Open Access
1 May 2007 Angle-resolved Mueller matrix study of light scattering by B-cells at three wavelengths of 442, 633, and 850 nm
Huafeng Ding, Jun Q. Lu, Robert Scott Brock, Thomas J. McConnelll, Jenifer F. Ojeda, Kenneth Jacobs, Xin-Hua Hu
Author Affiliations +
Abstract
Angle-resolved signals of polarized light scattered by biological cells provide rich information on cell morphology. Quantitative study of these signals can lead to new methods to develop and improve high-throughput instrumentation for cell probing such as scattering-based flow cytometry. We employ a goniometer system with a photoelastic modulation scheme to determine selected Mueller matrix elements of B-cell hydrosol samples. The angular dependence of S11, S12, and S34 is determined from the scattered light signals between 10 and 160 deg at the three wavelengths 442, 633, and 850 nm. A finite-difference, time-domain (FDTD) method and coated-sphere model are used to investigate the effect of nuclear refractive index on the angle-resolved Mueller elements at different wavelengths using the 3-D structures of selected B cells reconstructed from confocal images. With these results, we demonstrate the value of the light-scattering method in obtaining the cell morphology information.

1.

Introduction

The optical characterization of biological cells through detection of elastic light scattering and fluorescent signals enabled the high-throughput method of flow cytometry for cell analysis and disorder diagnosis in clinics.1, 2 Compared to the fluorescence measurement, the light-scatter-based detection has the advantages of acquiring rich information on cell morphology without the necessity of staining. The strong correlation between the light-scattering signals in the visible and near-IR regions and cell morphology has been demonstrated by numerous studies, 3, 4, 5, 6, 7 which laid the foundation for cell sorting with light scattering based flow cytometry techniques. 8, 9, 10, 11, 12, 13 Recent development of accurate modeling tools through numerical simulations significantly improved our ability to understand quantitatively the scattering of polarized light by cells of complex morphology. 12, 14, 15, 16, 17, 18 To exploit the full potential of light-scatter-based detection for cell analysis, however, it is necessary to investigate experimentally and theoretically the dependence of light-scattering signals on angle and polarization and their correlations with the intracellular distributions of refractive index. Furthermore, the diverse morphology of biological cells requires the availability of a large database on the experimental and modeling data of light scattering property of these cells. Achievement of these goals will lay a solid foundation for significant development and improvement in the light-scattering-based flow cytometry and other methods.

Among the diverse array of biological cells, human blood cells attract active research interests because of their important roles in the metabolism and immune systems of the human body. B cells are one of two major types of lymphocytes of the white blood cells.19 Compared to other human cells, normal B cells are relatively small with near-spherical shapes for their cytoplasm membranes and relatively simple intracellular structures containing one large nucleus, except in the dividing stage, and few cytoplasmic organelles.20 We chose the human B cells as the subject for our angle-resolved Mueller matrix study of light scattering to extend beyond the previous efforts with either only experimental measurements6, 7, 21 or modeling based on the Mie theory.13, 22 In this paper, we present our first results of a light-scattering study of B cells based on the framework of Stokes parameters and Mueller matrix at the three wavelengths 442, 633, and 850nm . A goniometer system has been constructed to determine the angle-resolved Mueller matrix elements. A parallel finite-difference, time-domain (FDTD) method with 3-D structures of B cells reconstructed from confocal images has been developed to compare the calculated elements with the experimental data.17, 18, 20 We also examined the utility of a coated sphere model as a rapid modeling tool for qualitative understanding the wavelength dependence of the measured data. The experimental and numerical methods are described in the next section followed by the results presented in Sec. 3. We discuss the implication of these results to understand the optical structures of the B cells in the last section.

2.

Experimental and Numerical Methods

2.1.

Analysis of Light Scattering with the Mueller Matrix

For scatterers of size parameter α ranging from about 1 to 100, rigorous treatment of light as electromagnetic fields is necessary for accurate analysis of light scattering, where α=2πaλ , 2a is the characteristic size of the scatterer, and λ is the light wavelength in the host medium. The size parameter of human blood cells ranges often between 10 and 100 in the visible and near-IR regions of the optical spectrum. To fully describe the scattering of polarized light, we adopt a widely used formalism with the Stokes vectors for the incident and scattered light fields and Mueller matrix for the scatterer. Numerous papers and books have been published on this topic, 23, 24, 25, 26, 27, 28 and we limit the description here only to those relevant to the presentation and discussion of our results.

The linearity of the Maxwell equations enables the use of the real valued Stokes vectors and Mueller matrix for relating the intensity signals as

Eq. 1

(IsQsUsVs)=1k2r2(S11S12S13S14S21S22S23S24S31S32S33S34S41S42S43S44)(I0Q0U0V0),
where I , Q , U , and V are the Stokes parameters of the light beam incident (subscript 0) on and the scattered (subscript s ) from the scatterer, k=2πλ is the wave number, r is the distance from the scatterer center to the detector, and Sij (i,j=1,2,3,4) are the elements of the Mueller matrix S characterizing the optical properties of the scatterer. Since the direction of scattered light varies relative to the direction of the incident beam, the elements of both the Stokes vector of the scattered beam and the Mueller matrix are functions of the scattering angles (θs,ϕs) , as illustrated in the scattering plane of ϕs=0deg in Fig. 1 . It is assumed in Eq. 1 that the light detector is in the far-field region of rλ and r2a so that the scattered light can be treated as a spherical wave originating from the scatterer.

