Abstract
Barrett’s esophagus (BE) is a metaplastic disorder where dysplastic and early cancerous changes are invisible to the naked eye and where the practice of blind biopsy is hampered by large sampling errors. Multi-photon microscopy (MPM) has emerged as an alternative solution for fast and label-free diagnostic capability for identifying the histological features with sub-micron accuracy. We developed a compact, inexpensive MPM system by using a handheld mode-locked fiber laser operating at 1560nm to study mucosal biopsies of BE. The combination of back-scattered THG, back-reflected forward THG and SHG signals generate images of cell nuclei and collagen, leading to label-free diagnosis in Barrett’s.
© 2015 Optical Society of America
1. Introduction
The incidence of adenocarcinoma of the esophagus is rising faster than that of any other cancer in the U.S [1]. An estimated 16,980 new cases and 15,590 deaths are predicted in 2015 [2]. More than eighty percent of patients with invasive esophageal adenocarcinoma die within five years of diagnosis [3]. Barrett's esophagus is a complication of gastro-esophageal reflux disease (GERD) where the normal squamous epithelium of the esophagus is replaced by columnar epithelium with goblet cells (intestinal metaplasia); it is the major risk factor for esophageal adenocarcinoma [4]. Barrett’s is a common disorder, affecting an estimated 5.6% of adults in the United States [5]. Regular endoscopic surveillance for dysplasia in Barrett's esophagus (BE) is recommended as early identification and therapy of dysplasia and adenocarcinoma has been associated with improved survival [6, 7]. If small foci of intra-mucosal adenocarcinoma can be accurately located, current endoscopic resection techniques can lead to an excellent long-term prognosis, evidenced by the remission rate of 93.8% after a mean follow-up of 57 months [8].
Detection of dysplasia within Barrett’s esophagus is difficult, as dysplasia is not visible to the naked eye and is randomly distributed throughout the Barrett's epithelium. High-grade dysplasia and superficial adenocarcinoma can be multifocal, tiny and easily missed [9]. To further complicate matters, there is lack of intra- and inter-observer agreement among pathologists in distinguishing dysplasia from reactive epithelial changes to reflux esophagitis, and in grading the severity of dysplastic change [10–12]. Furthermore, islands of Barrett’s buried under the normal squamous epithelium have been reported, which can contain or progress to dysplasia or adenocarcinoma [13–15]. Buried BE glands are also found to a varying degree under the regenerative neo-squamous epithelium after treatment of Barrett’s tissue with radiofrequency ablation and argon plasma coagulation [15, 16]. Thus, imaging below the epithelium would be valuable for the identification of buried glands and for their management.
Although new techniques are being developed to facilitate image directed biopsies, the current reliance on routine histology delays treatment [17–19]. Confocal microscopy can provide microscopic images at endoscopy; however, this requires a contrast agent and current clinical devices do not image tissue well below the surface and are unable to identify buried glands [20]. Optical coherence tomography (OCT) can identify buried glands, but does not have the resolution to facilitate an accurate histologic diagnosis [21]. Auto-fluorescence microscopy under UV excitation can present high-resolution images in order to establish optical patterns for diagnosing dysplasia in BE [22]. Although AF microscopy is a label-free and high-resolution technique for visualization of cellular structures with no need of sample preparation, due to the short excitation the penetration depth is limited to the epithelium preventing to detect buried glands.
Multi-photon microscopy (MPM) has emerged as an alternative solution that combines high resolution with the capability of increased imaging depth and short acquisition time [23, 24]. Various multi-photon imaging (MPI) modalities such as second harmonic generation (SHG), two- and three-photon excitation fluorescence (2PEF and 3PEF), and third harmonic generation (THG) have been utilized. For instance, the 2PEF signal has been used to study the endogenous fluorescence of normal, pre-cancerous, and cancerous squamous epithelial tissues as well as the associated morphological features [25]. Recently, 2PEF was applied as a probe to characterize the normal esophageal squamous and gastric columnar mucosa biopsy to assess MPM [26]. Moreover, a miniaturized multiphoton probe was developed to examine fresh, unfixed and unstained gastrointestinal mucosa biopsies by using the 2PEF signal [27]. Further, it has been suggested that quantification of the SHG signal from fibrosis can be used as an indicator of epithelial tumor progression [28, 29]. Additionally, THG microscopy is an important label-free technique that can be applied to study a broad range of biological specimens [30–43], as the signal is sensitive to interfaces and is able to image inhomogeneous structures where the refractive index changes. By using excitation wavelengths in the 1300-1700 nm range, image depth can be increased due to reduced scattering. It also facilitates the collection and detection of the THG signal.
