Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Perspective
  • Published:

Practical considerations for quantitative light sheet fluorescence microscopy

Abstract

Fluorescence microscopy has evolved from a purely observational tool to a platform for quantitative, hypothesis-driven research. As such, the demand for faster and less phototoxic imaging modalities has spurred a rapid growth in light sheet fluorescence microscopy (LSFM). By restricting the excitation to a thin plane, LSFM reduces the overall light dose to a specimen while simultaneously improving image contrast. However, the defining characteristics of light sheet microscopes subsequently warrant unique considerations in their use for quantitative experiments. In this Perspective, we outline many of the pitfalls in LSFM that can compromise analysis and confound interpretation. Moreover, we offer guidance in addressing these caveats when possible. In doing so, we hope to provide a useful resource for life scientists seeking to adopt LSFM to quantitatively address complex biological hypotheses.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Effect of beam waist on image quality.
Fig. 2: Misalignment of light sheet and focal plane compromises feature detection and axial localization.
Fig. 3: Nonuniform illumination intensity in LSFM.
Fig. 4: Degradation of light sheet quality.
Fig. 5: Reducing FOV improves accuracy of stitching.
Fig. 6: Registration failure and motion artifact in multiview fusion.

Similar content being viewed by others

Data availability

Data used in this article are available at https://doi.org/10.6084/m9.figshare.c.6211429 or from the authors on request.

References

  1. Wait, E. C., Reiche, M. A. & Chew, T. L. Hypothesis-driven quantitative fluorescence microscopy—the importance of reverse-thinking in experimental design. J. Cell Sci. 133, jcs250027 (2020).

    Article  CAS  PubMed  Google Scholar 

  2. Esposito, A. et al. Quantitative fluorescence microscopy techniques. Methods Mol. Biol. 586, 117–142 (2009).

    Article  CAS  PubMed  Google Scholar 

  3. Waters, J. C. & Wittmann, T. in Quantitative Imaging in Cell Biology (eds Waters, J. C. & Wittman, T.) Ch. 1 (Academic Press, 2014).

  4. Lecoq, J., Orlova, N. & Grewe, B. F. Wide. Fast. Deep: recent advances in multiphoton microscopy of in vivo neuronal activity. J. Neurosci. 39, 9042–9052 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Stelzer, E. H. K. et al. Light sheet fluorescence microscopy. Nat. Rev. Methods Prim. 1, 73 (2021).

  6. Jacquemet, G., Carisey, A. F., Hamidi, H., Henriques, R. & Leterrier, C. The cell biologist’s guide to super-resolution microscopy. J. Cell Sci. 133, jcs240713 (2020).

    Article  CAS  PubMed  Google Scholar 

  7. Ji, N. Adaptive optical fluorescence microscopy. Nat. Methods 14, 374–380 (2017).

    Article  CAS  PubMed  Google Scholar 

  8. Grimm, J. B. & Lavis, L. D. Caveat fluorophore: an insiders’ guide to small-molecule fluorescent labels. Nat. Methods https://doi.org/10.1038/s41592-021-01338-6 (2021).

    Article  PubMed  Google Scholar 

  9. Rodriguez, E. A. et al. The growing and glowing toolbox of fluorescent and photoactive proteins. Trends Biochem. Sci. 42, 111–129 (2017).

    Article  CAS  PubMed  Google Scholar 

  10. Lelek, M. et al. Single-molecule localization microscopy. Nat. Rev. Methods Prim. 1, 39 (2021).

    Article  CAS  Google Scholar 

  11. Combs, C. A. & Shroff, H. Fluorescence microscopy: a concise guide to current imaging methods. Curr. Protoc. Neurosci. 2017, 2.1.1–2.1.25 (2017).

    Google Scholar 

  12. Reynaud, E. G., Peychl, J., Huisken, J. & Tomancak, P. Guide to light-sheet microscopy for adventurous biologists. Nat. Methods 12, 30–34 (2014).

    Article  Google Scholar 

  13. Royer, L. A., Lemon, W. C., Chhetri, R. K. & Keller, P. J. A practical guide to adaptive light-sheet microscopy. Nat. Protoc. 13, 2462–2500 (2018).

    Article  CAS  PubMed  Google Scholar 

  14. Power, R. M. & Huisken, J. A guide to light-sheet fluorescence microscopy for multiscale imaging. Nat. Methods 14, 360–373 (2017).

    Article  CAS  PubMed  Google Scholar 

  15. Girkin, J. M. & Carvalho, M. T. The light-sheet microscopy revolution. J. Optics 20, 053002 (2018).

  16. Wan, Y., McDole, K. & Keller, P. J. Light-sheet microscopy and its potential for understanding developmental processes. Annu. Rev. Cell Dev. Biol. 35, 655–681 (2019).

