencing chips are manufactured with large numbers of sensor cells, then productivity increases, but manufacturing precision and measurement precision deteriorate due to variability

Engineering Contradiction:
Improvesequencing throughputVSAvoidcell-to-cell variability
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The patent divides the sequencing chip into multiple independent sensor cells arranged in an array, where each cell contains its own nanopore and measurement circuitry. This segmentation allows parallel sequencing of multiple DNA strands simultaneously, increasing overall productivity while isolating manufacturing variability to individual cells rather than affecting the entire system.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements calibration procedures that measure and adjust voltage parameters for each individual sensor cell. By characterizing the electrical characteristics of each cell and applying cell-specific calibration factors, the system compensates for manufacturing variability and maintains measurement precision across large arrays of sensor cells.

Inventive Principle:
Principle #35Parameter changes

2Ease of manufacture

If conventional semiconductor manufacturing techniques are used, then ease of manufacture improves, but reliability deteriorates due to biochemical circuit element variability

Engineering Contradiction:
Improvefabrication processVSAvoidelectrical characteristic stability
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The patent incorporates calibration and characterization steps into the manufacturing process itself, performing measurements and adjustments before the sequencing operation begins. This preliminary action allows the system to account for and compensate for biochemical variability in advance, ensuring reliable operation without requiring complex real-time adjustments during sequencing.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback mechanisms where the electrical characteristics of each sensor cell are measured and used to adjust operating parameters. This feedback loop compensates for variability in biochemical circuit elements, maintaining consistent performance across different cells and over time despite the inherent variability of lipid bilayers and nanopores.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If voltage measurements are taken without calibration, then measurement precision is maintained, but reliability deteriorates due to time-dependent non-idealities

Engineering Contradiction:
Improvevoltage detection accuracyVSAvoidoutput consistency over time
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent performs zero-point calibration and characterization measurements before the actual sequencing operation. This preliminary calibration establishes baseline voltage levels and detection thresholds for each cell, ensuring that subsequent measurements are accurate and consistent. The calibration is performed at the same time point as the sequencing measurement to account for temporal drift.

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enhances the accuracy and stability of nucleotide detection by ensuring consistent output signals and improving base detection capabilities, reducing errors and spurious signals, and maintaining the integrity of sequencing data over time.

Implementation Method 1

When a voltage potential is applied across a nanopore immersed in a conducting fluid, a small ion current attributed to the conduction of ions across the nanopore can exist.

Methodology Applied
Scientific EffectIon conduction: Conduction (electrical)

Implementation Method 2

The size of the current is sensitive to the pore size and which molecule in the nanopore. A voltage in a circuit including the nanopore can be measured (e.g., at an integrating capacitor) as a way of measuring the resistance of the molecule

Methodology Applied
Scientific EffectElectrical resistance: Electrical Resistance

Data Source

PatentUS20240377379A1Formation and calibration of nanopore sequencing cells
Publication Date: 2024.11.14 ROCHE SEQUENCING SOLUTIONS INC
  • US20240377379A1 patent drawing
  • US20240377379A1 patent drawing
  • US20240377379A1 patent drawing

AI summary

Improved multi-cell nanopore-based sequencing chips and methods can employ formation, characterization, calibration, and/or normalization techniques. For example, various methods may include one or more steps of performing physical checks of cell circuitry, forming and characterizing a lipid layer on the cells, performing a zero point calibration of the cells, forming and characterizing nanopores on the lipid layers of each cell, performing a sequencing operation to accumulate sequencing signals from the cells, normalizing those sequencing signals, and determining bases based on the normalized sequencing signals.