Deep learning detector for high precision monitoring of cell encapsulation statistics in microfluidic droplets.

ABSTRACT: Encapsulation of cells inside microfluidic droplets is central to several applications involving cellular analysis. Although, theoretically the encapsulation statistics are expected to follow a Poisson distribution, experimentally this may not be achieved due to lack of full control of the experimental variables and conditions. Therefore, there is a need for automatic detection of droplets and cell count enumeration within droplets so a process control feedback to adjust experimental conditions can be implemented. In this study, we use a deep learning object detector called You Only Look Once (YOLO), an influential class of object detectors with several benefits over traditional methods. This paper investigates the application of both YOLOv3 and YOLOv5 object detectors in the development o

SUBMITTER: Gardner K 

PROVIDER: S-EPMC9706597 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature