Super-Resolution imaging refers to modern techniques of achieving
resolution below conventional limits. This book gives a comprehensive
overview of mathematical and computational techniques used to achieve
this, providing a solid foundation on which to develop the knowledge and
skills needed for practical application of techniques. Split into five
parts, the first looks at the mathematical and probabilistic tools
needed, before moving on to description of different types of imaging;
single-wave, anomaly, multi-wave and spectroscopic and nanoparticle.As
an important contribution to the understanding of super-resolution
techniques in biomedical imaging, this book is a useful resource for
scientists and engineers in the fields of biomedical imaging and
super-resolution, and is self-contained reference for any newcomers to
these fields.