MULTIPLEX DATA COLLECTION AND ANALYSIS IN BIOANALYTE DETECTION
1 Assignment
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Accused Products
Abstract
Method and device to collect multiplex data simultaneously in analyte detection and analyze the data by experimentally trained software (machine-learning) is disclosed. Various ways (magnetic particles and microcoils) are disclosed to collect multiple reporter (tag) signals. Multiplex detection can increase the biomolecule analysis efficiency by using small sample size and saving assay reagents and time. Machine learning and data analysis schemes are also disclosed. Multiple affinity binding partners, each labeled by a unique reporter, are contacted with a sample and a single spectrum is taken to detect multiple reporter signals. The spectrum is deconvoluted by experimentally trained software to identify multiple analytes.
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Citations
70 Claims
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1-40. -40. (canceled)
- 41. A computer implemented system comprising a first algorithm to simulate spectral features produced by a hypothetical composition comprising a plurality of reporters mixed in different ratios, a second algorithm to compare the simulated spectral features with experimentally obtained spectral features produced by an actual composition comprising a plurality of reporters in different ratios, and a third algorithm to determine a goodness-of-fit between the simulated spectral features and the experimentally obtained spectral features and to iteratively adjust the simulated spectral features by adjusting the hypothetical composition to maximize the goodness-of-fit to meet a pre-set statistical criteria.
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46-68. -68. (canceled)
- 69. A computer implemented method comprising simulating spectral features product by a hypothetical composition comprising a plurality of reporters mixed in different ratios, comparing the stimulated spectral features with experimentally obtained spectral features produced by an actual composition comprising a plurality of reporters in different ratios, determining a goodness-of-fit between the simulated spectral features and the experimentally obtained spectral features and iteratively adjusting the stimulated spectral features by adjusting the hypothetical composition to maximize the goodness-of-fit to meet a pre-set statistical criteria.
Specification