Loes I.
Segerink
*,
Ad J.
Sprenkels
,
Paul M.
ter Braak
,
Istvan
Vermes
and
Albert
van den Berg
BIOS - the Lab-on-a-Chip group, MESA+ Institute of Nanotechnology, University of Twente, P.O. box 217, 7500, AE Enschede, The Netherlands. E-mail: l.i.segerink@utwente.nl
First published on 4th February 2010
In this article we describe the development of a microfluidic chip to determine the concentration of spermatozoa in semen, which is a main quality parameter for the fertility of a man. A microfluidic glass-glass chip is used, consisting of a microchannel with a planar electrode pair that allows the detection of spermatozoa passing the electrodes using electrical impedance measurements. Cells other than spermatozoa in semen also cause a change in impedance when passing the electrodes, interfering with the spermatozoa count. We demonstrate that the change in electrical impedance is related to the size of cells passing the electrodes, allowing to distinguish between spermatozoa and HL-60 cells suspended in washing medium. In the same way we are able to distinguish between polystyrene beads and spermatozoa. Thus, by adding a known concentration of polystyrene beads to a boar semen sample, the spermatozoa concentrations of seven mixtures are measured and show a good correlation with the actual concentration (R2-value = 0.97). To our knowledge this is the first time that the concentration of spermatozoa has been determined on chip using electrical impedance measurements without a need to know the actual flow speed. The proposed method to determine the concentration can be easily applied to other cells. The described on-chip determination of the spermatozoa concentration is a first step towards a microfluidic system for a complete quality analysis of semen.
In general, glass-based microfluidic chips are very well suited to analyze cells4,5 and for disposable diagnostic systems for medical purposes.6 In this paper we will focus on the detection of spermatozoa and the determination of spermatozoa concentration on chip using electrical impedance measurements. In order to determine the concentration of cells in suspensions electrical impedance measurements on chip have already been reported,7,8 however for a reliable result the volume fraction of the cells in the suspension needs to be high.9 Since the volume fraction of spermatozoa is low (0.1% for 20 × 106 mL−1), the cells need to be analyzed in a small measurement volume, also known as single cell analysis. One of the earliest reported single cell impedance measurements were performed by Coulter about 50 years ago.10 Later, Brotherton and Barnard used a so-called Coulter counter to estimate the human spermatozoa concentration, but it was only applicable for concentrations above 5 × 106 mL−1.11
The need for analyzing smaller sample volumes and cost reduction resulted in the development of a microfabricated version of the Coulter counter. Previous studies showed that with two electrode pairs in a microchannel it is possible to discriminate among bead sizes, different cells and various phytoplankton, if the differential impedance variation between the two pairs was measured at two frequencies.12–15 Systems with top–bottom electrodes, measuring at only a single frequency, were also able to distinguish between bead sizes, even at a higher throughput.16 However, in none of these approaches concentrations larger than 2 × 106 mL−1 were used12,14,16 and none of the reported systems was able to determine the concentration of the specimens in the fluid.
In some of the approaches micro-Coulter counters were used in combination with fluorescent detection.14,15 This miniaturized flow cytometer requires fluorescence labeling of the sample and thus additional preprocessing steps. With a classical flow cytometer, several semen parameters can be determined among which the spermatozoa concentration.17,18 By measuring the ratio of spermatozoa to added fluorospheres of a known concentration, the spermatozoa concentration can be calculated. In this paper we use a comparable method to determine the concentration of spermatozoa by using electrical impedance measurements. For a reliable result a significant difference in electrical impedance signal for the added beads and spermatozoa is required, but also for spermatozoa and the other cells, like leukocytes, present in semen. Without differentiation between leukocytes and spermatozoa, it gives rise to an overestimated concentration of spermatozoa, since it interferes with the count of spermatozoa. Furthermore, a high leukocyte concentration (>1 × 106 mL−1) is an indication of infection and poor sperm quality1 and it is useful to obtain this additional information as well.
In this paper a microfluidic chip is described that is able to calculate the concentration of spermatozoa using electrical impedance measurements without knowing the actual flow speed. The electrical impedance is measured between two planar electrodes at a single frequency, enabling differentiation between polystyrene beads, spermatozoa and leukemia white blood cells (HL-60). First a theoretical description of the measurement cell is given, followed by a description of the chip design, the measurement setup and the various samples that have been used. Next the measurement results are described and discussed into detail. Finally some conclusions are given.