    Article  CAS  PubMed  Google Scholar 

  17. Huisken, J., Swoger, J., Del Bene, 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  PubMed  Google Scholar 

  18. Voie, A. H., Burns, D. H. & Spelman, F. A. Orthogonal‐plane fluorescence optical sectioning: three‐dimensional imaging of macroscopic biological specimens. J. Microsc. 170, 229–236 (1993).

    Article  CAS  PubMed  Google Scholar 

  19. Gebhardt, J. C. M. et al. Single-molecule imaging of transcription factor binding to DNA in live mammalian cells. Nat. Methods 10, 421–426 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Wolf, S. et al. Whole-brain functional imaging with two-photon light-sheet microscopy. Nat. Methods 12, 379–380 (2015).

    Article  CAS  PubMed  Google Scholar 

  21. Waters, J. C. Accuracy and precision in quantitative fluorescence microscopy. J. Cell Biol. 185, 1135–1148 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Jonkman, J., Brown, C. M., Wright, G. D., Anderson, K. I. & North, A. J. Tutorial: guidance for quantitative confocal microscopy. Nat. Protoc. 15, 1585–1611 (2020).

    Article  CAS  PubMed  Google Scholar 

  23. North, A. J. Seeing is believing? A beginners’ guide to practical pitfalls in image acquisition. J. Cell Biol. 172, 9–18 (2006).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Lee, J. Y. & Kitaoka, M. A beginner’s guide to rigor and reproducibility in fluorescence imaging experiments. Mol. Biol. Cell 29, 1519–1525 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Brown, C. M. Fluorescence microscopy—avoiding the pitfalls. J. Cell Sci. 120, 1703–1705 (2007).

    Article  CAS  PubMed  Google Scholar 

  26. Chen, B. C. et al. Lattice light-sheet microscopy: imaging molecules to embryos at high spatiotemporal resolution. Science 346, 1257998 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Keller, P. 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  PubMed  Google Scholar 

  28. Chang, B. J. et al. Universal light-sheet generation with field synthesis. Nat. Methods 16, 235–238 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Self, S. A. Focusing of spherical Gaussian beams. Appl. Opt. 22, 658 (1983).

    Article  CAS  PubMed  Google Scholar 

  30. Planchon, T. A. et al. Rapid three-dimensional isotropic imaging of living cells using Bessel beam plane illumination. Nat. Methods 8, 417–423 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Fahrbach, F. O. & Rohrbach, A. A line scanned light-sheet microscope with phase shaped self-reconstructing beams. Opt. Express 18, 24229 (2010).

    Article  PubMed  Google Scholar 

  32. Gao, L. Extend the field of view of selective plan illumination microscopy by tiling the excitation light sheet. Opt. Express https://doi.org/10.1364/oe.23.006102 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  33. Dean, K. M., Roudot, P., Welf, E. S., Danuser, G. & Fiolka, R. Deconvolution-free subcellular imaging with axially swept light sheet microscopy. Biophys. J. 108, 2807–2815 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Kim, B. et al. Open-top axially swept light-sheet microscopy. Biomed. Opt. Express 12, 2328 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  35. Liu, Y., Rollins, A. M. & Jenkins, M. W. CompassLSM: axially swept light-sheet microscopy made simple. Biomed. Opt. Express 12, 6571 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  36. Landry, J., Hamann, S. & Solgaard, O. High-speed axially swept light sheet microscopy using a linear MEMS phased array for isotropic resolution. J. Biomed. Opt. 25, 106504 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  37. Chakraborty, T. et al. Light-sheet microscopy of cleared tissues with isotropic, subcellular resolution. Nat. Methods https://doi.org/10.1038/s41592-019-0615-4 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  38. Wu, Y. et al. Spatially isotropic four-dimensional imaging with dual-view plane illumination microscopy. Nat. Biotechnol. 31, 1032–1038 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Kumar, A. et al. Dual-view plane illumination microscopy for rapid and spatially isotropic imaging. Nat. Protoc. 9, 2555–2573 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Octave, J. ‐N., Schneider, Y. ‐J., Trouet, A. & Crichton, R. R. Transferrin uptake by cultured rat embryo fibroblasts: the influence of temperature and incubation time, subcellular distribution and short‐term kinetic studies. Eur. J. Biochem. 115, 611–618 (1981).

    Article  CAS  PubMed  Google Scholar 

  41. Tsien, R. Y., Ernst, L. & Waggoner, A. in Handbook of Biological Confocal Microscopy 3rd edn (ed. Pawley, J. B.) 338–352 (Springer, 2006).

