Automated control of microfluidic devices based on machine learning
US11061042B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 5, 2019 |
| Grant date | Jul 13, 2021 |
| Priority date | — |
| Expiry date | Jun 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/37333
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A system is provided to automatically monitor and control the operation of a microfluidic device using machine learning technology. The system receives images of a channel of a microfluidic device collected by a camera during operation of the microfluidic device. Upon receiving an image, the system applies a classifier to the image to classify the operation of the microfluidic device as normal, in which no adjustment to the operation is needed, or as abnormal, in which an adjustment to the operation is needed. When an image is classified as normal, the system may make no adjustment to the microfluidic device. If, however, an image is classified as abnormal, the system may output an indication that the operation is abnormal, output an indication of a needed adjustment, or control the microfluidic device to make the needed adjustment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.