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Time-lapse X-ray phase-contrast microtomography for in vivo imaging and analysis of morphogenesis

Abstract

X-ray phase-contrast microtomography (XPCμT) is a label-free, high-resolution imaging modality for analyzing early development of vertebrate embryos in vivo by using time-lapse sequences of 3D volumes. Here we provide a detailed protocol for applying this technique to study gastrulation in Xenopus laevis (African clawed frog) embryos. In contrast to μMRI, XPCμT images optically opaque embryos with subminute temporal and micrometer-range spatial resolution. We describe sample preparation, culture and suspension of embryos, tomographic imaging with a typical duration of 2 h (gastrulation and neurulation stages), intricacies of image pre-processing, phase retrieval, tomographic reconstruction, segmentation and motion analysis. Moreover, we briefly discuss our present understanding of X-ray dose effects (heat load and radiolysis), and we outline how to optimize the experimental configuration with respect to X-ray energy, photon flux density, sample-detector distance, exposure time per tomographic projection, numbers of projections and time-lapse intervals. The protocol requires an interdisciplinary effort of developmental biologists for sample preparation and data interpretation, X-ray physicists for planning and performing the experiment and applied mathematicians/computer scientists/physicists for data processing and analysis. Sample preparation requires 9–48 h, depending on the stage of development to be studied. Data acquisition takes 2–3 h per tomographic time-lapse sequence. Data processing and analysis requires a further 2 weeks, depending on the availability of computing power and the amount of detail required to address a given scientific problem.

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Figure 1: Experimental setup for propagation-based phase-contrast X-ray microtomography.
Figure 2: Schematic drawing of sample holder preparation.
Figure 3: Correspondence between radiographs and reconstructed, central-horizontal slice.
Figure 4: Removal of a hot pixel.
Figure 5: Removal of stripe artifacts, flat-field and dark-field correction.
Figure 6: Pre-processed intensity maps and ring-artifact removal by sinogram filtering.
Figure 7: Horizontal slice through reconstructed volume for high count rates.
Figure 8: Horizontal slice through reconstructed volume for low count rates.
Figure 9: Structure and dynamics of X. laevis gastrulation.
Figure 10: Analysis of differential cell movement to distinguish active from passive and individual from collective behavior.
Figure 11: Quantitative assesment of morphological changes.

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References

  1. Gurdon, J.B. Adult frogs derived from the nuclei of single somatic cells. Dev. Biol. 4, 256–273 (1962).

    Article  CAS  Google Scholar 

  2. Gurdon, J.B. Multiple genetically-identical frogs. J. Heredity 53, 4–9 (1962).

    Article  Google Scholar 

  3. Keller, R., Davidson, L.A. & Shook, D.R. How are we shaped: the biomechanics of gastrulation. Differentiation 71, 171–205 (2003).

    Article  Google Scholar 

  4. Moosmann, J. et al. X-ray phase-contrast in vivo microtomography probes novel aspects of Xenopus gastrulation. Nature 497, 374–377 (2013).

    Article  CAS  Google Scholar 

  5. Tuft, P.H. The uptake and distribution of water in the embryo of Xenopus laevis (Daudin). J. Exp. Biol. 39, 1–19 (1962).

    Article  CAS  Google Scholar 

  6. Brox, T., Bruhn, A., Papenberg, N. & Weickert, J. High-accuracy optical flow estimation based on a theory for warping. Lect. Notes in Comp. Sci. 3024, 25–36 (2004).

    Article  Google Scholar 

  7. Keller, R., Shook, D. & Skoglund, P. The forces that shape embryos: physical aspects of convergent extension by cell intercalation. Phys. Biol. 5, 1–23 (2008).

    Article  Google Scholar 

  8. Paganin, D., Mayo, S.C., Miller, P.R. & Wilkins, S.W. Simultaneous phase and amplitude extraction from a single defocused image of a homogeneous object. J. Microsc. 206, 33–40 (2002).

    Article  CAS  Google Scholar 

  9. Wu, X., Liu, H. & Yan, A. X-ray phase-attenuation duality and phase retrieval. Opt. Lett. 30, 379–381 (2005).

    Article  CAS  Google Scholar 

  10. Ruffins, S.W., Russells, E.J. & Fraser, S.E. Towards a Tralfamadorian view of the embryo: multidimensional imaging of development. Curr. Opin. Neurobiol. 12, 580–586 (2002).

    Article  CAS  Google Scholar 

  11. Huisken, J., Swoger, J., DelBene, F., Wittbrodt, J. & Stelzer, E.H.K. Optical sectioning deep inside live embryos by selective plane illumination microscopy. Science 305, 1007–1009 (2004).

    Article  CAS  Google Scholar 

  12. Keller, Ph.J., Schmidt, A.D., Wittbrodt, J. & Stelzer, E.H.K. Reconstruction of zebrafish early embryonic development by scanned light sheet microscopy. Science 322, 1065–1069 (2008).

    Article  CAS  Google Scholar 

  13. Papan, C., Velan, S.S., Fraser, S.E. & Jacobs, R.E. 3D time-lapse analysis of Xenopus gastrulation movements using μMRI. Dev. Biol. 235, 189 (2001).

