11
Wide field-of-view Talbot grid-based microscopy for multicolor fluorescence imaging Shuo Pang, 1,* Chao Han, 1 Jessey Erath, 2 Ana Rodriguez, 2 and Changhuei Yang 1 1 Department of Electrical Engineering, California Institute of Technology, 1200 E. California Blvd. Pasadena, CA, 91125, USA 2 Department of Microbiology, Division of Medical Parasitology, New York University School of Medicine, New York, NY, 10010, USA * [email protected] Abstract: The capability to perform multicolor, wide field-of-view (FOV) fluorescence microscopy imaging is important in screening and pathology applications. We developed a microscopic slide-imaging system that can achieve multicolor, wide FOV, fluorescence imaging based on the Talbot effect. In this system, a light-spot grid generated by the Talbot effect illuminates the sample. By tilting the excitation beam, the Talbot-focused spot scans across the sample. The images are reconstructed by collecting the fluorescence emissions that correspond to each focused spot with a relay optics arrangement. The prototype system achieved an FOV of 12 × 10 mm 2 at an acquisition time as fast as 23 s for one fluorescence channel. The resolution is fundamentally limited by spot size, with a demonstrated full- width at half-maximum spot diameter of 1.2 μm. The prototype was used to image green fluorescent beads, double-stained human breast cancer SK-BR- 3 cells, Giardia lamblia cysts, and the Cryptosporidium parvum oocysts. This imaging method is scalable and simple for implementation of high- speed wide FOV fluorescence microscopy. ©2013 Optical Society of America OCIS codes: (180.2520) Fluorescence microscopy; (110.6760) Talbot and self-imaging effects. References and links 1. C.-D. Hu and T. K. Kerppola, “Simultaneous visualization of multiple protein interactions in living cells using multicolor fluorescence complementation analysis,” Nat. Biotechnol. 21(5), 539–545 (2003). 2. H. Tsurui, H. Nishimura, S. Hattori, S. Hirose, K. Okumura, and T. Shirai, “Seven-color fluorescence imaging of tissue samples based on Fourier spectroscopy and singular value decomposition,” J. Histochem. Cytochem. 48(5), 653–662 (2000). 3. G. Feng, R. H. Mellor, M. Bernstein, C. Keller-Peck, Q. T. Nguyen, M. Wallace, J. M. Nerbonne, J. W. Lichtman, and J. R. Sanes, “Imaging neuronal subsets in transgenic mice expressing multiple spectral variants of GFP,” Neuron 28(1), 41–51 (2000). 4. B. Neumann, T. Walter, J. K. Hériché, J. Bulkescher, H. Erfle, C. Conrad, P. Rogers, I. Poser, M. Held, U. Liebel, C. Cetin, F. Sieckmann, G. Pau, R. Kabbe, A. Wünsche, V. Satagopam, M. H. A. Schmitz, C. Chapuis, D. W. Gerlich, R. Schneider, R. Eils, W. Huber, J. M. Peters, A. A. Hyman, R. Durbin, R. Pepperkok, and J. Ellenberg, “Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes,” Nature 464(7289), 721–727 (2010). 5. Hamamastu NanoZoomer 2.0-HT Catalog”, retrieved http://jp.hamamatsu.com/resources/products/sys/pdf/eng/e_ndp20.pdf. 6. A. Orth and K. Crozier, “Microscopy with microlens arrays: high throughput, high resolution and light-field imaging,” Opt. Express 20(12), 13522–13531 (2012). 7. A. Orth and K. Crozier, “Gigapixel fluorescence microscopy with a water immersion microlens array,” Opt. Express 21(2), 2361–2368 (2013). 8. J. Wu, X. Cui, G. Zheng, Y. M. Wang, L. M. Lee, and C. Yang, “Wide field-of-view microscope based on holographic focus grid illumination,” Opt. Lett. 35(13), 2188–2190 (2010). 9. J. G. Wu, G. A. Zheng, Z. Li, and C. H. Yang, “Focal plane tuning in wide-field-of-view microscope with Talbot pattern illumination,” Opt. Lett. 36(12), 2179–2181 (2011). 10. A. Olszak and M. Descour, “Microscopy in multiples,” SPIE oemagazine, May 2005, 16–18 (2005), doi: 10.1117/2.5200505.0003. 11. B. Hulsken, D. Vossen, and S. Stallinga, “High NA diffractive array illuminators and application in a multi-spot scanning microscope,” J. European Opt. Soc.-Rapid Pub. 7, 12026 (2012).