In this report, we assess the feasibility of label-free MPM (at 1560nm) in endoscopically obtained Barrett’s tissue and provide herein what we believe to be the first THG images of Barrett’s mucosa as well as the first description of thickened basement membrane collagen with neoplastic progression in BE at telecommunication wavelength excitation. The aim of our study is to determine if SHG and THG signals can be used to identify histologic features that can identify Barrett’s metaplasia and differentiate between different grades of dysplasia.
2. Experimental setup
2.1. Multi-photon microscopy system
Figure 1 depicts the schematic diagram of the in-house designed and assembled MPM system [43]. The excitation source is a compact femtosecond fiber laser mode-locked by a carbon nanotube saturable absorber operating at 1560 nm with an 8MHz pulse repetition rate and 150fs pulse duration. The design of the excitation source is similar to that reported in [44]; the difference here is that the laser output is linearly polarized. The laser output is delivered to the microscope via a PM fiber patch cord and is collimated by using a fiber collimator (Thorlabs, F240APC-1550); the collimated beam is then raster scanned on the sample attached to an xyz stage by employing a 2D galvo-scanner system. A telescope consisting of scan and tube lenses expands the beam to approximately illuminate the entire back aperture of objective lens (New Focus, 5724-H-C) so that the smallest possible laser spot size is achieved (THG resolution = 1.3µm, see [43] for resolution measurement). The back-scattered signal from the sample is separated from the excitation source by a long-pass dichroic mirror with 870nm cut-off wavelength. We use a non-descanned detection scheme enabled by a dichroic mirror (λcut-off = 552nm, Semrock) and two similar high gain and sensitive PMTs (Hamamatsu H10720-21) for simultaneously recording in two channels. The longer wavelength channel collects the 2PEF, 3PEF or SHG signal by using appropriate filters before the PMT. On the other hand, the shorter wavelength channel collects the THG signal, where a narrow band pass filter centered at 525/30nm (Semrock) was embedded in front of the PMT. Two low-noise current amplifiers(Stanford Research Systems, SR570) amplify the signal generated by the PMTs before digitization by a data acquisition card (NI PCI-6110). In-house laser scanning software based on LabVIEW was developed to acquire images, control the image acquisition process and adjust the xyz translation stage.
Each image frame was acquired and saved with 512 × 512 pixels and a 250 × 250µm2 field of view (FOV). The frame acquisition time was 8s (pixel dwell time of ~30µs) with 15mW average power on the sample. Since the FOV was small in comparison to the region of interest, several frames were acquired and corrected for non-uniform illumination. The correction was performed by normalizing each frame by a reference frame outside the region where the sample resides. Finally, the sequentially ordered frames were stitched by using the Stitching [45] plugin in Fiji [46].
2.2. Methods and sample preparation
Cross-sectional imaging was performed on fixed tissue samples obtained by endoscopy from patients with Barrett’s esophagus. Tissue samples were sectioned at 8µm, stained with hematoxylin and eosin (H&E) and evaluated independently by two gastrointestinal pathologists. Unstained samples were obtained from a section residing 8µm below the section used for histology, placed on a glass slide with a mounting medium, and covered with a glass cover slip for MP imaging. Representative samples were classified as Barrett’s esophagus (BE) with no dysplasia (51 year old Caucasian male), BE with low-grade dysplasia (75 year old Caucasian man) and BE with high-grade dysplasia (72 year old Caucasian male). The institutional review board of the University of Arizona approved the study.
