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Recent microscopy techniques use nanoparticles as contrast agents that assist in realizing super resolved imaging of the inspected sample. While the sample itself is not labelled, its optical properties and form are revealed from the agent's location and movement. Gold nanoparticles are frequently used for compound cellular imaging due to their plasmonic resonance that occurs in the visible regime...
We present a method to improve the localization precision of nanoparticles over Gaussian fitting by imposing an interference pattern on the Point-Spread-Function. Localization precision of 0.1nm for a single emitter was obtained.
We applied nonlinear optimization to convert a cannula into a high-resolution computational-fluorescence microscope. The microscope was used to image fluorescent microspheres, genetically-encoded mouse-brain slices, genetically-encoded and fluorescent-stained C. elegans nematodes (both living and dead animals).
Localization of a single fluorescent particle with sub-diffraction limit accuracy is a key merit in fluorescence microscopy. Implementation of nonlinear filtering algorithms prior the localization process can improve the localization accuracy of standard existing methods and also enable the localization of overlapping particles, allowing the use of increased fluorophore activation density, and thereby...
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