Fig. 1 (a) The simplified equivalent circuit model of the microfluidic device without a particle or cell in the channel. The interface between the two planar electrodes and the electrolyte is represented by the double layer capacitance (Cdl). Rel is the electrolyte resistance, Rlead the lead resistance and Cpar is the parasitic capacitance. (b) Typical frequency response of the real electrical impedance of the equivalent circuit model. |
When a cell or particle enters the volume between the two electrodes, parts of the equivalent circuit model change. Such a particle or cell can also be represented with an equivalent circuit model consisting of linear elements, containing capacitances representing the cell membrane and a resistance corresponding to the cytoplasmatic conductivity.15,20 At frequencies below 1–3 MHz,9,12 cells and particles can be represented solely by the membrane capacitance, such that they behave like isolating spheres, resulting in a change in the effective electrolyte resistance as a particle or cell enters the measurement volume. This change is dependent on the cell size.12,21 Besides spermatozoa, semen also contains other cells, like leucocytes and macrophages.22 These cells are larger than spermatozoa; consequently a larger change in the electrical impedance may be measured at the resistive plateau making differentiation in cell size possible.
If the differentiation between beads and spermatozoa is possible, it can be used to calculate the concentration of spermatozoa (S) by adding a known concentration of beads (B) to the sample. Therefore the values of the measured electrical impedance changes need to be classified as ‘bead’ and ‘spermatozoon’. By counting the number of spermatozoa and beads in a sample, the concentration of spermatozoa can be calculated with the following expression:
(1) |
Fig. 2 A schematic picture of the measurement set-up. The microfluidic chip is connected to the home-made impedance analyzer, which is connected to a PC and an oscilloscope. Visual inspection of the set-up is possible using an inverted microscope. Different samples are used for the two studies. |
Fig. 3 Schematic diagram of the fabrication process. Glass layer 1 is firstly sputtered with Cr and Au, which is subsequently coated with a resist. After several lithography steps (A1), the microchannel is made by isotropically etching (A2). Access holes were powder blasted (A3). On glass layer 2 first a lithography step is done (B1). Subsequently platinum is sputtered (B2) and the electrodes are created by lift-off (B3). Bonding of the two glass wafers (C) creates the chip. |
To determine the frequency behavior of the microfluidic chip filled with background electrolyte, a bode plot from 100 Hz to 40 MHz was made using a HP impedance/gainphase analyzer type HP4194A, controlled by LabVIEW (7 Express, version 7.0, 2003, National Instruments). With this result, the optimal measurement frequency within the resistive plateau for the successive experiments was determined.
The electrical impedance signal was measured at 96 kHz with a home-made measurement system, with a sampling rate of 400 Hz and a detection limit ((ΔR/R) below 0.005%. A simplified block diagram is given in Fig. 4. A sine wave signal of 96 kHz was created for the excitation of the sensor. A pick-up amplifier in the transimpedance mode converted the sensor current to a voltage, which was successively fed to a synchronous detector, a low-pass filter and an amplifier with an offset facility to suppress a possible DC bias and amplify the signal to increase the overall sensitivity. The final signal was fed to a PC for data capture and analysis using Matlab (R2007B, version 7.5.0.342, 2007, the Mathworks Inc). All detector electronics were contained in a small metal box in order to suppress noise. In the Matlab program all signals were converted into electrical impedance values, next the peaks in the signal were detected and their heights were calculated. The peak height is calculated as the maximum value minus the mean of the start and end point values of the peak (see Fig. 5(b)), such that the drift of the signal does not influence the analysis.
