|
Hemoglobin is the primary constituent of erythrocytes and its change in concentration is linked to various kinds of diseases from anemia to polycythemia. Previous reports have studied the distribution of hemoglobin, both in the nucleus and cytoplasm of chicken erythrocytes,1 and suggested its roles in various stages of erythrocyte development.2, 3 However, fluorescence microscopy used in these studies are usually compromised by fixation artifacts that can be observed as intense perinuclear and marginal concentrations of hemoglobin in chicken erythrocytes.4, 5 A live-cell imaging technique that provides intrinsic/label-free detection of hemoglobin is thus demanded. Currently, great attention is being focused on nonlinear optical processes that provide endogenous signatures of not just hemoglobin, but biological materials generally. Previous reports have demonstrated that hemoglobin possesses large two-photon absorptivities and nonlinear resonances in the infrared region.6, 7 A recent label-free technique called two-photon absorption (TPA) microscopy can image and differentiate between oxyhemoglobin and deoxyhemoglobin in tissue by direct detection of their two-photon absorption.8, 9 Earlier, third-harmonic generation (THG) was also found to be effective for visualizing flowing erythrocytes, and was assumed to correlate with hemoglobin concentration.10 Recently, hemoglobin was found to provide a resonantly enhanced THG signal around .11 However, high-sensitivity THG imaging of hemoglobin seems difficult, since the generation of THG is usually allowed only at interfaces of different media. We recently proposed stimulated parametric emission (SPE) microscopy for label-free visualization of biological samples based on electronics resonance of sample molecules.12, 13 SPE is a nonlinear-optical four-wave mixing (FWM) process that involves the mixing of a pump beam at an angular frequency of and a dump beam at to produce a signal at frequency . SPE has been described as a source of noise in coherent anti-Stoke Raman scattering (CARS) microscopy.14 However, with the use of a Ti:sapphire laser with a pulse-width shorter than in a tightly focused condition, we suggested that SPE is dominant among the FWM processes, and the CARS signal is relegated to a source of noise in SPE.12 Considering the relaxed phase matching condition in SPE as well as the large nonlinear absorptivities of hemoglobin, the SPE visualization of hemoglobin seems attractive and possible for high sensitivity. Here, using a system modified from that previously proposed,12 we report high-resolution imaging of unstained hemoglobin in live erythrocytes. The technique uses a mode-locked Ti:sapphire laser (Venteon | Pulse:One , , Nanolayers, Rheinbreitbach, Germany) pumped by a continuous-wave laser ( , Verdi-V10, Coherent, Palestine, Texas) [Fig. 1a ]. One set of filters (F1) (SCF-50S-66R long-pass filter, Sigma-Koki, and Tokyo, Japan, SI0870 short-pass filter, Asahi Spectra, Torrance, California) placed in front of the objective lens (OB) ( , 1.4 NA, oil immersion, Olympus) and one set of filters (F2) (SV0780; SV0750 and SV0650 short-pass filters, Asahi Spectra) placed to the rear of the collector lens (CL) ( , 0.8 NA, Olympus) not only provide an excitation beam with wavelengths ranging from , but also restrict the SPE signal to the region from and eliminate the remnants of the excitation beam from the signal. Due to the strong requirement for phase matching, two separate portions of the irradiation beam play pump and dump roles to produce SPE signals. Figure 1b shows energy and phase matching diagrams of SPE. The detector is a photomultiplier tube (PMT) (H7732, Hamamatsu Photonics). The modifications, as mentioned, are mainly on the use of a single broadband laser and a spatial light modulation (SLM) embedded compensation system composed of two parts: a chirped mirror system precompensates for second-order dispersion and a group velocity delay (GVD) compensator compensates for higher order dispersion, indicated in Fig. 1a as yellow and aqua boxes, respectively. The GVD compensator consists of an optical grating (G) and the SLM, and its working has been described in detail previously.15 With the use of the embedded SLM in this modified system, the SPE signal intensity has effectively increased about 1000 times [Fig. 1c]. As the SPE signal is proportional to the cubed laser power, the power