Abstract
Super-resolution localization microscopy can overcome the diffraction limit and achieve a tens of order improvement in resolution. It requires labeling the sample with fluorescent probes followed with their repeated cycles of activation and photobleaching. This work presents an alternative approach that is free from direct labeling and does not require the activation and photobleaching cycles. Fluorescently labeled gold nanoparticles in a solution are distributed on top of the sample. The nanoparticles move in a random Brownian motion, and interact with the sample. By obscuring different areas in the sample, the nanoparticles encode the sub-wavelength features. A sequence of images of the sample is captured and decoded by digital post processing to create the super-resolution image. The achievable resolution is limited by the additive noise and the size of the nanoparticles. Regular nanoparticles with diameter smaller than 100nm are barely seen in a conventional bright field microscope, thus fluorescently labeled gold nanoparticles were used, with proper modifications for the setup. The method is validated both by numerical simulations as well as by experimental data.
Original language | English |
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Title of host publication | Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIV |
Editors | Dan V. Nicolau, Dror Fixler, Alexander N. Cartwright |
Publisher | SPIE |
ISBN (Electronic) | 9781510605954 |
DOIs | |
State | Published - 2017 |
Event | Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIV 2017 - San Francisco, United States Duration: 30 Jan 2017 → 1 Feb 2017 |
Publication series
Name | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
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Volume | 10077 |
ISSN (Print) | 1605-7422 |
Conference
Conference | Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIV 2017 |
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Country/Territory | United States |
City | San Francisco |
Period | 30/01/17 → 1/02/17 |
Bibliographical note
Publisher Copyright:© 2017 SPIE.
Keywords
- Fluorescence
- Image processing
- Microscopy
- Nanoparticles
- Superresolution