3. Results
The THG images presented herein (Figs. 2–4) demonstrate that these label-free images are of sufficient resolution and contrast to depict the histologic features of BE with and without dysplasia that are seen with standard H&E stains. Of interest, the SHG images displayed increasing thickness of the basement membrane collagen with progression of the dysplasia, which is normally not seen in H&E stains, but generally requires specific stains for displaying fibrous tissue [47–49]. It should be noted that although obtained from the same biopsy specimen and from the same patient, the multi-photon images are not as an exact a match as the H&E images. Due to the 3-dimensional nature of the tissue fragments suspended in paraffin, sequential 8µm sectioning of the tissue results in non-identical tissue shapes and sizes, and thus a variation of appearances seen from the same biopsy on separate slides. However, the H&E and multi-photon images depict the same histological features from the same tissue biopsy.
3.1. Negative for dysplasia
The THG images (Figs. 2(e)-4(e)) show tissue structure with cell nuclei displayed with high contrast and resolution that is comparable to standard, H&E stained microscopic images. Figures 2(a)-2(d) and Figs. 2(e)-2(h) show the H&E light-microscopic images and multi-photon THG images from a sample of Barrett’s without dysplasia. The generation of TH signal from the surface of a microscope slide creates a bright background in THG images. Since the THG signal is phase-matched in the forward direction, the generated forward TH signal is larger than the backward THG signal. To detect this signal, we used a mirror underneath the thin section of the tissue to redirect the forward THG signal to the PMT.
As is typical for non-dysplastic Barrett’s, the cells are positioned uniformly in a single row along the basement membrane (Figs. 2(f)-2(h)). The nuclei are of normal size with a normal nucleus to cytoplasm ratio. The cells with no evidence of dysplasia are shown with yellow arrows in Fig. 2. The SHG images (Figs. 2(i)-2(l)) show very fine strands of sub-epithelial collagen, which cannot be discerned in H&E images.
3.2. Low-grade dysplasia
Figure 3 shows Barrett’s with low-grade dysplasia; the cells are not all positioned in a single uniform line and the pattern of the glands remains normal. Nuclei are stratified and mildly hyperchromatic with an increased nucleus to cytoplasm ratio (Figs. 3(f)-3(h)). These changes are shown with high contrast and clarity in the THG images that depict all the features of the H&E findings. The yellow arrows in Fig. 3 represent the cells with low-grade dysplasia. The SHG images shows thicker strands of sub-epithelial (basement-membrane) collagen than in Barrett’s without dysplasia (Figs. 2(i)-2(l)). Note that collagen cannot be seen in any of the color H&E images.
3.3. High-grade dysplasia
In Fig. 4, the H&E and THG images exemplify high-grade dysplasia characterized by marked disruption of the tissue architecture with cellular disorganization. The nuclei are hyperchromatic and pleomorphic, with a greater increase in the nucleus to cytoplasm ratio as well as showing loss of polarity (Figs. 4(e)-4(h)). Label-free THG imaging with comparable contrast and resolution renders the features of the H&E images. The yellow arrows in Fig. 4 point to the cells identified as high-grade dysplasia. In addition, the SHG images of the basement membrane show thicker strands of sub-epithelial collagen than in Barrett’s with low-grade dysplasia and non-dysplastic Barrett’s. Moreover, collagen is not seen in the H&E views.
3.4. Basement membrane collagen
The SHG images acquired simultaneously with the THG images in this study show thickening of sub-epithelial (basement membrane) collagen with advancing stages of dysplasia. Figure 5 shows the same SHG images of different stages of the dysplasia shown in Figs. 2–4 when contrast adjusted by using Fiji. In each image (Figs. 5(a)-5(c)), three areas of sub-epithelial collagen were chosen (A, B, C) and the thickness measured increased progressively with advancing grades of dysplasia, with marked thickening in high-grade dysplasia.
4. Discussion
This initial work indicates the potential of MPM in generating label-free images of Barrett’s mucosa with contrast and clarity that is equal, if not superior, to traditional H&E microscopy enabling a histologic diagnosis to be made. Furthermore, the imaging of the sub-epithelial basement membrane evidences increasing thickness of collagen with progression of dysplasia, most prominently in the high-grade form. The increased thickness of basement membrane collagen may represent the body’s response to carcinogenesis by attempting to prevent invasion of cells into deeper layers as the disease progresses to cancer. Noting that this observation has been made in a small sample and the findings need to be verified in a larger study, we believe that the implied capability of the SHG MPI to selectively image basement membrane collagen may enable it to become a quantifiable tool for the identification of high-grade dysplasia, which would be of great clinical value.
