Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

The rapid development of synchrotrons has massively increased the speed at which
experiments can be performed, while new techniques have increased the amount of raw …

Modern scientific instruments are acquiring data at ever-increasing rates, leading to an
exponential increase in the size of data sets. Taking full advantage of these acquisition rates …

A majority of experimental disciplines face the challenge of exploring large and high-
dimensional parameter spaces in search of new scientific discoveries. Materials science is …

Modern scanning microscopes can image materials with up to sub-atomic spatial and sub-
picosecond time resolutions, but these capabilities come with large volumes of data, which …

Mass spectrometry imaging (MSI) enables label-free mapping of hundreds of molecules in
biological samples with high sensitivity and unprecedented specificity. Conventional MSI …

Polarization dynamics in ferroelectric materials are explored via automated experiment in
piezoresponse force microscopy/spectroscopy (PFM/S). A Bayesian optimization (BO) …

Autonomous experimentation is an emerging paradigm for scientific discovery, wherein
measurement instruments are augmented with decision-making algorithms, allowing them to …

Sparse sampling schemes can broadly be classified into two main categories: static
sampling where the sampling pattern is predetermined, and dynamic sampling where each …

The total number of data points required for image generation in Raman microscopy was
greatly reduced using sparse sampling strategies, in which the preceding set of …