Computationally Derived Minimum Inhibitory Concentration Prediction from Multi-Dimensional Flow Cytometric Susceptibility Testing
Methods for estimating a minimum inhibitory concentration of an antibiotic for a bacterial species. Methods according to certain embodiments include obtaining cytometric data (e.g., flow cytometer data) for a plurality of test samples and a control sample for the antibiotic and bacterial species, co...
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| Format | Patent |
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| Language | English |
| Published |
31.08.2021
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| Online Access | Get full text |
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| Summary: | Methods for estimating a minimum inhibitory concentration of an antibiotic for a bacterial species. Methods according to certain embodiments include obtaining cytometric data (e.g., flow cytometer data) for a plurality of test samples and a control sample for the antibiotic and bacterial species, computing distance values that reflect a measure of variation between one or more pairs of samples, and assigning a minimum inhibitory concentration based on the computed distance values. Systems for practicing the subject methods are also provided. Non-transitory computer readable storage media are also described. |
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