Histological sample preparation and examination by a pathologist to identify the morphological features of a suspicious biopsy in conventional H&E light microscopy are not only time-consuming and burdensome; a diagnosis cannot be made in-vivo or at the point of care. MPM has the advantage of being able to provide high quality images ex-vivo or in-vivo and at the point of care. Furthermore, MPM should be able to image sub-epithelial buried glands and detect early invasion of cancer in reconstructed 3D images as well as 2D views.
5. Conclusion
We believe these to be the first reported THG images of Barrett’s esophagus for demonstration of MPI to identify diagnostic features of low- and high-grade dysplasia in Barrett’s. We also report on thickened basement membrane collagen in dysplastic Barrett’s epithelium in SHG images, which may prove to be a complementary diagnostic marker of disease stage.
Our preliminary results suggest that label-free THG and SHG images may provide not only a substitution for H&E histology in Barrett’s, but the future construction of a fiber-optic probe may enable in-vivo detection of unseen dysplasia or cancer during endoscopy and guide therapy, such as endoscopic mucosal resection and radio-frequency ablation.
Acknowledgments
Support from the CIAN NSF ERC under grant #EEC-0812072, the State of Arizona’s Photonics TRIF, and the Barrett’s Cancer Imaging grant are gratefully acknowledged.
References and links
1. G. W. Falk, “Risk factors for esophageal cancer development,” Surg. Oncol. Clin. N. Am. 18(3), 469–485 (2009). [CrossRef] [PubMed]
2. American Cancer Society, Cancer Facts and Figs. 2015. American Cancer Society. Atlanta, Ga (2015).
3. Esophageal cancer risk may be reduced through a variety of lifestyle factors–from taking aspirin to losing belly fat. Fred Hutchinson Cancer Research Center (2013).
4. M. Solaymani-Dodaran, R. F. Logan, J. West, T. Card, and C. Coupland, “Risk of oesophageal cancer in Barrett’s oesophagus and gastro-oesophageal reflux,” Gut 53(8), 1070–1074 (2004). [CrossRef] [PubMed]
5. S. J. Spechler and R. F. Souza, “Barrett’s esophagus,” N. Engl. J. Med. 371(9), 836–845 (2014). [CrossRef] [PubMed]
6. D. J. Kearney, C. Crump, C. Maynard, and E. J. Boyko, “A case-control study of endoscopy and mortality from adenocarcinoma of the esophagus or gastric cardia in persons with GERD,” Gastrointest. Endosc. 57(7), 823–829 (2003). [CrossRef] [PubMed]
7. N. J. Shaheen, P. Sharma, B. F. Overholt, H. C. Wolfsen, R. E. Sampliner, K. K. Wang, J. A. Galanko, M. P. Bronner, J. R. Goldblum, A. E. Bennett, B. A. Jobe, G. M. Eisen, M. B. Fennerty, J. G. Hunter, D. E. Fleischer, V. K. Sharma, R. H. Hawes, B. J. Hoffman, R. I. Rothstein, S. R. Gordon, H. Mashimo, K. J. Chang, V. R. Muthusamy, S. A. Edmundowicz, S. J. Spechler, A. A. Siddiqui, R. F. Souza, A. Infantolino, G. W. Falk, M. B. Kimmey, R. D. Madanick, A. Chak, and C. J. Lightdale, “Radiofrequency ablation in Barrett’s esophagus with dysplasia,” N. Engl. J. Med. 360(22), 2277–2288 (2009). [CrossRef] [PubMed]
