Abstract
- Top of page
- Abstract
- In Vivo Blood Flow Measurements of SCD
- Optical Techniques for Imaging the Microcirculation
- Discussion
- Conclusions
- Acknowledgements
- Literature Cited
Intravital microscopy is a valuable tool for research into sickle cell disease with studies being carried out on transgenic mice and human volunteers. The method has helped to develop an explanation for sickle crises based on cell adhesion to the vascular endothelium followed by logjamming of rigid sickle cells and has stimulated much research into new treatments. In recent years there have been numerous new optical techniques developed for imaging the microcirculation and understanding the circulation of cells within the body, many of which have been further developed into in vivo flow cytometry techniques. This brief review highlights some of the progress made to date in the understanding of sickle cell disease using intravital microscopy. New techniques for imaging the microcirculation and their potential uses in understanding sickle cell disease are discussed. © 2011 International Society for Advancement of Cytometry
Sickle cell disease (SCD) is the most common genetic condition worldwide and it is estimated that 300,000 babies are born with the condition every year and that 5% of the global population (∼340 million) carry the genetic trait. Life expectancy is shortened, with studies reporting an average life expectancy of 42 and 48 years for males and females, respectively (1). SCD is caused by the inheritance of the sickle β globin gene (βS) and is the homozygous state (SS) when this gene is inherited from both parents. The condition is characterized by blockages of the microcirculation, which cause painful episodes (crises).
Early work focused on the gelation of sickled red blood cells in vitro and is summarized by Eaton and Hofrichter (2). This also guided research into new treatments and although gelation plays a significant role in SCD it is not the only factor. Cell adhesion, inflammation, change in vessel diameter, and coagulation all play roles and are better understood using in vivo models. Intravital microscopy (IVM) has helped to propose an explanation for sickle crises based on cell adhesion to the vascular endothelium followed by logjamming of rigid sickle cells (3) and has stimulated much research into new antiadhesion therapies (4).
IVM is a valuable tool for research into SCD with studies being carried out on transgenic mice and human volunteers. However, in recent years there have been numerous and significant advances in the development of techniques for imaging the microcirculation and understanding the circulation of cells within the body. Many of these have been further developed to provide the capability for in vivo flow cytometry. These have been widely applied in fields, such as cancer research where it is important to monitor circulating white blood cells but they have not yet been adopted by the SCD research community.
The main aim of this brief review article is to highlight some of the new techniques developed for in vivo imaging and cytometry of the microcirculation and suggest how they could benefit SCD research. Some of the progress made to date in the understanding of SCD using IVM in both transgenic mice and human volunteers are highlighted in the following section. New optical techniques for imaging the microcirculation are briefly reviewed in the optical techniques for imaging the microcirculation section. Finally, their potential uses in understanding SCD are discussed.
Optical Techniques for Imaging the Microcirculation
- Top of page
- Abstract
- In Vivo Blood Flow Measurements of SCD
- Optical Techniques for Imaging the Microcirculation
- Discussion
- Conclusions
- Acknowledgements
- Literature Cited
As demonstrated in the previous section, conventional IVM has been a valuable tool in SCD research. However, there are limitations with the approach such as being restricted to monitoring thin specimens in two dimensions. This section provides an overview (summarized in Table 1) of new techniques that could make a valuable contribution to SCD.
Table 1. Overview of optical techniques for imaging and in vivo flow cytometry of the microcirculation| Technique | Measurement | Capabilitya | Comments | References |
|---|
|
| MPM | Emission of a single photon due to N photon absorption | 3D imaging of endogenous fluorophores, e.g., NADH, tryptophanLateral resolution 0.5 μmAxial resolution 1 μmPenetration depth up to 1 mm | Low photobleaching and phototoxicityIn vivo flow cytometry possibleIn vivo tracking of leukocytesClinical systems available | 36–40 |
| SHG | Emission of a single photon due to N-photon anisotropic scattering | No exogenous fluorophoresLateral resolution 0.5 μmAxial resolution 1 μmPenetration depth up to 1 mm | Sensitivity to anisotropic tissue e.g. collagen | 36 |
| FLIM | Lifetime of fluorophore | Can separate multiple fluorophores within a sampleResolution dependent on imaging configuration, cellular level - 100s μm | Easily used in conjunction with other techniques, e.g., MPMSensitive to cellular environment e.g. viscosity, pH which play a role in sickling process | 41 |
| Raman | Inelastic scattering from molecular vibrations (molecule in ground state) | Can probe molecular structures Resolution, cellular level – 100 s μmLabel free | Sensitivity to in vivo cell hydration, gelation and capillary oxygen saturation should be useful in SCD Weak signals | 42–45 |
| CARS | Inelastic scattering from molecular vibrations (molecule in excited state) | Can probe molecular structures Resolution, cellular level Label freeLateral resolution 0.5 μmAxial resolution 1 μmPenetration depth 100μm | Much stronger signals than RamanLow photobleaching and phototoxicitySensitivity to lipid structures e.g., lipid bilayer around cellsProbe water within cells | 46–48 |