Fig. 1

Schematic of the experimental setup: P; polarizer; PE; PE modulator; B, beam expander; L, focusing lens; SH, sample holder; IT, immersion tank; A, analyzer; T, apertured tube; PM, photomultiplier; A/D; analog-to-digital converter. Two lock-in amplifiers were used to measure the f0 and 2f0 signals simultaneously. Inset: Schematic of the sample holder made of black plastic body with a flat sapphire window S. A reflecting insert I is used to direct the transmitted beam to the side channels inside the holder body, marked by the dashed line, and can be removed for aligning the incident laser beam through the holder.

034032_1_030703jbo1.jpg

For scatterers of complex morphology, calculations of the Mueller matrix elements must be pursued numerically by solving the Maxwell equations or the resultant wave equations. Due to the computational complexity of numerical methods, these calculations are mostly practical for scatterers with α less than 100. In contrast, many experimental determinations of the Mueller matrix elements for biological cells have been conducted with hydrosol samples in which multiple cells are illuminated and contribute to the detected signals. The use of multiple cells as the scatterer is necessary because of the difficulty in angle-resolved measurement of the weak signals from a single cell in a large angular range and holding a single cell over a long time ( 100s or longer). Therefore, the effect of multiple cells at random orientations must be considered when the measured and calculated Mueller matrix elements are compared.

For a single scatterer of rigid body, there are at most seven independent elements in the Mueller matrix, which can be derived from a 2×2 amplitude matrix of four complex elements relating the electric fields of the scattered light to the incident.25 In the case of a scatterer with spherical symmetry, the Mueller matrix contains only three independent elements among the eight non-zero elements,25 i.e., S11=S22 , S12=S21 , S33=S44 , S34=S43 , and S112=S122+S332+S342 . Under the conditions of single scattering and random motion, the Mueller matrix of multiple particles in a hydrosol sample is equal to the addition of the matrices of individual particles due to incoherent superposition of the scattered fields.24, 28 For particles of spherical symmetry and identical morphology, the resultant Mueller matrix has the identical form with that of an individual particle with only three independent elements. For biological cells, however, the Mueller matrix elements of multiple cells are expected to be independent of each other in general because of varied morphology within the same type or cell line. In published studies, the elements S12 and S34 attracted active interests for their possible use in distinguishing cells of different structures.6, 7, 21 We chose to measure and calculate S11 , S12 , and S34 for our first results reported here.

2.2.

Experimental Method

We constructed a goniometer system with a photoelastic (PE) modulation scheme for determination of the Mueller matrix elements that has been developed and reported by other researchers.21, 29 The experimental setup is shown schematically in Fig. 1. A PE modulator (PEM90, Hinds Instrument) with birefringence modulated29 at a frequency of f0=50kHz was used to obtain the sinusoidal time dependence of the phase difference ϕ between the e and o components of a linearly polarized laser beam incident on the sample after the focusing lens. The light scattered by the sample along the polar angle θs in the horizontal plane (ϕs0deg) , relative to the incident beam, is passed through an optional analyzer and collected by the photomultiplier. The polarizer P , PE modulator, and analyzer (A) can be represented with their respective Mueller matrices for axial transmission with the Stokes vectors of the detected light given by

Eq. 2

(IdQdUdVd)=1kr2MAS(θs)MPEM(t)MP(IiQiUiVi),
where S(θs) is the Mueller matrix of the scatterer, as defined in Eq. 1. The other three Mueller matrices are those of the optical components and the Stokes vectors with subscript i represents the incident beam from a laser. If the optical axis of the polarizer P is chosen to be in the scattering (horizontal) plane, Eq. 2 can be simplified to

Eq. 3

(IdQdUdVd)=CMAS(θs)MPEM(t)(1100),
where we used the fact that (MP)11=(MP)12=(MP)21=(MP)22=0.5 and C=Ii+Qikr2 is a system constant depending on wavelength, selected devices, and measurement configuration.

By choosing appropriate orientations, the Mueller matrices of MA and MPEM can be made in such forms that the optical power signal Id(θs,t) arriving at the photomultiplier can be expressed30 as different combinations of the elements of S(θs) . Further, the modulation of the birefringence in the PE modulator leads to the elements of MPEM(t) as the sinusoidal function of time or f0t , allowing a Fourier expansion of Id(θs,t) . With this scheme, the elements of S(θs) can be extracted from Id(θs,t) from the dc, fundamental (f0) , and second harmonic (2f0) components. For our measurements, we oriented the optical axis of the PE modulator at 45deg to the horizontal axis with three different analyzer configurations described below for determination of the elements S11 , S12 , and S34 .

In the first configuration, the analyzer A is taken out and the scattered optical power signal is given by

4.

Eq. 4a

Id=C[S11+S12J0(ϕ0)+2S14J1(ϕ0)sin(2πf0t)+2S12J2(ϕ0)cos(4πf0t)],
where the high-frequency terms of f> 2f0 are dropped, Ji is the i ’th order Bessel function of the first kind, and ϕ0 is the amplitude of the modulated phase difference ϕ . If ϕ0 is adjusted so that J0(ϕ0)=0 , then Eq. 4a simplifies to

Eq. 4b

Id=C[S11+1.038S14sin(2πf0t)+0.8636S12cos(4πf0t)].
In the other two configurations using the analyzer A , we find

Eq. 5

Id=C[S11+S21+1.038(S14+S24)sin(2πf0t) +0.8636(S12+S22)cos(4πf0t)],
for A oriented at 0deg with respect to the horizontal axis, or

Eq. 6

Id=C[S11+S31+1.038(S14+S34)sin(2πf0t) +0.8636(S12+S32)cos(4πf0t)],
for A orientated at 45deg . From the preceding results, one can see that the normalized elements sij=SijS11 can be directly determined from the ratios of the f0 and 2f0 components to the dc component of the signal Id . In comparison, the single-scattering phase function S11 can only be determined from the dc component within a proportional constant. Due to the long time required (20min) for each goniometer scan from 11 to 160deg , we limited the cell measurements to within 4h at one wavelength for each cell sample to ensure the uniformity of different samples on cell viability. For this reason, we concentrate this study on the angular distributions of S11 , s12 , and s34 , which are presented in the following.