8. O. Pech, A. May, H. Manner, A. Behrens, J. Pohl, M. Weferling, U. Hartmann, N. Manner, J. Huijsmans, L. Gossner, T. Rabenstein, M. Vieth, M. Stolte, and C. Ell, “Long-term efficacy and safety of endoscopic resection for patients with mucosal adenocarcinoma of the esophagus,” Gastroenterology 146(3), 652–660 (2014). [CrossRef] [PubMed]
9. D. Chatelain and J. F. Fléjou, “High-grade dysplasia and superficial adenocarcinoma in Barrett’s esophagus: histological mapping and expression of p53, p21 and Bcl-2 oncoproteins,” Virchows Arch. 442(1), 18–24 (2003). [PubMed]
10. J. R. Goldblum and G. Y. Lauwers, “Dysplasia arising in barrett’s esophagus: diagnostic pitfalls and natural history,” Semin. Diagn. Pathol. 19(1), 12–19 (2002). [PubMed]
11. B. J. Reid, R. C. Haggitt, C. E. Rubin, G. Roth, C. M. Surawicz, G. Van Belle, K. Lewin, W. M. Weinstein, D. A. Antonioli, H. Goldman, W. Macdonald, and D. Owen, “Observer variation in the diagnosis of dysplasia in Barrett’s esophagus,” Hum. Pathol. 19(2), 166–178 (1988). [CrossRef] [PubMed]
12. E. Montgomery, M. P. Bronner, J. R. Goldblum, J. K. Greenson, M. M. Haber, J. Hart, L. W. Lamps, G. Y. Lauwers, A. J. Lazenby, D. N. Lewin, M. E. Robert, A. Y. Toledano, Y. Shyr, and K. Washington, “Reproducibility of the diagnosis of dysplasia in Barrett esophagus: a reaffirmation,” Hum. Pathol. 32(4), 368–378 (2001). [CrossRef] [PubMed]
13. N. A. Gray, R. D. Odze, and S. J. Spechler, “Buried metaplasia after endoscopic ablation of Barrett’s esophagus: a systematic review,” Am. J. Gastroenterol. 106(11), 1899–1909 (2011). [CrossRef] [PubMed]
14. E. Chabrun, M. Marty, and F. Zerbib, “Development of esophageal adenocarcinoma on buried glands following radiofrequency ablation for Barrett’s esophagus,” Endoscopy 44(S 02Suppl 2 UCTN), E392 (2012). [CrossRef] [PubMed]
15. R. D. Odze and G. Y. Lauwers, “Histopathology of Barrett’s esophagus after ablation and endoscopic mucosal resection therapy,” Endoscopy 40(12), 1008–1015 (2008). [CrossRef] [PubMed]
16. H. Lantz and N. Vakil, “Barrett’s esophagus and argon plasma coagulation: buried trouble?” Am. J. Gastroenterol. 98(7), 1647–1649 (2003). [PubMed]
17. P. Sharma, R. H. Hawes, A. Bansal, N. Gupta, W. Curvers, A. Rastogi, M. Singh, M. Hall, S. C. Mathur, S. B. Wani, B. Hoffman, S. Gaddam, P. Fockens, and J. J. Bergman, “Standard endoscopy with random biopsies versus narrow band imaging targeted biopsies in Barrett’s oesophagus: a prospective, international, randomised controlled trial,” Gut 62(1), 15–21 (2013). [CrossRef] [PubMed]
18. M. J. Connor and P. Sharma, “Chromoendoscopy and magnification endoscopy in Barrett’s esophagus,” Gastrointest. Endosc. Clin. N. Am. 13(2), 269–277 (2003). [CrossRef] [PubMed]
19. E. L. Bird-Lieberman, A. A. Neves, P. Lao-Sirieix, M. O’Donovan, M. Novelli, L. B. Lovat, W. S. Eng, L. K. Mahal, K. M. Brindle, and R. C. Fitzgerald, “Molecular imaging using fluorescent lectins permits rapid endoscopic identification of dysplasia in Barrett’s esophagus,” Nat. Med. 18(2), 315–321 (2012). [CrossRef] [PubMed]