| OCT, DOCT, OMAG | Backscattered light that maintains coherence | Sensitive to scattering of light within coherence gate 3D imagingLateral resolution 10 μmAxial resolution 3-10 μm | 3D imaging of vascular network3D flow imaging in microvessels | 49–51 |
| PAM | Acoustic emission after absorption of pulsed light | Contrast due to absorption by haemoglobinLateral resolution 1 μmAxial resolution depends on ultrasound pulse timing | In vivo flow cytometryImaging of single RBCsOxygen saturation of microvessels | 52–58 |
| PT | Infrared emission after absorption of pulsed light | Contrast due to absorption by haemoglobinResolution poorer than PAM lateral resolution approximately scales with depth, i.e., ∼100 μm at depth 100 μm | In vivo flow cytometryContrast enhanced by gold nanoparticlesPoorer resolution for blood vessel imaging than PAM | 59–61, 57 |
| Full field flow imaging (LASCA, Doppler) | Fluctuations in speckle pattern at detector due to motion | Contrast due to scattering of light by moving RBCsLateral resolution ∼10 s μm for superficial tissue | Limited to 2D imagingCan image flow in microcirculation in real timeSimple instrumentationImage interaction of interconnected flows in different microvessels | 62–64 |
| HSI | Absorption spectra of chromophores | Contrast due to oxy- and deoxyhaemoglobin absorption Lateral resolution ∼10 s μm for superficial tissue | Limited to 2D imagingSimple instrumentationOxygen saturation imaging | 65, 66 |
IVM has benefited from the rapid development of nonlinear microscopy techniques. Useful reviews (36, 67) of IVM have highlighted many relevant papers in this area. Multiphoton microscopy involves the absorption of two (or more) photons by the specimen and subsequent emission of a single photon at a shorter wavelength. The process occurs in a small volume that affords high resolution imaging, reduced photo-toxicity, and photo-bleaching. Excitation at longer (usually near-infrared) wavelengths allows a higher penetration depth than conventional IVM. Second and third harmonic generation (SHG, THG) involves scattering of two or more incident photons and recombination into single photon without energy loss. The signals are produced predominantly in the forward scattering direction, however, there is usually sufficient detection because of backscattering of the light by tissue.
Multiphoton IVM has been used to track fluorescently labelled white blood cells in vivo (68). There have been several multiphoton studies using endogenous fluorophores, particularly NADH, NAD(P)H, riboflavins, and tryptophan (37). Li et al (40) have demonstrated imaging of leukocytes through the epidermis and dermis of mouse skin and have investigated the interaction of the leukocytes with the dermal vascular endothelium. This was achieved by exciting endogenous tryptophan using two-photon excitation at 590 nm. Two single frame excerpts from movies obtained from (38) are shown in Figure 1. It was shown that inflammation enhances leukocyte rolling, adhesion and tissue infiltration, properties which are significant in SCD (13, 14, 15). This could be achieved for shallower penetration depths using confocal microscopy (69). The penetration depth and use of endogenous fluorophores may eventually lead to monitoring leukocyte traffic in humans (38). Although nonlinear microscopy is often considered to be a complex tool for the research laboratory, portable commercial systems for clinical use are now available (39).
Fluorescence lifetime imaging microscopy (FLIM) measures the time a molecule spends in an excited state and can be used to discriminate between multiple fluorophores. Measurement of the lifetime of exogenous and endogenous fluorophores within a cell strongly depends on the cellular environment, e.g., pH, viscosity, ion concentration (41). It can be used as a stand-alone technique or in combination with others, such as multiphoton microscopy.
Coherent anti-Stokes Raman scattering (CARS) (46–48) is a label free technique that utilizes two laser pulses (pump and Stokes) whose wavelengths are tuned to match the energy gap between two vibrational states of a molecule of interest. When this condition occurs, a strong anti-Stokes signal is generated, providing contrast to usually CH2 bands and sensitivity to lipid rich structures, such as myelin and adipocytes. In SCD it may be useful as it can be used to image cell membrane and also water within cells (48). An IVM based on a fast scanning system combining CARS, fluorescence imaging, SHG, and backscattering provides multiple contrast mechanisms and has been used to monitor cell trafficking (70). Different fluorescent labels and one- and two-photon fluorescence were used to separate cancer cells, leukocytes, dermal lymphatic vessels, and blood vessels. Collagen was visualized using SHG. Myelin and a lipid rich serbaceous gland were imaged with CARS.
Although the signal yield is lower than CARS, in vivo Raman spectroscopy (i.e., inelastic scattering due to vibrations of a molecule in its ground state) can be used to uniquely identify molecules. It has been applied in IVM and has been used to monitor the oxygen saturation of microvessels (42, 43). Although conventional transillumination can usually only be applied to larger vessels or organs, it is demonstrated that this approach can be applied to thin tissues as well. Raman microspectroscopy has been applied to monitoring the hydration of cells (44). The application in this case was the monitoring of the abnormally high water content of cancer cells but such an approach could be applied to monitoring the hydration of sickle red blood cells as it is known that cell hydration plays a role in sickle crises (4).