can be reduced to about a tenth, or the sensitivity can be improved about ten-fold. In this demonstration, we visualized hemoglobin in mouse and chicken erythrocytes. We confirmed that the SPE signal intensity of hemoglobin is dependent on its concentration [Fig. 1d]. Since the SPE process could be resonantly enhanced by the presence of a quantum level near , the strong SPE signal of hemoglobin, presumably, originates from the two-photon resonance of hemoglobin. Proof of the existence of two-photon resonance is given in Fig. 1d, although it is not sufficient enough. Further elucidation requires sophisticated nonlinear spectroscopic experiments in the future. As hemoglobin is a nonfluorescent protein, it is not necessary to care about signal contamination by hemoglobin fluorescence. In addition, we have measured the intracellular autofluorescences by inserting a polarizer to eliminate only the SPE signal. The experiment suggested that the contribution of fluorescence is as small as that from the culture medium (data not shown). 3-D imaging of a mouse erythrocyte [Fig. 2a ] clearly illustrates the 3-D doughnut-shape distribution of hemoglobin inside the cells. Figure 2b shows an even distribution of hemoglobin in a mouse spherocyte, an erythrocyte with spherical cell morphology. Figures 2c, 2d, 2e show different sectional images of the mouse erythrocyte at different positions. The position [Fig. 2e] shows an increase in nonresonant background noise or a decrease in the signal-to-noise ratio as the focal plane moves out of the cell area. Further observations with chicken erythrocytes revealed a difference in hemoglobin distribution between fresh and ethanol-fixed cells. Hemoglobin in a fresh chicken erythrocyte is distributed evenly over the cytoplasm and nucleus [Fig. 2f], while in an ethanol-fixed cell, it is aggregated in the cytoplasm and close to the perinuclear region [Fig. 2g and Videos 1 ]. Representative sectional images of the fixed cell are displayed in Figs. 2h, 2i, 2j. Figure 2j shows the intensity profile along the diagonal indicated by the yellow line of Fig. 2h. It indicates that the enhancement factor between resonantly enhanced and nonresonant signals can be as high as 1.8. This factor is much higher than the general SPE contrast of maximum 1.35 in other cases, in which we observed various kinds of biological materials in plant BY-2 and HeLa cells (data not shown). 10.1117/1.3207151.1The intense perinuclear hemoglobin concentration has been reported previously.4, 5 It is shown that fixation methods such as paraformaldehyde could lead to obvious morphological changes, while cell morphology showed no significant changes by methanol fixations. 16 Our observations of paraformaldehyde and ethanol-fixed chicken erythrocytes agree with this finding. Therefore, in the scope of this work, we placed our focus only on the exploitation of differences between live and ethanol-fixed chicken erythrocytes. This is the first time SPE has been introduced as a label-free technique for visualization of hemoglobin with a high sensitivity, and also the first illustration of hemoglobin distribution differences by means of using a label-free method. The average laser power used in all observations is quite low in comparison with reported hemoglobin visualizations by THG and TPA.8, 9, 10, 11 Therefore, SPE could potentially be an alternative, effective, and direct way not only for studying clinical aspects of hemoglobin in erythrocytes, but also for biological and medical studies. In conclusion, we have demonstrated that SPE can effectively visualize hemoglobin with high sensitivity and reveal its 3-D distribution in erythrocytes. Due to its ability to produce an enhanced intrinsic signal from hemoglobin, SPE demonstrates the difference in hemoglobin distribution between fresh and fixed chicken erythrocytes. Because SPE uses a single laser, it could readily be coupled with other multiphoton techniques, e.g., two-photon fluorescence, second-harmonic generation, or THG. We believe that SPE will soon find an important place in the field of biological and medical imaging. Future works could focus on improving the sensitivity and selectivity by using different sets of pump and probe pulses, or building a fast SPE system for monitoring rapid intracellular processes. AcknowledgmentsDang thanks the Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) and the International Graduate Program for Frontier Biotechnology, Graduate School of Engineering, Osaka University, for fellowship support. This work was supported in part by a grant from the Cooperative Link of Unique Science and Technology for Economy Revitalization promoted by MEXT to Fukui and Itoh. This work was also supported in part by a grant from the SENTAN, Japan Science and Technology Agency to Itoh and Fukui. Finally, Dang thanks Lim Xue Min for providing fresh mouse erythrocytes, Joyce Cartagena for providing fixed chicken erythrocytes, and the Kyowa Foods Company for providing live chickens for bleeding. ReferencesD. Kabat,