  42. Gavryusev, V. et al. Dual-beam confocal light-sheet microscopy via flexible acousto-optic deflector. J. Biomed. Opt. 24, 106504 (2019).

  43. Glaser, A. K. et al. Multidirectional digital scanned light-sheet microscopy enables uniform fluorescence excitation and contrast-enhanced imaging. Sci. Rep. 8, 13878 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  44. G. De, Medeiros et al. Confocal multiview light-sheet microscopy. Nat. Commun. 6, 8881 (2015).

    Article  Google Scholar 

  45. Baumgart, E. & Kubitscheck, U. Scanned light sheet microscopy with confocal slit detection. Opt. Express 20, 21805 (2012).

    Article  PubMed  Google Scholar 

  46. Chakraborty, T. et al. Light-sheet microscopy of cleared tissues with isotropic, subcellular resolution. Nat. Methods 16, 1109–1113 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Shutova, M. S. & Svitkina, T. M. Common and specific functions of nonmuscle myosin II paralogs in cells. Biochemistry (Mosc.) https://doi.org/10.1134/S0006297918120040 (2018).

  48. Kask, P., Palo, K., Hinnah, C. & Pommerencke, T. Flat field correction for high-throughput imaging of fluorescent samples. J. Microsc. https://doi.org/10.1111/jmi.12404 (2016).

    Article  PubMed  Google Scholar 

  49. Smith, K. et al. CIDRE: an illumination-correction method for optical microscopy. Nat. Methods https://doi.org/10.1038/nmeth.3323 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  50. Likar, B., Maintz, J. B. A., Viergever, M. A. & Pernuš, F. Retrospective shading correction based on entropy minimization. J. Microsc. https://doi.org/10.1046/j.1365-2818.2000.00669.x (2000).

    Article  PubMed  Google Scholar 

  51. Tomer, R., Khairy, K., Amat, F. & Keller, P. J. Quantitative high-speed imaging of entire developing embryos with simultaneous multiview light-sheet microscopy. Nat. Methods 9, 755–763 (2012).

    Article  CAS  PubMed  Google Scholar 

  52. Huisken, J. & Stainier, D. Y. R. Even fluorescence excitation by multidirectional selective plane illumination microscopy (mSPIM). Opt. Lett. 32, 2608 (2007).

    Article  PubMed  Google Scholar 

  53. Ricci, P. et al. Removing striping artifacts in light-sheet fluorescence microscopy: a review. Prog. Biophys. Mol. Biol. 168, 52–65 (2022).

    Article  PubMed  Google Scholar 

  54. Gao, R. et al. Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution. Science 363, eaau8302 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Guo, M. et al. Rapid image deconvolution and multiview fusion for optical microscopy. Nat. Biotechnol. 38, 1337–1346 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Ueda, H. R. et al. Whole-brain profiling of cells and circuits in mammals by tissue clearing and light-sheet microscopy. Neuron 106, 369–387 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Voigt, F. F. et al. The mesoSPIM initiative: open-source light-sheet microscopes for imaging cleared tissue. Nat. Methods 16, 1105–1108 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Chen, F., Tillberg, P. W. & Boyden, E. S. Expansion microscopy. Science 347, 543–548 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Chung, K. et al. Structural and molecular interrogation of intact biological systems. Nature 497, 332–337 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Dodt, H. U. et al. Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain. Nat. Methods 4, 331–336 (2007).

    Article  CAS  PubMed  Google Scholar 

  61. Hama, H. et al. ScaleS: an optical clearing palette for biological imaging. Nat. Neurosci. 18, 1518–1529 (2015).

    Article  CAS  PubMed  Google Scholar 

  62. Jing, D. et al. Tissue clearing of both hard and soft tissue organs with the pegasos method. Cell Res. 28, 803–818 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Renier, N. et al. IDISCO: a simple, rapid method to immunolabel large tissue samples for volume imaging. Cell 159, 896–910 (2014).

    Article  CAS  PubMed  Google Scholar 

  64. Susaki, E. A. et al. Whole-brain imaging with single-cell resolution using chemical cocktails and computational analysis. Cell 157, 726–739 (2014).

    Article  CAS  PubMed  Google Scholar 

  65. Tainaka, K., Kuno, A., Kubota, S. I., Murakami, T. & Ueda, H. R. Chemical principles in tissue clearing and staining protocols for whole-body cell profiling. Annu. Rev. Cell Dev. Biol. 32, 713–741 (2016).