For larger microvessels absorption spectroscopy approaches can be more conveniently applied. For example, hyperspectral imaging can be used to measure vascular oxygen saturation in two dimensions. Oxy- and deoxy-haemoglobin have different absorption spectra and so absorption of light is proportional to the level of oxygen saturation. Hyperspectral imaging involves taking multiple images across a wavelength range to obtain a data cube (65). The data is usually processed using an algorithm that takes into account the effect of light scattering, e.g., the modified Lambert-Beer law (66). The approach is popular in retinal imaging for monitoring the health of the eye for conditions, such as diabetic retinopathy and glaucoma. A typical blood oxygen saturation map obtained from the retina of a diabetic is shown in Figure 2.
Blood flow is often measured by projecting a line of light across a vessel and measuring fluctuations as the blood cells scatter the light (71). Blood flows can also be measured in real time using full field using laser speckle (62) or full field laser Doppler imaging based on high frame rate CMOS sensors (63, 64). These full field techniques have previously been applied to larger microvessels containing multiple cells rather than single capillaries.
Photoacoustic tomography uses pulsed laser light to illuminate tissue. Absorption by haemoglobin or other contrast agents caused absorption and subsequent reradiation of the light as ultrasound because of thermoelastic expansion. The approach has been widely used to image blood vessels in three dimensions in relatively thick tissue (∼3 mm for photoacoustic microscopy) (52). Recent research has involved higher spatial resolution in weakly scattering samples, such as the exposed cortex of the mouse (53). Systems incorporating two or more wavelengths have been used to image the oxygenation of blood vessels (54) and single red blood cells (55). A typical blood oxygenation map obtained using photoacoustic microscopy is shown in Figure 3. Flow can also be obtained using photoacoustic Doppler broadening (56).
Other methods can be used to image blood vessels in three dimensions. Photothermal imaging (59, 60) involves illumination with pulsed light and detection of infrared emission due to localized heating. Photothermal imaging can image blood vessels but may be better applied in SCD for discriminating between cells for in vivo flow cytometry, possibly in conjunction with nanoparticles (61). Optical coherence tomography (OCT) involves interfering scattered light from the sample with a reference beam. Only when the pathlengths travelled by the light in the sample and along the reference paths are matched within the coherence length of the light source will a signal be detected. Light scattered over longer pathlengths will be rejected allowing the effects of light scattering to be reduced. Variations of OCT developed to analyze flows include Doppler OCT (72), Doppler amplitude OCT (49), and optical microangiography (OMAG) (50). A typical OMAG image of the 3D microstructure of the brain cortex of a live mouse is shown in Figure 4 (51). OMAG provides (50) high spatial resolution imaging (9 μm lateral, 9.6 μm axial) of microcirculatory flows over a range of velocities from 4 μm/s to 23 mm/s. It should be noted that the 4 μm/s lower limit represents the best case as it is dependent on the depth and orientation of the vessel. OMAG has previously been applied to imaging the vascular networks of a mouse brain in 3D with the skull intact. Doppler OCT (providing flow velocity) and Doppler amplitude OCT (providing concentration of red blood cells) have been demonstrated to be capable of discriminating between red blood cells with different rigidity, an important characteristic in SCD (49).
Several of the techniques described here have been adapted to perform in vivo flow cytometry. For example in vivo flow cytometry (73, 74) has been developed based on similar instrumentation to that applied in conventional flow cytometry. A focused line of excitation light is projected across a blood vessel and fluorescently labelled cells that cross the line can be detected in different wavelength channels. The method has been used to characterize the kinetics of red and white blood cells circulating in the vasculature of the mouse ear and also used to monitor circulating prostate cancer cells. Figure 5 shows an example of cell counting with this technique. Figure 5a shows a combined still image of three frames from a movie. The blue, green, and red highlights show DiD-labelled rat prostate MLL cells in each of three consecutive frames as they traverse the vessel. Figure 5b shows typical bursts of fluorescent light received at the detector as labelled cells pass across the illumination line. Figure 5c shows a scatter plot showing the distribution in height and width of the detected fluorescence from a control (red, bottom left) and data acquired after injection of labelled cells (blue, top right). Figure 5d shows that the number of detected cell counts/min correlates well with the number of injected cells.
Multiphoton intravital flow cytometry has been used to quantify circulating tumor cells (40). It was noted that the multiphoton flow cytometer was moderately more sensitive in terms of cell detection than a confocal flow cytometer but significantly more sensitive than a conventional in vivo flow cytometer. A two channel multiphoton flow cytometer has been used to monitor two different populations of circulating cells (75). Fluorescently labelled, circulating red blood cells were also monitored for more than 2 weeks.
Both photoacoustic and photothermal techniques have also been applied to in vivo flow cytometry (57, 76, 77). A system that integrates photothermal, laser speckle, fluorescence, and high speed imaging for label-free transmission cytometry of circulating cells in the rat mesentery has been developed. It was shown that photothermal imaging was particularly sensitive to the absorption properties of red blood cells (76). An in vivo photoacoustic flow cytometer developed provided a sensitivity of 1 cancer cell in a background of 107 normal cells (58).