Tunable red to green emissions in upconversion nanoparticles allow precise identification of single particles, enabling ...

Multi-target tracking algorithms and filters underpin a broad spectrum of modern sensing applications by providing robust methodologies to estimate the trajectories of multiple moving objects amid ...

Scientists have created a new method of particle tracking based on machine learning that is far more accurate and provides better automation than techniques currently in use. Scientists at the ...

As the final course in the Applied Kalman Filtering specialization, you will learn how to develop the particle filter for solving strongly nonlinear state-estimation problems. You will learn about the ...

In SPT, the probe is attached to the molecule of interest, such as an organelle, virus, or a receptor to view the individual characteristics of the molecule. Molecules can interact stochastically with ...

Carbon particles are present in many aspects of our daily lives. Soot, which consists of tiny carbon particles, is generated ...