    Article  CAS  PubMed  Google Scholar 

  66. Preibisch, S., Saalfeld, S. & Tomancak, P. Globally optimal stitching of tiled 3D microscopic image acquisitions. Bioinformatics 25, 1463–1465 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Burger, W. & Burge, M. Principles of Digital Image Processing: Advanced Methods. Principles of Digital Image Processing (Springer, 2013).

  68. Pitas, I. Digital Image Processing Algorithms and Applications (Wiley, 2000).

  69. Wallace, W., Schaefer, L. H. & Swedlow, J. R. A workingperson’s guide to deconvolution in light microscopy. BioTechniques https://doi.org/10.2144/01315bi01 (2001).

    Article  PubMed  Google Scholar 

  70. Biggs, D. S. C. A practical guide to deconvolution of fluorescence microscope imagery. Micros. Today https://doi.org/10.1017/s1551929510991311 (2010).

    Article  Google Scholar 

  71. McNally, J. G., Karpova, T., Cooper, J. & Conchello, J. A. Three-dimensional imaging by deconvolution microscopy. Methods https://doi.org/10.1006/meth.1999.0873 (1999).

    Article  PubMed  Google Scholar 

  72. Aaron, J. & Chew, T. L. A guide to accurate reporting in digital image processing—can anyone reproduce your quantitative analysis? J. Cell Sci. https://doi.org/10.1242/jcs.254151 (2021).

    Article  PubMed  Google Scholar 

  73. Pitrone, P. G. et al. OpenSPIM: an open-access light-sheet microscopy platform. Nat. Methods 10, 598–599 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Swoger, J., Verveer, P., Greger, K., Huisken, J. & Stelzer, E. H. K. Multi-view image fusion improves resolution in three-dimensional microscopy. Opt. Express 15, 8029 (2007).

    Article  PubMed  Google Scholar 

  75. Krzic, U., Gunther, S., Saunders, T. E., Streichan, S. J. & Hufnagel, L. Multiview light-sheet microscope for rapid in toto imaging. Nat. Methods 9, 730–733 (2012).

    Article  CAS  PubMed  Google Scholar 

  76. Chhetri, R. K. et al. Whole-animal functional and developmental imaging with isotropic spatial resolution. Nat. Methods 12, 1171–1178 (2015).

    Article  CAS  PubMed  Google Scholar 

  77. Preibisch, S., Saalfeld, S., Schindelin, J. & Tomancak, P. Software for bead-based registration of selective plane illumination microscopy data. Nat. Methods 7, 418–419 (2010).

    Article  CAS  PubMed  Google Scholar 

  78. Amat, F. et al. Efficient processing and analysis of large-scale light-sheet microscopy data. Nat. Protoc. 10, 1679–1696 (2015).

    Article  CAS  PubMed  Google Scholar 

  79. Preibisch, S. et al. Efficient Bayesian-based multiview deconvolution. Nat. Methods 11, 645–648 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  80. Brown, L. G. A survey of image registration techniques. ACM Comput. Surv. 24, 325–376 (1992).

    Article  Google Scholar 

  81. Ashburner, J. & Friston, K. in Human Brain Function 2nd edn (eds Friston, K. et al.) 635–653 (Elsevier, 2003).

  82. Ruthotto, L. & Modersitzki, J. in Handbook of Mathematical Methods in Imaging 2nd edn, Vol. 1 (ed. Scherzer, O.) 2005–2051 (Springer, 2015).

  83. Wu, Y. et al. Reflective imaging improves spatiotemporal resolution and collection efficiency in light sheet microscopy. Nat. Commun. 8, 1452 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  84. Allais, M. L’anisotropie de l’espace: la nécessaire révision de certains postulats des théories contemporaines. Les données de l’expérience (Clément Juglar, 1997).

  85. Royer, L. A. et al. Adaptive light-sheet microscopy for long-term, high-resolution imaging in living organisms. Nat. Biotechnol. 34, 1267–1278 (2016).

    Article  CAS  PubMed  Google Scholar 

  86. Siedentopf, H. & Zsigmondy, R. Uber Sichtbarmachung und Größenbestimmung ultramikoskopischer Teilchen, mit besonderer Anwendung auf Goldrubingläser. Ann. Phys. 315, 1–39 (1902).

    Article  Google Scholar 

  87. Chew, T.-L., George, R., Soell, A. & Betzig, E. Opening a path to commercialization. Opt. Photonics N. 28, 42 (2017).

    Article  Google Scholar 

  88. Reiche, M. A. et al. When light meets biology: how the specimen affects quantitative microscopy. J. Cell Sci. 135, jcs259656 (2022).