“Organization of hemoglobin synthesis in chicken erythrocytes,”
J. Biol. Chem., 243
(10), 2597
–2606
(1968). 0021-9258 Google Scholar
J. Tooze and H. G. Davies,
“The occurrence and possible significance of hemoglobin in the chromosomal regions of mature erythrocyte nuclei of the newt Triturus cristatus cristatus,”
J. Cell Biol., 16 501
–511
(1963). https://doi.org/10.1083/jcb.16.3.501 0021-9525 Google Scholar
C. Baglioni,
“Ontogenesis of erythrocytes and hemoglobin formation,”
J. Cell Physiol., 67 169
–184
(1966). https://doi.org/10.1002/jcp.1040670414 0021-9541 Google Scholar
S. Granick and R. D. Levere,
“The intracellular localization of heme by a fluorescence technique,”
J. Cell Biol., 26 167
–176
(1965). https://doi.org/10.1083/jcb.26.1.167 0021-9525 Google Scholar
B. R. A. O’Brien,
“The present of hemoglobin within the nucleus of the embryonic chick erythroblast,”
Exp. Cell Res., 21 226
–228
(1960). https://doi.org/10.1016/0014-4827(60)90369-4 0014-4827 Google Scholar
G. O. Clay, A. C. Millard, C. B. Schaffer, J. Aus-der-Au, P. S. Tsai, J. A. Squier, and D. Kleinfeld,
“Spectroscopy of third-harmonic generation: evidence for resonances in model compounds and ligated hemoglobin,”
J. Biomed. Opt., 23
(5), 932
–950
(2006). 1083-3668 Google Scholar
G. O. Clay, C. B. Shaffer, and D. Kleinfeld,
“Large two-photon absorptivity of hemoglobin in the infrared range of ,”
J. Chem. Phys., 126 025102
(2007). https://doi.org/10.1063/1.2404678 0021-9606 Google Scholar
D. Fu, T. Ye, T. E. Matthews, B. J. Chen, G. Yurtserver, and W. S. Warren,
“High-resolution in vivo imaging of blood vessels without labeling,”
Opt. Lett., 32
(18), 2641
–2643
(2007). https://doi.org/10.1364/OL.32.002641 0146-9592 Google Scholar
D. Fu, T. E. Matthews, T. Ye, I. R. Piletic, and W. S. Warren,
“Label-free in vivo optical imaging of microvasculature and oxygenation level,”
J. Biomed. Opt., 13
(4), 045031
–045033
(2008). 1083-3668 Google Scholar
A. C. Millard, P. W. Wiseman, D. N. Fittinghoff, K. R. Wilson, J. A. Squier, and M. Müller,
“Third-harmonic generation microscopy by use of a compact, femtosecond fiber laser source,”
Appl. Opt., 38
(36), 7393
–7397
(1999). https://doi.org/10.1364/AO.38.007393 0003-6935 Google Scholar
R. D. Schaller, J. C. Johnson, and R. J. Saykally,
“Nonlinear chemical imaging microscopy: near-field third harmonic generation imaging of human red blood cells,”
Anal. Chem., 72
(21), 5361
–5364
(2000). https://doi.org/10.1021/ac000699r 0003-2700 Google Scholar
K. Isobe, S. Kataoka, R. Murase, W. Watanabe, T. Higashi, S. Kawakami, S. Matsunaga, K. Fukui, and K. Itoh,
“Stimulated parametric emission microscopy,”
Opt. Express, 14
(2), 786
–793
(2006). https://doi.org/10.1364/OPEX.14.000786 1094-4087 Google Scholar
K. Isobe, Y. Ozeki, T. Kawasumi, S. Kataoka, S. Kajiyama, K. Fukui, and K. Itoh,
“Highly sensitive spectral interferometric four-wave mixing microscopy near the shot noise limit and its combination with two-photon excited fluorescence microscopy,”
Opt. Express, 14
(23), 11204
–11214
(2006). https://doi.org/10.1364/OE.14.011204 1094-4087 Google Scholar
J.-X. Cheng, Y. K. Jia, G. Zheng, and X. S. Xie,
“Laser-scanning coherent anti-Stoke Raman scattering microscopy and applications to cell biology,”
Biophys. J., 83 502
–509
(2002). https://doi.org/10.1016/S0006-3495(02)75186-2 0006-3495 Google Scholar
A. M. Weiner,
“Femtosecond pulse shaping using spatial light modulators,”
Rev. Sci. Instrum., 71
(5), 1929
(2000). https://doi.org/10.1063/1.1150614 0034-6748 Google Scholar
J. W. Chan, D. S. Taylor, and D. L. Thompson,
“The effect of cell fixation on the discrimination of normal and leukemia cells with laser tweezers Raman spectroscopy,”
Biopolymers, 91
(2), 132
–139
(2008). https://doi.org/10.1002/bip.21094 0006-3525 Google Scholar
|