    Google Scholar 

  14. Kültz, D. Molecular and evolutionary basis of the cellular stress response. Ann. Rev. Physiol. 67, 225–257 (2005).

    Article  Google Scholar 

  15. Howells, M.R. et al. An assessment of the resolution limitation due to radiation-damage in X-ray diffraction microscopy. J. Electr. Spectr. Rel. Phen. 170, 4–12 (2009).

    Article  CAS  Google Scholar 

  16. Batenburg, K.J. & Plantagie, L. Fast approximation of algebraic reconstruction methods for tomography. IEEE Trans. Image Process. 21, 3649–3658 (2012).

    Article  Google Scholar 

  17. Snigirev, A., Snigireva, I., Kohn, V., Kuznetsov, S. & Schelokov, I. On the possibilities of X-ray phase contrast microimaging by coherent high-energy synchrotron radiation. Rev. Sci. Instrum. 66, 5486–5493 (1995).

    Article  CAS  Google Scholar 

  18. Wilkins, S.W., Gureyev, T.E., Gao, D., Pogany, A. & Stevenson, A.W. Phase-contrast imaging using polychromatic hard X-rays. Nature 384, 335–338 (1996).

    Article  CAS  Google Scholar 

  19. Nugent, K.A., Gureyev, T.E., Cookson, D.F., Paganin, D.M. & Barnea, Z. Quantitative phase imaging using hard X rays. Phys. Rev. Lett. 77, 2961–2964 (1996).

    Article  CAS  Google Scholar 

  20. Hofmann, R., Moosmann, J. & Baumbach, T. Criticality in single-distance phase retrieval. Opt. Express 19, 25881–25890 (2011).

    Article  CAS  Google Scholar 

  21. Moosmann, J., Hofmann, R. & Baumbach, T. Single-distance phase retrieval at large phase shifts. Opt. Express 19, 12066–12073 (2011).

    Article  Google Scholar 

  22. Guigay, J.-P. Fourier transform analysis of Fresnel diffraction patterns and in-line holograms. Optik 49, 121–125 (1977).

    Google Scholar 

  23. Bleuet, P. et al. A hard X-ray nanoprobe for scanning and projection nanotomography. Rev. Sci. Instr. 80, 056101 (2009).

    Article  Google Scholar 

  24. Amaya, E. et al. Techniques and probes for the study of Xenopus tropicalis development. Dev. Dyn. 225, 499–510.

  25. Sive, H.L., Grainger, R.M. & Harland, R.M. Early Development of Xenopus laevis, a Laboratory Manual (Cold Spring Harbor Laboratory Press, 2000).

  26. Nieuwkoop, P.D. & Faber, J. Normal Table of Xenopus laevis (Daudin). North-Holland Publishing Co. (1956).

  27. Henke, B.L., Gullikson, E.M. & Davis, J.C. X-ray interactions: photoabsorption, scattering, transmission, and reflection at E = 50-30000 eV, Z = 1-92. Atom. Data Nucl. Data Tables 54, 181–342 (1993).

    Article  CAS  Google Scholar 

  28. Martin, T. et al. LSO-based single crystal film scintillator for synchrotron-based hard X-ray micro-imaging. IEEE Trans. Nucl. Sci. 56, 1412–1418 (2009).

    Article  CAS  Google Scholar 

  29. Schneider, C.A., Rasband, W.S. & Eliceiri, K.W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675 (2012).

    Article  CAS  Google Scholar 

  30. Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).

    Article  CAS  Google Scholar 

  31. Weickert, J. & Schnörr, C. Variational optic ow computation with a spatio-temporal smoothness constraint. J. Math. Imaging Vision 14, 245–255 (2001).

    Article  Google Scholar 

  32. Sun, D., Roth, S. & Black, M. Secrets of optical flow estimation and their principles. IEEE Conf. Comput. Vision Pattern Recog. 13–18 June 2010 2432–2439 (2010).

  33. Rack, A. et al. Comparative study of multilayers used in monochromators for synchrotron-based coherent hard X-ray imaging. J. Synchr. Rad. 17, 496–451 (2010).

    Article  CAS  Google Scholar 

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Acknowledgements

We thank T. van de Kamp for his help visualizing the setup and the sample-holder preparation, as well as F. de Carlo for allocating beam time at 2-BM-B station of APS, Argonne National Laboratory. The use of the APS, an Office of Science User Facility operated for the US Department of Energy (DOE) Office of Science by Argonne National Laboratory, was supported by the US DOE under contract no. DE-AC02-06CH11357. J.K.'s Young Investigator Group received financial support from the 'Concept for the Future' program of Karlsruhe Institute of Technology within the framework of the German Excellence Initiative. This research partially was funded by the German Federal Ministry of Education and Research under grant nos. 05K12CK2 and 05K12VH1, as well as by COST action MP1207.

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R.H. drafted the manuscript, and J.M., J.K. and A.E. contributed text. Figures were prepared by J.M., A.E and J.K. V.W., T.B., C.L., M.S.P. and X.X. provided critical review. All authors contributed to the final manuscript.

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Correspondence to Jubin Kashef or Ralf Hofmann.

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Moosmann, J., Ershov, A., Weinhardt, V. et al. Time-lapse X-ray phase-contrast microtomography for in vivo imaging and analysis of morphogenesis. Nat Protoc 9, 294–304 (2014). https://doi.org/10.1038/nprot.2014.033

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