SynCellFactory: Generative Data Augmentation for Cell Tracking

arXiv:2404.16421v1 Announce Type: new
Abstract: Cell tracking remains a pivotal yet challenging task in biomedical research. The full potential of deep learning for this purpose is often untapped due to the limited availability of comprehensive and varied training data sets. In this paper, we present SynCellFactory, a generative cell video augmentation. At the heart of SynCellFactory lies the ControlNet architecture, which has been fine-tuned to synthesize cell imagery with photorealistic accuracy in style and motion patterns. This technique enables the …

abstract arxiv augmentation availability biomedical cs.cv data data sets deep learning generative paper pivotal research tracking training training data type video