Difference between revisions of "Cell Imaging Using Picosecond Ultrasonics"

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(Ultrasonic images of Cells)
(3D imaging)
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==3D imaging==
 
==3D imaging==
It is possible to use signal processing techniques to extract more information from the data we obtain during the scans. By analyzing the frequency of the signal vs time we can extract changes in frequency with depth. This enables the mapping of internal structures in the cells, or should the acoustic ways leave the cell and enter the medium allows us to obtain a profile.
+
It is possible to use signal processing techniques to extract more information from the data we obtain during the scans. By analyzing the frequency of the signal vs time we can extract changes in frequency with depth. This enables the mapping of internal structures in the cells, or should the acoustic waves leave the cell and enter the medium it allows us to obtain the profile.
  
There are a number of different ways to do this, from relatively fast and simple methods (zero cross analysis) to more complex approach (wavelets).
+
There are a number of different ways to do this, from relatively fast and simple methods (zero cross analysis) to more complex approaches (wavelets).
 
 
Below is an example of the process for a phantom cell made from polystyrene beads. In the time trace the transition from the phantom back to the media is clearly visible. By tracking this transition location in time and combining it with the Brillouin frequency and index maps, we can obtain a profile of the phantom cell.
 
  
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Below is an example of the process for a phantom cell made from polystyrene beads. In the time trace the transition from the phantom back to the media is clearly visible.
 
[[Image:PLU_transition_samplett.png  |300px|alt=alt text|trace of phantom cell]]
 
[[Image:PLU_transition_samplett.png  |300px|alt=alt text|trace of phantom cell]]
 
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IF we take the Brillouin frequency map and a map of the refractive index we can produce a map of the acoustic velocity of the material.
 
 
 
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|[[Image:PLU_phantomSpeedMap.png |300px|alt=alt text|velocity map]]
 
|[[Image:PLU_phantomSpeedMap.png |300px|alt=alt text|velocity map]]
 
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Combining this map with the transition time information gives us the profile of the cell phantom.
 
[[Image:PLU_phantom_profile.png  |400px|alt=alt text|trace of phantom cell]]
 
[[Image:PLU_phantom_profile.png  |400px|alt=alt text|trace of phantom cell]]
  

Revision as of 13:09, 5 June 2015

Motivation

Detection mechanism - Brillouin Oscillations

Brillouin simple.png

The probe light is reflected from the sample surface to the detector, and if the sample is transparent there is also a reflection from the acoustic wave packet traveling in the sample. This happens because the acoustic wave causes a change in the local refractive index and so acts as a weak mirror. These reflections interfere at the detector and as the phase of the reflection from the acoustic wave is changing with time it leads to an oscillating signal. These oscillations are termed Brillouin Oscillations.

The frequency F of the oscillation is given by the simple equation: F = 2*Va*n/λ

So if we can measure this signal we can measure the acoustic velocity Va, as long as we know the laser wavelength λ and the refractive index n.


Substrate Design

alt text alt text
alt text alt text

The cells are grown on a transducer substrate similar to those described here. The optimization of the transducer layer is different in this case. Here we are much more concerned with optimizing the optical properties of the transducers. The goal is to reduce the amount of blue light reaching the cell and either maximize the reflected or transmitted light, depending on the experiment requirements. We still have to ensure that the acoustic performance of the transducer is correct and that the acoustic bandwidth is sufficient to generate waves in the Brillouin frequency range of the sample.


Instrumentation advancements to enable imaging

alt text

Measurements are made using a pump/probe picosecond laser ultrasound instrument utilizing ASOPS lasers. These laser control the delay between the pulse electronically removing the need to mechanically scan a delay line. this allows the very small signals present in these typos of experiments to be obtained quickly.

The pump beam is frequency doubled in a non linear crystal to have a wavelength of 390nm, the probe beam is at 790nm and both beams can be directed to the sample through and objective lens normal to the sample. optionally the pump beam can also be directed to the underside of the sample to generate the acoustic waves from below.

The instrument also has optical paths for wide field phase contrast imaging to allow the cells being studied to be visualized. This allows to assess the cells health and locate the scan region and register the acoustic image with the cell of interest.

The acoustic signals are captured by recording the probe beam power with a photo-diode, this signal is then filtered and amplified before being digitized in a digital oscilloscope. To build up an image the sample is raster scanned.


Ultrasonic imaging of cells

An example trace is shown below, there are three main components present in the signal. A signal from the transducer substrate, once from Brillouin oscialltions in the glass, and one from the cell or media. These signals are all clearly separated in the the frequency domain as shown by the FFT.

alt text alt text


Fixed Cells

By recording the Brillouin frequency while scanning the sample images can be taken. The below shows a Brillouin frequency map of a fixed fibroblast cell, this image shows the location of the nucleus (the redder region).

alt text alt text

A different fibroblast cell is shown below, here we can see much more detail, with the filopodia clearly visible.

alt text alt text

The image below shows a scan of a fixed cardiac cell, the striations of the cell are clearly visible, these repeating structures are how the cells contract, and have spacings on the order of a few microns.

alt text alt text


Live Cells

3D imaging

It is possible to use signal processing techniques to extract more information from the data we obtain during the scans. By analyzing the frequency of the signal vs time we can extract changes in frequency with depth. This enables the mapping of internal structures in the cells, or should the acoustic waves leave the cell and enter the medium it allows us to obtain the profile.

There are a number of different ways to do this, from relatively fast and simple methods (zero cross analysis) to more complex approaches (wavelets).

Below is an example of the process for a phantom cell made from polystyrene beads. In the time trace the transition from the phantom back to the media is clearly visible. alt text IF we take the Brillouin frequency map and a map of the refractive index we can produce a map of the acoustic velocity of the material.

alt text alt text alt text

Combining this map with the transition time information gives us the profile of the cell phantom. alt text

Related Publications and Talks

Smith Richard J., Cota Fernando Perez, Marques Leonel, Chen Xuesheng, Arca Ahmet, Webb Kevin, Aylott Jonathon, Somekh Micheal G., Clark Matt - Optically excited nanoscale ultrasonic transducers
The Journal of the Acoustical Society of America 137:219--227, jan 2015
http://scitation.aip.org/content/asa/journal/jasa/137/1/10.1121/1.4904487
Bibtex<div>Author : Smith Richard J., Cota Fernando Perez, Marques Leonel, Chen Xuesheng, Arca Ahmet, Webb Kevin, Aylott Jonathon, Somekh Micheal G., Clark Matt
Title : Optically excited nanoscale ultrasonic transducers
In : The Journal of the Acoustical Society of America -
Address :
Date : jan 2015
</div>

Richard Smith, Fernando Perez, LeonelMarques, Matt Clark,Design and application of nano-scaled transducers,Institute of Physics Optics + Ultrasound One Day Meeting, May 2013, Nottingham, UK

Fernando Perez Cota, M. Clark, K. F. Webb, and R.J. Smith, Nanoscale transducers for picosecond laser ultrasonics in cells,3rd symposium of laser ultrasonics, June 2013, Yokohamma, Japan,