20. T. J. Muldoon, S. Anandasabapathy, D. Maru, and R. Richards-Kortum, “High-resolution imaging in Barrett’s esophagus: a novel, low-cost endoscopic microscope,” Gastrointest. Endosc. 68(4), 737–744 (2008). [CrossRef] [PubMed]
21. D. C. Adler, C. Zhou, T. H. Tsai, H. C. Lee, L. Becker, J. M. Schmitt, Q. Huang, J. G. Fujimoto, and H. Mashimo, “Three-dimensional optical coherence tomography of Barrett’s esophagus and buried glands beneath neosquamous epithelium following radiofrequency ablation,” Endoscopy 41(9), 773–776 (2009). [CrossRef] [PubMed]
22. B. Lin, S. Urayama, R. M. G. Saroufeem, D. L. Matthews, and S. G. Demos, “Establishment of rules for interpreting ultraviolet autofluorescence microscopy images for noninvasive detection of Barrett’s esophagus and dysplasia,” J. Biomed. Opt. 17(1), 016013 (2012). [CrossRef] [PubMed]
23. W. Denk, J. H. Strickler, and W. W. Webb, “Two-photon laser scanning fluorescence microscopy,” Science 248(4951), 73–76 (1990). [CrossRef] [PubMed]
24. W. R. Zipfel, R. M. Williams, and W. W. Webb, “Nonlinear magic: Multiphoton microscopy in the biosciences,” Nat. Biotechnol. 21(11), 1369–1377 (2003). [CrossRef] [PubMed]
25. M. C. Skala, J. M. Squirrell, K. M. Vrotsos, J. C. Eickhoff, A. Gendron-Fitzpatrick, K. W. Eliceiri, and N. Ramanujam, “Multiphoton microscopy of endogenous fluorescence differentiates normal, precancerous, and cancerous squamous epithelial tissues,” Cancer Res. 65(4), 1180–1186 (2005). [CrossRef] [PubMed]
26. J. Chen, S. Wong, M. H. Nathanson, and D. Jain, “Evaluation of Barrett esophagus by multi-photon microscopy,” Arch Pathol Lab Med. 138(8), 582 (2014).
27. J. N. Rogart, J. Nagata, C. S. Loeser, R. D. Roorda, H. Aslanian, M. E. Robert, W. R. Zipfel, and M. H. Nathanson, “Multiphoton imaging can be used for microscopic examination of intact human gastrointestinal mucosa ex vivo,” Clin. Gastroenterol. Hepatol. 6(1), 95–101 (2008). [CrossRef] [PubMed]
28. T. L. Sun, Y. Liu, M. C. Sung, H. C. Chen, C. H. Yang, V. Hovhannisyan, W. C. Lin, Y. M. Jeng, W. L. Chen, L. L. Chiou, G. T. Huang, K. H. Kim, P. T. C. So, Y. F. Chen, H. S. Lee, and C. Y. Dong, “Ex vivo imaging and quantification of liver fibrosis using second-harmonic generation microscopy,” J. Biomed. Opt. 15(3), 036002 (2010). [CrossRef] [PubMed]
29. S. Zhuo, J. Chen, G. Wu, S. S. Xie, L. Q. Zheng, X. S. Jiang, and X. Q. Zhu, “Quantitatively linking collagen alteration and epithelial tumor progression by second harmonic generation microscopy,” Appl. Phys. Lett. 96(21), 213704 (2010). [CrossRef]
30. D. Yelin and Y. Silberberg, “Laser scanning third-harmonic-generation microscopy in biology,” Opt. Express 5(8), 169–175 (1999). [CrossRef] [PubMed]
31. 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. Opt. Soc. Am. B 23(5), 932–950 (2006). [CrossRef]
32. M. J. Farrar, F. W. Wise, J. R. Fetcho, and C. B. Schaffer, “In vivo imaging of myelin in the vertebrate central nervous system using third harmonic generation microscopy,” Biophys. J. 100, 1362–1371 (2011).