Three different continuous-wave lasers were used separately to obtain an incident beam at one of three wavelengths of 442, 633, and 850nm with a power between 1.5 and 3.0mW . The incident beam from a selected laser was expanded to a diameter of about 10mm and then focused by a lens of 700mm in focal length to create a long beam waist at the center of the sample holder with a diameter of about 0.2mm . A sample holder of black Plexiglas was designed to reduce stray light background and is illustrated in the inset of Fig. 1. A flat sapphire window of 12mm diameter and a semicircle glass window of 25.0mm inside diameter were glued to the holder at the entrance and exit, respectively, for reducing distortion of the incident and scattered light beam profiles. To further decrease the distortion of the scattered light beam profile at the glass cylinder, the sample holder was immersed in a larger water tank of 243mm diameter with a flat entrance window. The incident beam profile inside the holder was measured and found to be close to Gaussian using a knife-edge method to measure the beam diameter variation along the beam axis. The blackbody of the holder and an apertured tube of 200mm length placed in front of the photomultiplier proved very effective in minimizing the stray light background in the detected signals.

A photomultiplier (R6356, Hamamatsu) was rotated on a circular track of 475mm radius in the horizontal plane around the central axis of the sample holder to measure the modulated light signal Id at scattering angle θs between 11 and 160deg . The electronic system consists of an analog-to-digital (A/D) converter (KPCI-3103, Keithley) for measurement of the dc components and two dual-phase lock-in amplifiers (SR830, Stanford Research) for the first (f0) and second-harmonic (2f0) components of the signal from the photomultiplier. The electronic signals from the lock-in amplifier have varying phase angles between the signals from the photomultiplier and the reference from the PE modulator controller. These angles change by 180deg during a goniometer scan and correspond to the sign change of the Mueller matrix elements represented by the amplitude of harmonic terms in Eqs. 4 to 5. The relation between the lock-in phase angle of the electronic signals and the sign of the Mueller matrix elements of the sample was determined from the calibration measurements with the polystyrene microspheres. A computer was used to control a stepping motor for rotating the analyzer-detector assembly at 1deg per step and to acquire signals from the A/D converter and lock-in amplifiers.

2.3.

Sample Preparation

Two types of hydrosol samples were used in our experiment: polystyrene microspheres suspended in deionized water for system validation and B cells suspended in culture medium. The hydrosol sample was placed into the holder with a pipette and all measurements were carried out at a room temperature of about 22°C . The sphere suspensions were prepared by diluting from the solution of 10% concentration in weight (5100B, Duke Scientific) which has a mean diameter of 1μm and a coefficient of variance of 3%. Small samples of the suspensions were drawn to be examined for sphere aggregation under microscope before system calibration. If aggregations were observed, a small drop of dispersing agent (TWEEN 20, USB) was added to the suspension to eliminate sphere aggregation.

Cell suspensions were prepared for goniometer measurements from cultured NALM-6 cells. The NALM-6 cell line was derived from human B cells extracted from the peripheral blood of a patient with acute lymphoblastic leukemia.31 These cells were cultured in a standard media containing the following: 75ml of AmnioMax basal (Invitrogen Corp., Carlsbad, California), 12.5ml of AmnioMax supplement (Invitrogen Corp., Carlsbad, California), 87.5ml of minimal essential media (Invitrogen Corp., Carlsbad, California), 20ml of fetal bovine serum (Invitrogen Corp., Carlsbad, California), 2ml of L -glutamine (Invitrogen Corp., Carlsbad, California), and 2ml of penicillin/streptomycin (Invitrogen Corp., Carlsbad, California). Fresh culture media was added to the NALM-6 cells 10 days before they were used in each goniometer measurement to ensure that the majority of the cells were in resting (G0) phase due to lack of nutrients, as opposed to the addition of fresh media every 3 to 4 days when the NALM-6 cells were maintained in log phase and not prepared for scattering measurements.

2.4.

Confocal Imaging and FDTD Calculations

To account for the complex morphology of biological cells in the modeling, we developed a method to reconstruct the 3-D structure of cultured B cells from their confocal images.20 Cultured B cells were stained with a fluorescence red dye of SYTO 61 for differential staining of the nucleus and cytoplasm followed by confocal imaging to extract the shapes of the nuclear boundary and cytoplasm membrane. The stacks of the confocal images were processed by an in-house developed software to obtain the 3-D structure of the B cells with two elements: the nucleus and the cytoplasm. Different values of real refractive indices for the nucleus (nn) , cytoplasm (nc) , and host medium (nh) outside the cytoplasm membrane were assigned in the FDTD code for calculations of the angle-resolved Mueller matrix elements of a single B cell.