Wide field-of-view Talbot grid-based microscopy for multicolor

  • Upload
    others

  • View
    4

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Wide field-of-view Talbot grid-based microscopy for multicolor
Page 2: Wide field-of-view Talbot grid-based microscopy for multicolor
Page 3: Wide field-of-view Talbot grid-based microscopy for multicolor
Page 4: Wide field-of-view Talbot grid-based microscopy for multicolor
Page 5: Wide field-of-view Talbot grid-based microscopy for multicolor
Page 6: Wide field-of-view Talbot grid-based microscopy for multicolor
Page 7: Wide field-of-view Talbot grid-based microscopy for multicolor
Page 8: Wide field-of-view Talbot grid-based microscopy for multicolor
Page 9: Wide field-of-view Talbot grid-based microscopy for multicolor
Page 10: Wide field-of-view Talbot grid-based microscopy for multicolor
Page 11: Wide field-of-view Talbot grid-based microscopy for multicolor

Figure 6 shows the fluorescence image of a mixture of G. lamblia cysts labeled with Alexa Fluor® 488 and C. parvum oocysts labeled with Qdot® 625. The fluorescence image taken by the Talbot microscope is comparable with the 20 × fluorescence microscope. The locations of some of the Cryptosporidium in the Talbot microscope slightly differed from those in the conventional microscope. This was due to perturbations of the sample while switching between the two imaging systems.

In the abovementioned multicolor fluorescence experiment, one excitation wavelength excited two different fluorophores. The system could also be adjusted for the use of multiple laser beams to image fluorophores with different excitation wavelengths. Because Talbot distance is a function of the wavelength, the Talbot distance varies for different wavelength excitations. A translational stage is needed to adjust the sample to accommodate this effect.

For the imaging of the microsphere sample, the imaging speed is limited by the electronic readout speed. In the double-color fluorescence imaging experiment, the low fluorescence signal level limits the imaging speed. Due to the large FOV, the excitation intensity of each Talbot spot is very low, which is only approximately 10−5 mW. A higher-power laser can be used to improve the imaging speed. We would like to point out that for dim sample imaging, the key to improvements in the imaging speed is to increase collection efficiency. The current system has a collection N.A. of 0.4. A higher N.A. collection system can be employed to improve fluorescence collection and, thereby, improve imaging speed.

The current multicolor FTM resolution is adequate for a wide range of biological applications. However, we believe that the resolution can be further improved. Although employing a microlens grid that has a higher N.A. may appear to be a reasonable solution, it is actually an approach with diminishing returns. The Talbot self-imaging effect is a paraxial optical approximation [21], which implies that the Talbot image is unable to faithfully regenerate the focused grid when the focused spot size is comparable to the optical wavelength.

A specially designed diffractive optical element is a potentially attractive way to achieve higher resolution [11]. Another promising way to achieve further resolution improvements is to redesign the refractive microlens surface so that the large angle (high spatial angular frequency) field projections can correctly “phase in” at the Talbot length to generate more tightly focused spots.

4. Conclusion

We have developed a multicolor FTM prototype based on the Talbot effect that can achieve wide FOV, multicolor fluorescence imaging of samples prepped on glass slides. The prototype system has achieved an FOV of 12 × 10 mm2 at a resolution of 1.2 μm. The acquisition time can be as fast as 23 s for one fluorescence channel. We demonstrated the imaging of green fluorescent beads and double-stained human breast cancer SK-BR-3 cells. We also applied the system to image two protozoan parasites, Giardia and Cryptosporidium, which showed its potential in enteric parasite screening. We expect that this system can be applied in wide FOV screening and sensing applications.

Acknowledgments

We thank Hao Yuan Kueh (Division of Biology, Caltech) for helpful discussions on large-FOV imaging based on conventional microscopy. This project was funded by the NIH under grant 1R01AI096226-01.

#190549 - $15.00 USD Received 14 May 2013; revised 5 Jun 2013; accepted 5 Jun 2013; published 11 Jun 2013(C) 2013 OSA 17 June 2013 | Vol. 21, No. 12 | DOI:10.1364/OE.21.014555 | OPTICS EXPRESS 14565