33. N. G. Horton, K. Wang, D. Kobat, C. G. Clark, F. W. Wise, C. B. Schaffer, and C. Xu, “In vivo three-photon microscopy of subcortical structures within an intact mouse brain,” Nat. Photonics 7(3), 205–209 (2013). [CrossRef] [PubMed]
34. J. H. Park, W. Sun, and M. Cui, “High-resolution in vivo imaging of mouse brain through the intact skull,” Proc. Natl. Acad. Sci. U.S.A. 112(30), 9236–9241 (2015). [CrossRef] [PubMed]
35. E. J. Lee, B. Kim, H. G. Ahn, S. H. Park, E. Cheong, and S. Lee, “In-vivo and label-free imaging of cellular and tissue structures in mouse ear skin by using second- and third-harmonic generation microscopy,” J Korean Phys Soc, Vol. 66(4), 597–601 (2015). [CrossRef]
36. L. Jay, J. M. Bourget, B. Goyer, K. Singh, I. Brunette, T. Ozaki, and S. Proulx, “Characterization of tissue-engineered posterior corneas using second- and third-harmonic generation microscopy,” PLoS One 10(4), e0125564 (2015). [CrossRef] [PubMed]
37. J. Trägårdh, G. Robb, K. K. E. Gadalla, S. Cobb, C. Travis, G. L. Oppo, and G. McConnell, “Label-free imaging of thick tissue at 1550 nm using a femtosecond optical parametric generator,” Opt. Lett. 40(15), 3484–3487 (2015). [CrossRef] [PubMed]
38. S. Kumar, T. Kamali, J. M. Levitte, O. Katz, B. Hermann, R. Werkmeister, B. Považay, W. Drexler, A. Unterhuber, and Y. Silberberg, “Single-pulse CARS based multimodal nonlinear optical microscope for bioimaging,” Opt. Express 23(10), 13082–13098 (2015). [CrossRef] [PubMed]
39. E. Gavgiotaki, G. Filippidis, M. Kalognomou, A. A. Tsouko, I. Skordos, C. Fotakis, and I. Athanassakis, “Third harmonic generation microscopy as a reliable diagnostic tool for evaluating lipid body modification during cell activation: the example of BV-2 microglia cells,” J. Struct. Biol. 189(2), 105–113 (2015). [CrossRef] [PubMed]
40. O. Masihzadeh, T. C. Lei, S. R. Domingue, M. Y. Kahook, R. A. Bartels, and D. A. Ammar, “Third harmonic generation microscopy of a mouse retina,” Mol. Vis. 21, 538–547 (2015). [PubMed]
41. Y. C. Chen, S. Y. Lee, Y. Wu, K. Brink, D. B. Shieh, T. D. Huang, R. R. Reisz, and C. K. Sun, “Third-harmonic generation microscopy reveals dental anatomy in ancient fossils,” Opt. Lett. 40(7), 1354–1357 (2015). [CrossRef] [PubMed]
42. M. Yildirim, N. Durr, and A. Ben-Yakar, “Tripling the maximum imaging depth with third-harmonic generation microscopy,” J. Biomed. Opt. 20(9), 096013 (2015). [CrossRef] [PubMed]
43. K. Kieu, S. Mehravar, R. Gowda, R. A. Norwood, and N. Peyghambarian, “Label-free multi-photon imaging using a compact femtosecond fiber laser mode-locked by carbon nanotube saturable absorber,” Biomed. Opt. Express 4(10), 2187–2195 (2013). [CrossRef] [PubMed]
44. K. Kieu and M. Mansuripur, “Femtosecond laser pulse generation with a fiber taper embedded in carbon nanotube/polymer composite,” Opt. Lett. 32(15), 2242–2244 (2007). [CrossRef] [PubMed]
45. S. Preibisch, S. Saalfeld, and P. Tomancak, “Globally optimal stitching of tiled 3D microscopic image acquisitions,” Bioinformatics 25(11), 1463–1465 (2009). [CrossRef] [PubMed]
46. http://fiji.sc/Fiji.
47. L. C. Junqueira, G. Bignolas, and R. R. Brentani, “Picrosirius staining plus polarization microscopy, a specific method for collagen detection in tissue sections,” Histochem. J. 11(4), 447–455 (1979). [CrossRef] [PubMed]
48. H. Puchtler, F. S. Waldrop, and L. S. Valentine, “Polarization microscopic studies of connective tissue stained with picro-sirius red FBA,” Beitr. Pathol. 150(2), 174–187 (1973). [CrossRef] [PubMed]
49. P. Whittaker, R. A. Kloner, D. R. Boughner, and J. G. Pickering, “Quantitative assessment of myocardial collagen with picrosirius red staining and circularly polarized light,” Basic Res. Cardiol. 89(5), 397–410 (1994). [CrossRef] [PubMed]