Imaging mass spectrometry (IMS) is a rapidly advancing molecular imaging modality that
can map the spatial distribution of molecules with high chemical specificity. IMS does not …

This tutorial reviews image alignment and image stitching algorithms. Image alignment
algorithms can discover the correspondence relationships among images with varying …

In this work, we demonstrate how physical principles—such as symmetries, invariances and
conservation laws—can be integrated into the dynamic mode decomposition (DMD). DMD is …

The integration of data and scientific computation is driving a paradigm shift across the
engineering, natural, and physical sciences. Indeed, there exists an unprecedented …

Context. Gaia Data Release 3 contains astrometry and photometry results for about 1.8
billion sources based on observations collected by the European Space Agency (ESA) Gaia …

Koopman operators globally linearize nonlinear dynamical systems and their spectral
information is a powerful tool for the analysis and decomposition of nonlinear dynamical …

Master Techniques and Successfully Build Models Using a Single Resource Vital to all data-
driven or measurement-based process operations, system identification is an interface that …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

The dynamic mode decomposition (DMD)—a popular method for performing data-driven
Koopman spectral analysis—has gained increased popularity for extracting dynamically …

Few books on statistical data analysis in the natural sciences are written at a level that a non-
statistician will easily understand. This is a book written in colloquial language, avoiding …