A parallel FDTD code has been built by our group.18 Briefly, the FDTD method discretizes the two curl Maxwell equations with a Yee cell scheme in the near-field region around the scatterer where the optical heterogeneity is described in terms of spatial distribution of refractive index within the cell.14, 32 Once the electric and magnetic fields are solved in the near-field region in the time domain, the far-field scattered light fields in the frequency space are obtained through the Green formalism. The Mueller matrix elements can then be determined from the relation between the incident and scattered light fields as a function of the scattering angles of θs and ϕs when the cell is oriented along a direction of angle θ0 and ϕ0 relative to the incident beam.17 In our FDTD calculations, the size of the discretizing grid cell was set at λ20 . For each B cell, the matrix elements were obtained as a function of θs by averaging over ϕs at each of 12 orientations of the cell uniformly distributed in the 4π range of (θ0,ϕ0) . A second averaging was performed over the 12 orientations for each calculated matrix element to take into account of the random orientations of a suspended cell in a hydrosol sample. We also performed cell-averaging with two selected B cells to examine the effect of cell morphology on the FDTD results. The calculated element of S11 presented in the following figures were all normalized to 4π over the solid angle range of 4π .

3.

Results

3.1.

System Calibration

The goniometer system was first calibrated with microsphere suspensions. To ensure a single-scattering approximation, the sphere concentration was reduced by a factor of about 50,000 from the purchased aqueous solution of 10% by weight to 4.8×102spheresμL . At this concentration level, the S11 signal was found to change linearly with the concentration and the dc, fundamental, and second-harmonic components were acquired to determine S11 , S12 , and S34 . Data processing consists of four steps: (1) subtraction of background signals measured with deionized water in the sample holder; (2) removal of the effect of different sample volume “seen” by the detector at different angular positions with a volume scaling factor; (3) determination of the element S11 within an adjustable constant from the dc signal and other Mueller matrix elements by combining the measured amplitude and phase angle of the lock-in signals; and (4) normalization of the processed signals by dividing different harmonic signals by the dc signal to determine the matrix elements normalized by S11 . For the second step, a volume scaling factor was numerically calculated from the system geometry and the angular range of the apertured detector tube, 5.42×103rad or about 0.31deg , as a function of θs and is presented in Fig. 2 . The validation measurements were carried out at each of the three wavelengths 442, 633, and 850nm and repeated before each measurement of cell suspension as a part of system alignment and calibration. One set of typical results of Mueller matrix elements S11 , s12 , and s34 are shown in Fig. 3 . The measured element S11 is plotted with a scaling parameter, corresponding to the constant C in Eq. 4a, by fitting to the calculated curve based on the Mie theory using refractive indices of water as nh and polystyrene sphere as nsp (Ref. 33). The angular distributions of other normalized matrix elements sij were obtained by the ratios of measured elements to the measured S11 without any adjustable parameter. One can see from these results that S11 agrees well to the calculated values while other elements agree to lesser degrees. Specifically, the characteristic oscillations in the angle-resolved elements match consistently with the predicted values from a single sphere but the oscillation amplitudes are reduced. We attribute the difference between the amplitudes of oscillation to the angle-averaging effect by the multiple spheres contributing to the detected signals, fluctuation in sphere diameter and possible residue sphere aggregation in the suspension causing breakdown in single-scattering approximation. At large scattering angles the element S11 becomes very weak and SNRs are consequently low. This causes large fluctuations in S11 at these angles and in normalized values of other elements, as manifested by the measured values of s12 and s34 exceeding 1 near 140deg .

Fig. 2

Calculated sample volume “seen” by the detector versus the scattering angle θs .

034032_1_030703jbo2.jpg

Fig. 3

Measured and calculated Mueller matrix elements S11 , s12=S12S11 , and s34=S34S11 versus the scattering angle θs for water suspension of polystyrene microsphere with diameter of 1.00μm at 633nm . The solid lines were obtained from the Mie theory with nh=1.332 and nsp=1.582 for a single sphere and the measured S11 was fitted to the calculated results with one adjustable constant. The normalized elements are plotted with no fitting.

034032_1_030703jbo3.jpg

3.2.

Experimentally Determined Matrix Elements of B-Cell Suspensions

B-cell hydrosol samples were prepared from the NALM-6 cell culture by a 9:1 dilution with 0.9% saline solution to a concentration of about 2.34×102cellsμL , which was set by a similar signal linearity check to ensure the single-scattering approximation. With the signal acquisition procedures identical to those described in the previous section, the Mueller matrix elements S11 , normalized elements s12 and s34 were determined as a function of scattering angle θs at each of the three wavelengths 442, 633, and 850nm . Determination of these elements for each hydrosol sample required three goniometer scans with a different analyzer configuration and took about 60min to complete. Each sample was replaced after three scans with fresh cells, which were kept in an incubator at 37°C during the day of measurements. All measurements were performed at a room temperature of about 22°C . At each wavelength, the measurements were repeated on three different cell samples to obtain three sets of angle-resolved Mueller matrix elements. The measured results are plotted in Fig. 4 with symbols and error bars representing the mean and standard deviation of the three data sets, respectively. The elements S11 contains an adjustable parameter that was determined from the microsphere calibration results performed at each wavelength before the cell measurements.

Fig. 4

Angle-resolved Mueller matrix elements of B-cell suspension samples at wavelengths of λ=442 , 633, and 850nm . The data points and selected error bars represent the mean and standard deviation of three measurements with different cell samples.

034032_1_030703jbo4.jpg

3.3.

