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Cellular imaging using temporally flickering nanoparticles.

Ilovitsh T, Danan Y, Meir R, Meiri A, Zalevsky Z - Sci Rep (2015)

Bottom Line: We demonstrate an effective way to improve the SNR, in particular when the inspected signal is indistinguishable in the given noisy environment.We excite the temporal flickering of the scattered light from gold nanoparticle that labels a biological sample.By preforming temporal spectral analysis of the received spatial image and by inspecting the proper spectral component corresponding to the modulation frequency, we separate the signal from the wide spread spectral noise (lock-in amplification).

View Article: PubMed Central - PubMed

Affiliation: 1] Faculty of Engineering, Bar Ilan University, Ramat-Gan 5290002, Israel [2] The Bar-Ilan Institute of Nanotechnology &Advanced Materials, Bar Ilan University, Ramat-Gan 5290002, Israel.

ABSTRACT
Utilizing the surface plasmon resonance effect in gold nanoparticles enables their use as contrast agents in a variety of applications for compound cellular imaging. However, most techniques suffer from poor signal to noise ratio (SNR) statistics due to high shot noise that is associated with low photon count in addition to high background noise. We demonstrate an effective way to improve the SNR, in particular when the inspected signal is indistinguishable in the given noisy environment. We excite the temporal flickering of the scattered light from gold nanoparticle that labels a biological sample. By preforming temporal spectral analysis of the received spatial image and by inspecting the proper spectral component corresponding to the modulation frequency, we separate the signal from the wide spread spectral noise (lock-in amplification).

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Related in: MedlinePlus

The Fourier transform of the temporal fluctuations of pixels in the recorded images.The data pixels present a clear peak at the modulation frequency of 3 Hz (red line) and the noise pixel does not contain any peak (black line).
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f7: The Fourier transform of the temporal fluctuations of pixels in the recorded images.The data pixels present a clear peak at the modulation frequency of 3 Hz (red line) and the noise pixel does not contain any peak (black line).

Mentions: Figure 6 presents a sequence of recorded images of the scattered light from the sample with −25 dB SNR. The presented images were captured every 20 msec. It is clearly seen that the signal is almost indistinguishable. The Fourier transform of the temporal fluctuations of the pixels in the images is presented in Figure 7. When observing the Fourier transform of a data pixel, a clear peak is visible at the modulation frequency of 3 Hz (red line) while the Fourier transform of a noise pixel does not contain any peak (black line).


Cellular imaging using temporally flickering nanoparticles.

Ilovitsh T, Danan Y, Meir R, Meiri A, Zalevsky Z - Sci Rep (2015)

The Fourier transform of the temporal fluctuations of pixels in the recorded images.The data pixels present a clear peak at the modulation frequency of 3 Hz (red line) and the noise pixel does not contain any peak (black line).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4316156&req=5

f7: The Fourier transform of the temporal fluctuations of pixels in the recorded images.The data pixels present a clear peak at the modulation frequency of 3 Hz (red line) and the noise pixel does not contain any peak (black line).
Mentions: Figure 6 presents a sequence of recorded images of the scattered light from the sample with −25 dB SNR. The presented images were captured every 20 msec. It is clearly seen that the signal is almost indistinguishable. The Fourier transform of the temporal fluctuations of the pixels in the images is presented in Figure 7. When observing the Fourier transform of a data pixel, a clear peak is visible at the modulation frequency of 3 Hz (red line) while the Fourier transform of a noise pixel does not contain any peak (black line).

Bottom Line: We demonstrate an effective way to improve the SNR, in particular when the inspected signal is indistinguishable in the given noisy environment.We excite the temporal flickering of the scattered light from gold nanoparticle that labels a biological sample.By preforming temporal spectral analysis of the received spatial image and by inspecting the proper spectral component corresponding to the modulation frequency, we separate the signal from the wide spread spectral noise (lock-in amplification).

View Article: PubMed Central - PubMed

Affiliation: 1] Faculty of Engineering, Bar Ilan University, Ramat-Gan 5290002, Israel [2] The Bar-Ilan Institute of Nanotechnology &Advanced Materials, Bar Ilan University, Ramat-Gan 5290002, Israel.

ABSTRACT
Utilizing the surface plasmon resonance effect in gold nanoparticles enables their use as contrast agents in a variety of applications for compound cellular imaging. However, most techniques suffer from poor signal to noise ratio (SNR) statistics due to high shot noise that is associated with low photon count in addition to high background noise. We demonstrate an effective way to improve the SNR, in particular when the inspected signal is indistinguishable in the given noisy environment. We excite the temporal flickering of the scattered light from gold nanoparticle that labels a biological sample. By preforming temporal spectral analysis of the received spatial image and by inspecting the proper spectral component corresponding to the modulation frequency, we separate the signal from the wide spread spectral noise (lock-in amplification).

Show MeSH
Related in: MedlinePlus