Titlebook: Nanoscale Photonic Imaging; Tim Salditt,Alexander Egner,D. Russell Luke Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The Author(s)

能量守恒

Metal-Induced Energy Transfer Imagingalled metal-induced energy transfer. It combines unprecedented nanometer resolution with technical simplicity that allows life science researchers to use it with standard microscopes. We discuss basic principle of the method, its theoretical background, and its applications for imaging of various sub-cellular structures.

Accessible

A Statistical and Biophysical Toolbox to Elucidate Structure and Formation of Stress Fibers 11 kPa (intermediate, muscle-like stiffness) and 30 kPa (hard, pre-calcified bone rigidity). The combination of these methods constitutes a novel integrated toolbox, where for instance, statistical insight may be used to guide experimental design.

RAGE

盲信者

Book‘‘‘‘‘‘‘‘ 2020le visualization, as well as describing a range of fascinating in-depth studies. Introductory chapters cover the most relevant physics and basic methods that young researchers need to master in order to work effectively in the field of nanoscale photonic imaging, from physical first principles, to i

Digitalis

Quantifying Molecule Numbers in STED/RESOLFT Fluorescence Nanoscopym the antibunched nature of single-fluorophore emissions or in the signal variance among multiple on/off-switching cycles. In this chapter, we discuss the concepts and approaches demonstrated to date for counting molecules in STED/RESOLFT nanoscopy.

conjunctiva

Photonic Imaging with Statistical Guarantees: From Multiscale Testing to Multiscale Estimationhe family-wise error rate by different modifications, and provide a connection to extreme value theory. Afterwards we present possible extension to inverse problems. Moving from testing to estimation, we finally introduce a method which constructs an estimator of the desired quantity of interest with automatic smoothness guarantees.

和平主义者

Constrained Reconstructions in X-ray Phase Contrast Imaging: Uniqueness, Stability and Algorithmsnt for the inherent nonlinearity of XPCI. A Kaczmarz-type variant of the approach is considered for 3D image-recovery in tomographic XPCI, which remains applicable for large-scale data. The relevance of constraints and the capabilities of the proposed algorithms are demonstrated by numerical reconstruction examples.