Confocal Imaging and FDTD Calculations

To justify the comparison between the experimentally determined Mueller matrix elements and calculated elements of a single cell, we analyzed the variation of the morphology of the B cells in culture using a confocal microscope (LSM 510, Zeiss). The confocal images were acquired of 79 B cells randomly selected in the culture. Analysis of these images showed that the majority of cells (87%) contains single nuclei with shapes closely resembling spheres or ellipsoids while the rest (13%) is in the mitosis phase with two nuclei in each cell. Based on these observations, we selected two typical B cells to investigate the effect of cell morphology with cell 8 as an example of single-nucleus cells and cell 10 of two-nucleus cells. Using previously developed software,20 we reconstructed the 3-D structures and imported them into our parallel FDTD code to calculate the Mueller matrix elements for comparison. The calculated elements for each cell were averaged over the scattering angle ϕs and 12 orientations, as described before, to simulate the effect of random orientations of suspended cells in the hydrosol sample. The FDTD calculations were executed on parallel computing clusters of either 96 or 32 processing elements with Intel 3.06GHz Xeon CPU. The FDTD calculations of matrix elements took about 100min for each orientation and 20h for the orientation-averaged elements for each of cells 8 or 10 at λ=1μm on the 96-processing-element cluster. For shorter wavelengths of 633 and 850nm , the simulation time becomes significantly larger because it scales as λn with 3<n<4 for a fixed grid cell size set at λ20 .

To reduce the simulation time, we initially chose the wavelength of 1μm to investigate the effect of cell morphology on the averaged angular distributions of the Mueller matrix elements of S11 , s12 , and s34 . Two cells, 8 and 10, were selected from the confocal image stacks as the representative cases of B cells with one or two nuclei, respectively, using the same set of refractive indices of nh=1.350 , nc=1.368 , and nn=1.400 . The three matrix elements of 12 different orientations and the averaged ones are presented side by side in Fig. 5 , which show similar angular dependence. Based on this conclusion, we limit our FDTD calculations to obtain the orientation-averaged elements for cells 8 and 10 with different values of refractive indices at λ=633 and 850nm for comparison with the experimentally determined elements. These results are plotted in Fig. 6 to compare the effects of wavelength and the cell averaging. The cell-averaged elements are defined as the weighed sum of elements of cell 8 (87%) and cell 10 (13%), which demonstrated nearly identical angular dependence with those of cell 8 alone, indicating the weak influence of the nuclear shape at the adopted small index contrast on the considered Mueller matrix elements. Based on this conclusion, we carried out FDTD simulations with only cell 8 with three different values of nuclear index for comparison with the measured elements. The element comparison is limited at the wavelength of 850nm to make the simulation time acceptable and results are presented in Fig. 7 .

Fig. 5

Angle-resolved Mueller matrix elements of normalized S11 , s12=S12S11 , and s34=S34S11 calculated by the FDTD method for two B cells of 3-D structures reconstructed from their confocal images with refractive indices set at nh=1.330 for the host medium, nc=1.368 for the cytoplasm, and nn=1.4000 for the nucleus. The thin colored lines are obtained at each of 12 different orientations relative to the incident light beam of wavelength λ=1.00μm and the thick black lines are the averaged elements over the 12 orientations. The insets are the transparent views of B cell 8 (volume= 566μm3 ) and cell 10 (628μm3) . (Color online only.)

034032_1_030703jbo5.jpg

Fig. 6

Angle-resolved Mueller matrix elements of normalized S11 , s12 , and s34 calculated by the FDTD method for B cells 8 and 10 of 3-D structures reconstructed from their confocal images with refractive indices set at nh=1.336 for the host medium; nc=1.380 for the cytoplasm, and nn=1.430 for the nucleus at λ=633nm and nh=1.330 , nc=1.368 , and nn=1.400 , at λ=850nm . All calculated elements are the averaged values over 12 orientations for each cell and the figures in the left panel are the averaged elements of cell 8 (87% weight)and cell 10 (13% weight).

034032_1_030703jbo6.jpg

Fig. 7

Angle-resolved Mueller matrix elements of S11 , s12 , and s34 at λ=850nm . The mean values of the measured results are represented by solid lines and FDTD simulated results by dashed or dash-dotted lines with the reconstructed B cell 8 structure of nh=1.330 , nc=1.368 , and different nuclear indices nn .

034032_1_030703jbo7.jpg

The FDTD calculations at λ=442nm require much longer simulation times and exceed our allocated computing time. To study fully the effect of wavelength, we also employed a coated sphere model34 in which the volumes of the inner sphere and coating were set to be identical to those of cell 8. The same sets of refractive indices of index nn for the nucleus (inner sphere) and nc for the cytoplasm (coating) were adopted for the wavelengths of 850 and 633nm and higher values were used for 442nm . The three independent matrix elements of S11 , s12 , and s34 of the coated spheres were obtained and are presented in Fig. 8 . To account for the varied cell morphologies, these elements were averaged over a Gaussian distribution of the inner sphere radius rn and outer radius of the coating rc over ±20% of assigned values, nn over ±3.6% and nc over ±0.8% to reduce the characteristic angular oscillation for a single sphere of fixed radius.

Fig. 8

Angle-resolved Mueller matrix elements of normalized S11 , s12 , and s34 calculated by a coated sphere model with the mean inner radius rn=4.143μm and outer radius rc=5.133μm . The mean values of the refractive indices were assigned as nh=1.342 , nc=1.400 , and nn=1.460 at λ=442nm ; nh=1.336 , nc=1.380 , and nn=1.430 at λ=633nm ; and nh=1.330 , nc=1.368 , and nn=1.400 at λ=850nm . The elements are the values averaged over the coated spheres of Gaussian distributions with ±20 % on rn and rc and ±3.6 % on nn and ±0.8 % on nc .