Fig. 4 A simplified electric block diagram of the home-made impedance measurement system. |
Fig. 5 (a) A microscopic image of a spermatozoon passing the electrode pair (white horizontal stripes) (b) The above image shows an example of a raw impedance signal of the measurement with a spermatozoa concentration of 3.8 × 106 mL−1. The squares indicate the start and end of the peaks and are used to calculate the peak heights. The image below shows the processed signal with the peak heights. For this measurement, the threshold was 100 Ω such that two peaks are classified as ‘beads’ (rhombus) and ten as ‘spermatozoon’ (circle). |
Fig. 6 The measured frequency behaviour of the microfluidic chip. The black line in the graph is the average of 50 measurements obtained with the impedance/gainphase analyzer. The dashed line indicates the measurement frequency used during all subsequent experiments. |
Fig. 7 Measured examples of the processed impedance signal |Z| showing the peak heights, when a HL-60 cell (left), a spermatozoon (middle) and a 6 μm polystyrene bead (right) passed the electrode pair. |
Fig. 8 The averaged peak heights when HL-60 cells, spermatozoa and 6 μm polystyrene beads passed the electrode pair. The dashed lines show the higher and lower point of the 95% confidence intervals of HL-60 and spermatozoa respectively. |
For every mixture, a threshold was chosen such that the sensitivity and specificity were the highest. Above the threshold, the peak is classified as bead and below as spermatozoon. The specificity and sensitivity for the seven mixtures was larger than 0.91 and 0.89 respectively. The flow rates during the measurements of the different mixtures ranges from 5–143 pL s−1. The thresholds were slightly different for the seven mixtures, caused by differences in flow velocity: at higher flow velocities, the threshold was lower. This can be explained by the low pass filter in the measurement system. At higher flow velocities the length of stay in the measurement volume is shorter, such that the peaks contain more high frequency components. With a low pass filter, high frequency components are suppressed, resulting in a lower measured peak value.
In Fig. 9 the results of the determination of the concentration of spermatozoa using the known concentration of polystyrene beads are given. Clearly the estimation of a spermatozoa concentration of 42 × 106 mL−1 is underestimated. During this measurement some clogging of spermatozoa was observed, leading to false classified peaks, since the peak heights of clogged spermatozoa were comparable with the peak heights of beads. Increasing the bead concentration decreases the influence of false detected beads. Another possible solution is to dilute the semen sample before the measurement. Since beads need to be added anyhow, this is easy and will decrease the clogging.
Fig. 9 The determination of the concentration using the microfluidic chip. The circles and squares are the seven mixtures analyzed and the horizontal black lines are the 95% confidence intervals of the actual spermatozoa concentration. The expression of the dashed line is y = 0.84x + 3.70 × 106 (R2 = 0.97). The grey area is the subfertile region, containing three mixtures (circles). The fertile area is above 20 × 106 mL−1, containing the other four mixtures (squares). |
In the seven experiments an average of 686 events in each experiment (spermatozoa + beads) were counted and classified for the calculation. There is a tendency in the amount of counted spermatozoa and counted events to the relative difference between both spermatozoa concentrations. The more counted events and spermatozoa, the better the estimation. The amount of counted beads does not show this relation, but a higher concentration of beads give better estimates of the concentration of spermatozoa (data not shown). Moreover, the determination of higher concentrations of spermatozoa with the microfluidic chip is better than for lower concentrations, in accordance with results obtained with the conventional flow cytometer.17
Currently, at least 200 spermatozoa are counted with the gold standard, leading to a percentage error of 7.7%,1 so for a concentration of 20 × 106 mL−1 the 95% confidence interval is 17 × 106 mL−1–23 × 106 mL−1. To achieve the same confidence level, the amount of beads that needs to be counted is calculated by taking the error propagation into account. For a spermatozoa and bead concentration of respectively 20 × 106 mL−1 and 2 × 106 mL−1, at least 210 beads need to be counted with the chip. At bead concentrations comparable to the spermatozoa concentration, a minimum amount of events needs to be counted to obtain the same error, resulting in the lowest measurement time. With the conventional flow cytometry superimposable results for normal sperm concentrations were obtained when at least 10000 spermatozoa or 2000 fluorospheres were counted.17 The number of events counted with the chip is lower, due to the recording of video images and visual inspection afterwards. However the determination of the concentration agrees with the concentration determined with the counting chamber, and increasing the counted events will improve it. During the experiments the throughput was relatively slow (∼1.0 s−1), due to visual inspection. Theoretically up to 200 particles per second can be measured with the system. In case of a spermatozoa concentration of 20 × 106 mL−1 and a bead concentration of 2 × 106 mL−1, the measurement takes minimally 12 s which is faster than the gold standard or computer assisted semen analysis systems that still require visual inspection by the lab technician.
The concentration determination is independent of the flow velocity. However, during the measurements at lower flow rates, it was observed that beads and spermatozoa tend to stick in the microchannel. This did not influence the calculation of the spermatozoa concentration in our case, but in future work it will be better to avoid this.
This journal is © The Royal Society of Chemistry 2010 |