Flow Cell Assays With Probabilistic Decoding for Polypeptide Identification
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Solution Overview
Problem
Characterization and quantitation of heterogeneous polypeptide samples are hindered by the co-existence of proteins and peptides in widely varying quantities, leading to inaccurate signal detection and identification due to high-sensitivity and high-confidence prediction challenges.
Innovation Solution
A method utilizing affinity reagents with probabilistic binding profiles and computational decoding approaches to overlay and combine data from multiple assays, allowing for high-confidence characterization of polypeptides by assigning confidence levels to detection signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple lower specificity detection assays are used to detect multiple polypeptides, then the quantity of detectable polypeptides increases, but the measurement precision and confidence in identifying individual polypeptides decreases
Solution Approach 1:
The patent combines results from multiple lower-specificity detection assays to achieve high-confidence identification of individual polypeptides. By integrating data from multiple assays that each detect multiple polypeptides, the system resolves ambiguities and achieves precise identification that individual assays cannot achieve alone.
Solution Approach 2:
The patent introduces computational decoding algorithms as intermediaries that process and interpret the combined assay results. These algorithms analyze patterns across multiple assays to distinguish individual polypeptides, acting as a mediator between the raw assay data and the final identification.
2Measurement precision
If high-sensitivity analysis techniques are used to detect low-copy number proteins, then the detection sensitivity increases, but the accuracy decreases due to signal being drowned out by high-copy number proteins
Solution Approach 1:
The patent segments the detection problem by using multiple specialized assays, each optimized for detecting specific polypeptides. This segmentation allows the system to detect low-copy number proteins with high sensitivity while maintaining accuracy, as each assay contributes specific information that helps distinguish true signals from background noise.
Solution Approach 2:
The patent employs iterative computational decoding that uses feedback from multiple assay results to refine polypeptide identification. The system continuously adjusts its predictions based on combined assay data, improving accuracy by resolving ambiguities through repeated analysis of the full dataset.
Data Source
AI summary
Systems and methods for flow cells are provided. Flow cells may encompass a range of fluidic devices for various applications ranging from microfluidic systems to bulk phase flow systems. Flow cells may comprise one or more components for passive or active fluid transfer. Descriptions are provided for advantageous methods of fabricating flow cells for particular applications such as biological assays.