034032_1_030703jbo8.jpg

4.

Discussion

Light scattering by biological cells contains rich information on cell morphology that could be used for noninvasive detection and differentiation of biological cells. The difficulties in acquisition and modeling of light scattering data, however, present substantial challenges. In this paper, we report the experimentally determined Mueller matrix elements of B cells in suspension with a goniometer system and comparison to the calculated elements using the FDTD method and a coated sphere model. A comparison of the measured element S11 or the phase function with the FDTD simulation results in Fig. 7 shows that the adopted B-cell model may significantly underestimate the scattered light intensity at large scattering angles, which is similar to those reported in Ref. 16, p. 174, between 11 and 160deg for θs . Consequently, this could cause the overestimation of other normalized Mueller matrix elements at these angles.

It has been reported that wavelength dependence of the polarized backscattered (θs180deg) light can be used to determine the size and refractive index of cell nuclei by comparison with the Mie theory.35 Based on the definition of the Stokes parameters and Mueller matrix,25 it is easy to show that the normalized element s12 represents the ability of a sample, the B cells in our case, to scatter incident light polarized parallel to the scattering (or horizontal) plane relative to the perpendicularly polarized. Specifically, one can write

Eq. 7

s12(θs)=I(θs)I(θs)I(θs)+I(θs),
where I(θs) is the scattered irradiance at θs with an incident light beam of horizontal polarization, and I(θs) is that with an incident beam of vertical polarization. With the preceding relation, the measured data, shown as s12(θs) in Fig. 4, can be interpreted to mean that B cells have stronger ability to scatter vertically polarized incident light than the horizontally polarized for positive values of s12 , which reaches a maximum near θs80deg . Moreover, a careful examination of the data in Fig. 4 indicates that the angle of maximum s12 , θsm , shifts toward larger values as λ decreases with θsm=82 , 84, and 86deg at λ=850 , 633, and 442nm , respectively. Even though the θsm shift is relatively small, it is large enough to exhibit a strong correlation with wavelength. In addition, we found from Figs. 6 and 7 that the peak value of the element s12 decreases with the increasing wavelength or nuclear index. But the comparison of the measured results with the FDTD results, as shown in Fig. 7, indicated a possible oversimplification by presently used B-cell structures with one or two homogeneous nuclei as the only intracellular component in the cytoplasm. Note that s12(θs) of unicellular green algae Chlorella of nearly spherical shapes and 2 to 5μm in diameters has been measured with θsm found36 at about 95deg at λ=442nm , while similar results were reported21 for other Phytoplankton cells with θsm90deg at λ=633nm . Taken together, one may conclude that the angular dependence of the element s12(θs) , in addition to the wavelength dependence, can provide rich information on the intracellular cellular distribution of refractive index.

The accurate method of FDTD provides a characteristic Gaussian shaped pattern in s12(θs) by modeling just one single B cell as the scatterer. By contrast, the coated sphere model, even using the same set of the mean values of refractive indices and radii and averaged over a fairly large range of radii, still deviate significantly from the measured shapes of s12(θs) and s34(θs) . This fact strongly suggests that the nonspherical features of the biological cells (even in the case of B cells) play a vital role in determining the angular distribution of the Mueller matrix elements.20 In comparison to s12(θs) , a large difference exists between the measured and calculated element of s34(θs) , which represents the ability of a scatter to transform a linearly polarized ( 45deg from the horizontal direction) incident beam into a circularly polarized scattered beam. On close examination of the calculated s34(θs) , we notice that the FDTD results exhibit the angular dependence closer to the measured data than the coated sphere results despite the fact that both models employ the same volumes and refractive indices of the nucleus and cytoplasm from the structure of cell 8. This indicates the sensitivity of the element s34(θs) on the nonspherical aspect of the cellular morphology. We also observe that both the FDTD and coated sphere models correctly predict a decreasing θsm with increasing λ in s12(θs) , as demonstrated by the experimental data although at angles different from the measured values. This fact reveals the value of coated sphere models as a rapid modeling tool for estimation of those Mueller matrix elements which do not vanish for scatterers of spherical symmetry.

To fully utilize the potential of light scattering for study of cell optics, it is necessary to develop a comprehensive database of measured and calculated Mueller matrix elements of biological cells. We hope the first results reported here can stimulate the interests and efforts toward this goal. Currently, the computing complexity of the FDTD method is the major roadblock to our efforts to study the index distributions in B cells and improve the modeling of intracellular structures. Research is underway to adapt efficient modeling methods such as the discrete dipole approximation12, 37 for modeling of light scattering by B cells and other cells and results will be reported elsewhere.

In summary, we presented the use of a goniometer system to determine the Mueller matrix elements of suspension samples of B cells. With an FDTD method and 3-D structures reconstructed from confocal images of the B cells, the measured elements were compared to the calculated results and a close correlation has been observed. Therefore, these results provided strong evidence that information on cell morphology and intracellular distributions of refractive index could be extracted from the angle-resolved measurements of light scatter and associated polarization changes.

Acknowledgments

We thank Dr. D. A. Weidner for his help on confocal imaging of the B cells and Drs. H. Volten and J. R. Mourant for their helpful suggestions on goniometer design and calibration. This work was supported in part by the National Institutes of Health (NIH) Grant No. IR15GM70798-01, by the National Partnership for Advanced Computational Infrastructure (NPACI) through computing time allocations, and by an internal research grant from the Department of Physics, East Carolina University, through the establishment of a computing cluster.

