| Depth-resolved polarisation sensitive imaging using a Confocal Mueller matrix ellipsometer |
| David Lara (d.lara@nuigalway.ie) and Chris Dainty (c.dainty@nuigalway.ie) | ||||||||
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1.
Polarisation-sensitive imaging Conventional imaging systems can only be used to record the intensity of light that has been scattered from the object under observation. Hence, some biological tissues and materials appear to be homogenous even when they may possess some kind of internal structure. In some tissues, such as muscle, tendon, the human cornea, and the retina, the assessment of the state of these structures can be a valuable tool in determining the overall health of the biological sample. The human retina, for instance, consists of several layers of different types of cells through which light must pass before reaching the photoreceptors layer. These first layers are transparent in order to maximize the light flux falling onto the photoreceptors, and in regions around the fovea and the head of the optic nerve, some layer elements are arranged radially from the centre of each of these two spots. This sort of arrangement, where transparent fibres are immersed in a medium of different refractive index, produces form birefringence [1]. In this work we introduce a new technique to obtain polarisation sensitive three-dimensional images, which we expect can reveal the anatomical condition of living tissue that possesses polarisation-dependent signatures.
We built a division-of-amplitude Mueller matrix ellipsometer similar to the one used by F. Delplancke in 1997 [2]. A schematic diagram of the setup with the modifications we implemented is shown in Fig. 2. The state of polarisation of the light incident on the sample is modulated using two Pockel's cells. We measure simultaneously the 4 components of the Stokes vector of the light that is scattered from the sample and then passes through a confocal imaging system. For these measurements we use four different polarisation analysers (linearly horizontal, vertical and 45 degrees, and right-circular). We record the 4 modulated signals and use Fourier analysis to obtain the 16 Mueller matrix elements of the sample.
Fig
2. Division-of-amplitude confocal ellipsometer: wavelength,
532 nm; modulation, sawtooth signals of 312.5 and 156.25 Hz;
retardance amplitudes, both equal to half a wavelength; detector
sampling frequencies, 40 kHz (photo).
Fig 3. Modulated retardances (left) and the resulting polarisation states generated repesented on the Poincare sphere(right). The green dots on the sphere correspond to the combination of a vertical pair of dots on the retardances graph.
Fig 4. Raw detected signals and the Fourier series coefficients for each detector. Blue stars and red circles represent the cosine and sine fourier coefficients respectively.
3. Double-pass eigenvalue
calibration - modified from [3] For
the calibration of the double-pass ellipsomeer we implemented
a modified version of the eigenvalue calibration method (ECM)
described previously
by Compain et al [3]. Results show that the
modified ECM can be applied in a douple-pass configuration with
the only assumption being that the Mueller matrix of a 99.9%
reflectivity mirror is known.
Fig 5. Experimental vs theoretical values of the Mueller matrix of a polariser and a retarder at 45 degrees using the confocal ellipsometer (std stands for the standard deviation of 5 measurements).
Fig 6. Theoretical vs experimental values of the Double pass Mueller matrices of 5 different samples (Air, linear polariser at 0, 89.5 and 45 degrees and a third order 633nm Quarter wave retarder at 30 degrees). Bars on the left represent theoretical values and bars on the rigth the experimentally measured values. Standard deviation of 5 measurements are indicated as error bars between the corresponting graph bars.
4. Axially scanned results - First time achievement
Fig 7. Axially scanned Mueller matrix of a dielectric mirror using two different pinhole sizes. Data points represent the mean of 3 measurements. The error bars displayed on the graphs show the standard deviation and in most cases they are smaller than the size of the point marker (Click on image to get pdf).
Fig 8. Stack of retarders between two glass plates.
Fig 9. Depth-resolved Mueller matrices of measured planes through the stack sample. The first reflecting surface appears on the left of the graphs (Click on image to get pdf).
Fig 10. Unit reflectivity depth-resolved Mueller matrices of measured planes through the stack sample. This normalisation results in the changes between the interfaces matrices being due to polarisation only and not intensity fluctuations (Click on image to get pdf).
Fig 11. Retardance, linear retardance azimuth angle and depolarisation power at each interface. Values were calculated based on polar decomposition as explained in [5].
5.
Remarks We have introduced the combination of a depth-resolved confocal imaging system with a complete Mueller matrix ellipsometer. Since the elements of the Mueller matrix that represent a sample are in general linearly independent, polarization sensitive imaging is a 16-dimensional imaging technique that includes intensity as one dimension. we are on the proces of acquiring 3-D polarisation sensitive images from biological samples which is in fact equivalent to developing a 3*16 dimensional imaging device. Despite the evident repeatability of the measurements, we are certain that optical quality of samples plays a significant role on the accuracy of the measurements. One of the advantages of this type of ellipsometer is the possibility of obtaining high speed measurements. With the assistance of Adaptive Optics, this important feature may allow this technique to be implemented on clinical devices such as a Confocal Laser Scanning Ophthalmoscope.
Download David Lara's PhD Thesis (.pdf 12.1 MB / .zip 6.6 MB) |