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.
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