References

1. 

A. D. Michelson, M. R. Barnard, L. A. Krueger, A. L. Frelinger III, M. I. Furman, “Evaluation of platelet function by flow cytometry,” Methods, 21 (3), 259 –270 (2000). 1046-2023 Google Scholar

2. 

G. S. Nowakowski, T. E. Witzig, D. Dingli, M. J. Tracz, M. A. Gertz, M. Q. Lacy, J. A. Lust, A. Dispenzieri, P. R. Greipp, R. A. Kyle, and S. V. Rajkumar, “Circulating plasma cells detected by flow cytometry as a predictor of survival in 302 patients with newly diagnosed multiple myeloma,” Blood, 106 (7), 2276 –2279 (2005). 0006-4971 Google Scholar

3. 

P. J. Wyatt and D. T. Phillips, “Structure of single bacteria from light scattering,” J. Theor. Biol., 37 (3), 493 –501 (1972). https://doi.org/10.1016/0022-5193(72)90087-2 0022-5193 Google Scholar

4. 

A. Brunsting and P. Mullaney, “Differential light scattering from spherical mammalian cells,” Biophys. J., 14 439 –453 (1974). 0006-3495 Google Scholar

5. 

G. C. Salzman, J. M. Crowell, J. C. Martin, T. T. Trujillo, A. Romero, P. F. Mullaney, and P. M. LaBauve, “Cell classification by laser light scattering: Identification and separation of unstained leukocytes,” Acta Cytol., 19 (4), 374 –377 (1975). 0001-5547 Google Scholar

6. 

W. S. Bickel, J. F. Davidson, D. R. Huffman, and R. Kilkson, “Application of polarization effects in light scattering: A new biophysical tool,” Proc. Natl. Acad. Sci. U.S.A., 73 486 –490 (1976). https://doi.org/10.1073/pnas.73.2.486 0027-8424 Google Scholar

7. 

W. S. Bickel and M. E. Stafford, “Polarized light scattering from biological systems: a technique for cell differentiation,” J. Biol. Phys., 9 53 –66 (1981). https://doi.org/10.1007/BF01987283 0092-0606 Google Scholar

8. 

M. R. Melamed, T. Lindmo, and M. L. Mendelsohn, Flow Cytometry and Sorting, Wiley-Liss, New York (1990). Google Scholar

9. 

J. T. Soini, A. V. Chernyshev, P. E. Hanninen, E. Soini, and V. P. Maltsev, “A new design of the flow cuvette and optical set-up for the scanning flow cytometer,” Cytometry, 31 (2), 78 –84 (1998). https://doi.org/10.1002/(SICI)1097-0320(19980201)31:2<78::AID-CYTO2>3.0.CO;2-E 0196-4763 Google Scholar

10. 

V. P. Maltsev, “Scanning flow cytometry for individual particle analysis,” Rev. Sci. Instrum., 71 243 –255 (2000). https://doi.org/10.1063/1.1150190 0034-6748 Google Scholar

11. 

C. Yao, Z. Li, and Z. Zhang, “New algorithm and system for measuring size distribution of blood cells,” Chin. Opt. Lett., 2 (6), 343 –346 (2004). 1671-7694 Google Scholar

12. 

M. A. Yurkin, K. A. Semyanov, P. A. Tarasov, A. V. Chernyshev, A. G. Hoekstra, and V. P. Maltsev, “Experimental and theoretical study of light scattering by individual mature red blood cells by use of scanning flow cytometry and a discrete dipole approximation,” Appl. Opt., 44 (25), 5249 –5256 (2005). https://doi.org/10.1364/AO.44.005249 0003-6935 Google Scholar

13. 

A. Zharinov, P. Tarasov, A. Shvalov, K. Semyanov, D. R. van Bockstaele, V. P. Maltsev, “A study of light scattering of mononuclear blood cells with scanning flow cytometry,” J. Quant. Spectorsc. Radiat. Transf., 102 (1), 121 –128 (2006). Google Scholar

14. 

A. Dunn and R. Richard-Kortum, “Three-dimensional computation of light scattering from cells,” IEEE J. Sel. Top. Quantum Electron., 2 898 –890 (1996). https://doi.org/10.1109/2944.577313 1077-260X Google Scholar

15. 

T. Wriedt, “A review of elastic light scattering theories,” Part. Part. Syst. Charact., 15 67 –74 (1998). https://doi.org/10.1002/(SICI)1521-4117(199804)15:2<67::AID-PPSC67>3.3.CO;2-6 0934-0866 Google Scholar

16. 

R. Drezek, A. Dunn, and R. Richards-Kortum, “Light scattering from cells: Finite-difference time-domain simulations and goniometric measurements,” Appl. Opt., 38 (16), 3651 –3661 (1999). 0003-6935 Google Scholar

17. 

J. Q. Lu, P. Yang, and X. H. Hu, “Simulations of light scattering from a biconcave red blood cell using the FDTD method,” J. Biomed. Opt., 10 (2), 024022 (2005). https://doi.org/10.1117/1.1897397 1083-3668 Google Scholar

18. 

R. S. Brock, X. H. Hu, P. Yang, and J. Q. Lu, “Evaluation of a parallel FDTD code and application to modeling of light scattering by deformed red blood cells,” Opt. Express, 13 (14), 5279 –5292 (2005). https://doi.org/10.1364/OPEX.13.005279 1094-4087 Google Scholar

19. 

D. C. Parker, “T cell-dependent B cell activation,” Annu. Rev. Immunol., 11 331 –360 (1993). 0732-0582 Google Scholar

20. 

