A generative model provides a framework for applying Bayesian methods to complex
experimentaldata like microscope images by describing them as a statistical probability …

The Bayesian paradigm provides a flexible and versatile framework for modeling complex
biological systems without assuming a fixed functional form or other constraints on the …

Self-propulsion of micro-and nanoparticles powered by ultrasound provides an attractive
strategy for the remote manipulation of colloidal matter using biocompatible energy inputs …

Electron and scanning probe microscopies are by now the mainstay of areas ranging from
fundamental condensed matter physics and materials science to chemistry and biology. In …

Data from population measurements of gene network dynamics have shown that cells
exhibit variability even in clonal lines. A reliable mathematical reconstruction of a biological …

Quantitative science requires the assessment of uncertainty, and this means that
measurements and inferences should be described as probability distributions. This is done …

Despite the importance of single particle motion in biological systems, systematic inference
approaches to analyze particle trajectories and evaluate competing motion models are …

CHANCE 9 portion as three-dimensional, with a glass front and a depth of about four inches.
There are cardboard dividers to keep the beads from settling into a flat pattern, and the …

To build a holographic microscope, take a standard optical microscope and illuminate the
sample with a coherent light source like a laser. Light scattered by the specimen interferes …

Wound healing and tumour growth involve collective cell spreading, which is driven by
individual motility and proliferation events within a population of cells. Mathematical models …