Abstract
This work presents the use of flickering nanoparticles for imaging biological samples. The method has high noise immunity, and it enables the detection of overlapping types of GNPs, at significantly sub-diffraction distances, making it attractive for super resolving localization microscopy techniques. The method utilizes a lock-in technique at which the imaging of the sample is done using a time-modulated laser beam that match the number of the types of gold nanoparticles (GNPs) that label a given sample, and resulting in the excitation of the temporal flickering of the scattered light at known temporal frequencies. The final image where the GNPs are spatially separated is obtained using post processing where the proper spectral components corresponding to the different modulation frequencies are extracted. This allows the simultaneous super resolved imaging of multiple types of GNPs that label targets of interest within biological samples. Additionally applying the post-processing algorithm of the K-factor image decomposition algorithm can further improve the performance of the proposed approach.
Original language | English |
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Title of host publication | Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIII |
Editors | Alexander N. Cartwright, Dan V. Nicolau |
Publisher | SPIE |
ISBN (Electronic) | 9781628419559 |
DOIs | |
State | Published - 2016 |
Event | Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIII - San Francisco, United States Duration: 15 Feb 2016 → 17 Feb 2016 |
Publication series
Name | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
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Volume | 9721 |
ISSN (Print) | 1605-7422 |
Conference
Conference | Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIII |
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Country/Territory | United States |
City | San Francisco |
Period | 15/02/16 → 17/02/16 |
Bibliographical note
Publisher Copyright:© 2016 SPIE.
Keywords
- Cellular imaging
- Image processing
- Superresolution
- gold nanoparticle
- lock-in amplification
- signal to noise ratio