Spatiotemporal tracking of tracer particles or objects of interest can reveal localized behaviors in biological and physical systems. However, existing tracking algorithms are most effective for ...

A wide range of problems in applied physics and engineering involve learning physical displacement fields from data. In this paper we propose a deep neural network-based approach for learning ...

Particle sorting is fundamental to biological and medical research, although existing methods are unable to sort large-sized particles via high-throughput sorting. In a new report, Y. Kasai and a ...