R. S. Brock, X. H. Hu, D. A. Weidner, J. R. Mourant, and J. Q. Lu, “Effect of detailed cell structure on light scattering distribution: FDTD study of a B-cell with 3D structure constructed from confocal images,” J. Quant. Spectrosc. Radiat. Transf., 102 25 –36 (2006). Google Scholar

21. 

H. Volten, J. F. de Haan, J. W. Hovenier, R. Schreus, W. Vassen, A. G. Dekker, H. J. Hoogenboom, F. Charlton, and R. Wouts, “Laboratory measurements of angular distributions of light scattered by phytoplankton and silt,” Limnol. Oceanogr., 43 (6), 1180 –1197 (1998). 0024-3590 Google Scholar

22. 

J. R. Mourant, M. Canpolat, C. Brocker, O. Esponda-Ramos, T. M. Johnson, A. Matanock, K. Stetter, and J. P. Freyer, “Light scattering from cells: The contribution of the nucleus and the effects of proliferative status,” J. Biomed. Opt., 5 (2), 131 –137 (2000). https://doi.org/10.1117/1.429979 1083-3668 Google Scholar

23. 

H. C. van de Hulst, Light Scattering by Small Particles, Wiley,1957). Google Scholar

24. 

E. S. Fry and G. W. Kattawar, “Relationships between elements of the Stokes matrix,” Appl. Opt., 20 (16), 2811 –2814 (1981). 0003-6935 Google Scholar

25. 

C. F. Bohren and D. R. Huffman, Absorption and Scattering of Light by Small Particles, Wiley, New York (1983). Google Scholar

26. 

J. W. Hovenier, H. C. van de Hulst, and C. V. M. van der Mee, “Conditions for the elements of the scattering matrix,” Astron. Astrophys., 157 301 –310 (1986). 0004-6361 Google Scholar

27. 

Y. L. Xu, “Scattering Mueller matrix of an ensemble of variously shaped small particles,” J. Opt. Soc. Am. A, 20 (11), 2093 –2105 (2003). 0740-3232 Google Scholar

28. 

M. I. Mishchenko, J. W. Hovenier, and D. W. Mackowski, “Single scattering by a small volume element,” J. Opt. Soc. Am. A, 21 (1), 71 –87 (2004). https://doi.org/10.1364/JOSAA.21.000071 0740-3232 Google Scholar

29. 

A. J. Hunt and D. R. Huffman, “A new polarization-modulated light scattering instrument,” Rev. Sci. Instrum., 44 (12), 1753 –1762 (1973). https://doi.org/10.1063/1.1686049 0034-6748 Google Scholar

30. 

F. Kuik, P. Stammes, and J. W. Hovenier, “Experimental determination of scattering matrices of water droplets and quartz particles,” Appl. Opt., 30 (33), 4872 –4881 (1991). 0003-6935 Google Scholar

31. 

H. R. Hurwitz, J. Hozier, T. LeBien, J. Minowada, K. Gajl-Peczalska, I. Kubonishi, and I. Kersey, “Characterization of a leukemic cell line of the pre-B phenotype,” Int. J. Cancer, 23 174 –180 (1979). 0020-7136 Google Scholar

32. 

A. Taflove and S. C. Hagness, Computational Electrodynamics: The Finite-Difference Time-Domain Method, Artech House, Boston (2000). Google Scholar

33. 

X. Ma, J. Q. Lu, R. S. Brock, K. M. Jacobs, P. Yang, and X. H. Hu, “Determination of complex refractive index of polystyrene microspheres from 370 to 1610nm,” Phys. Med. Biol., 48 (24), 4165 –4172 (2003). https://doi.org/10.1088/0031-9155/48/24/013 0031-9155 Google Scholar

34. 

O. B. Toon and T. P. Ackerman, “Algorithms for the calculation of scattering by stratified spheres,” Appl. Opt., 20 (20), 3657 –3660 (1981). 0003-6935 Google Scholar

35. 

V. Backman, R. Gurjar, K. Badizadegan, I. Itzkan, R. R. Dasari, L. T. Perelman, and M. S. Feld, “Polarized light scattering spectroscopy for quantitative measurement of epithelial cellular structures in situ,” IEEE J. Sel. Areas Commun., 5 (4), 1019 –1026 (1999). 0733-8716 Google Scholar

36. 

M. S. Quinby-Hunt, A. J. Hunt, K. Lofltus, and D. Shapiro, “Polarized-light scattering studies of marine Chlorella,” Limnol. Oceanogr., 34 (8), 1587 –1600 (1989). 0024-3590 Google Scholar

37. 

B. T. Draine and P. J. Flatau, “Discrete-dipole approximation for scattering calculations,” J. Opt. Soc. Am. A, 11 (4), 1491 –1499 (1994). 0740-3232 Google Scholar
©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)
Huafeng Ding, Jun Q. Lu, Robert Scott Brock, Thomas J. McConnelll, Jenifer F. Ojeda, Kenneth Jacobs, and Xin-Hua Hu "Angle-resolved Mueller matrix study of light scattering by B-cells at three wavelengths of 442, 633, and 850 nm," Journal of Biomedical Optics 12(3), 034032 (1 May 2007). https://doi.org/10.1117/1.2749730
Published: 1 May 2007
Lens.org Logo
CITATIONS
Cited by 48 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Light scattering

Finite-difference time-domain method

Chemical elements

Optical spheres

Signal detection

Refractive index

Scattering

Back to Top