  89. Hampson, K. M. et al. Adaptive optics for high-resolution imaging. Nat. Rev. Methods Prim. 1, 68 (2021).

    Article  CAS  Google Scholar 

  90. Liu, T. L. et al. Observing the cell in its native state: imaging subcellular dynamics in multicellular organisms. Science 360, eaaq1392 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  91. Hubert, A. et al. Adaptive optics light-sheet microscopy based on direct wavefront sensing without any guide star. Opt. Lett. 44, 2514 (2019).

    Article  CAS  PubMed  Google Scholar 

  92. Wilding, D., Pozzi, P., Soloviev, O., Vdovin, G. & Verhaegen, M. Adaptive illumination based on direct wavefront sensing in a light-sheet fluorescence microscope. Opt. Express 24, 24896 (2016).

    Article  PubMed  Google Scholar 

  93. Bourgenot, C., Saunter, C. D., Taylor, J. M., Girkin, J. M. & Love, G. D. 3D adaptive optics in a light sheet microscope. Opt. Express 20, 13252 (2012).

    Article  PubMed  Google Scholar 

  94. Schoeneberg, J. 4D cell biology: adaptive optics lattice light-sheet imaging and AI powered big data processing of live stem cell-derived organoids. J. Biomol. Tech. 31, S33 (2020).

    Google Scholar 

  95. Mahou, P., Vermot, J., Beaurepaire, E. & Supatto, W. Multicolor two-photon light-sheet microscopy. Nat. Methods 11, 600–601 (2014).

    Article  CAS  PubMed  Google Scholar 

  96. Truong, T. V., Supatto, W., Koos, D. S., Choi, J. M. & Fraser, S. E. Deep and fast live imaging with two-photon scanned light-sheet microscopy. Nat. Methods 8, 757–762 (2011).

    Article  CAS  PubMed  Google Scholar 

  97. Zong, W. et al. Large-field high-resolution two-photon digital scanned light-sheet microscopy. Cell Res. 25, 254–257 (2015).

    Article  CAS  PubMed  Google Scholar 

  98. Escobet-Montalbán, A. et al. Three-photon light-sheet fluorescence microscopy. Opt. Lett. 43, 5484 (2018).

    Article  PubMed  Google Scholar 

  99. Weigert, M. et al. Content-aware image restoration: pushing the limits of fluorescence microscopy. Nat. Methods 15, 1090–1097 (2018).

    Article  CAS  PubMed  Google Scholar 

  100. Krull, A., Vičar, T., Prakash, M., Lalit, M. & Jug, F. Probabilistic Noise2Void: unsupervised content-aware denoising. Front. Comput. Sci. https://doi.org/10.3389/fcomp.2020.00005 (2020).

Download references

Acknowledgements

We thank S. Khuon, L. Eisenman, A. Nain, C. Hernandez-Padillaand and L. Zhang for cell culture and sample preparation; W. Lemon for preparation of D. melanogaster embryos; D. Dalle Nogare and A. Chitnis for preparation of zebrafish samples; R. Christensen for C. elegans sample preparation; Z. Bao for providing the OD58 C. elegans strain; Y. Su, I. Curtin, F. Kyere, J. Stein and M.S. Itano for advice and assistance with brain sample preparation; and M. DeSantis and the Janelia Light Microscopy Facility. This work was supported in part by the intramural research program of the National Institute of Biomedical Imaging and Bioengineering at the National Institutes of Health (M.G., H.D.V., Y.W. and H.S.). The Advanced Imaging Center at Janelia Research Campus was generously supported by the Howard Hughes Medical Institute and the Gordon and Betty Moore Foundation (C.M.H. and T.-L.C.).

Author information

Authors and Affiliations

Authors

Contributions

C.M.H., M.G., H.D.V. and Y.W. performed the imaging experiments and accompanying analyses. H.S. and T.-L.C. oversaw the project. All authors contributed to writing and editing the manuscript.

Corresponding author

Correspondence to Teng-Leong Chew.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Methods thanks Kevin Dean, Niall Geoghegan, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Primary Handling Editor: Rita Strack, in collaboration with the Nature Methods team.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 ‘Practical Considerations for Quantitative Light Sheet Fluorescence Microscopy’ Infographic.

Summary of the important considerations for quantitative LSFM described in this Perspective.

Supplementary information

Supplementary Information

Supplementary Methods and Figs. 1–8.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hobson, C.M., Guo, M., Vishwasrao, H.D. et al. Practical considerations for quantitative light sheet fluorescence microscopy. Nat Methods 19, 1538–1549 (2022). https://doi.org/10.1038/s41592-022-01632-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41592-022-01632-x

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing