editorial\(\def\hfill{\hskip 5em}\def\hfil{\hskip 3em}\def\eqno#1{\hfil {#1}}\)

ISSN: 2052-2525

CryoEM in the fast lane of structural biology

crossmark logo

aMRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, United Kingdom, and bDepartment of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom
*Correspondence e-mail: [email protected], [email protected]

This article is part of the special issue CryoEM in the Fast Lane of Structural Biology.

It is nearly seventy years since the first of the three-dimensional structures of two haem-containing proteins, myoglobin and haemoglobin, appeared (Kendrew et al., 1958View full citation, 1960View full citation; Perutz et al., 1960View full citation), launching the field of structural biology and transforming the approach to understanding biological systems and mechanism. These structures were determined by X-ray crystallography using a rotating-anode source, some 20 years before the emergence of the first dedicated storage-ring-based crystallographic facilities. The high intensity and brilliance of X-ray beams from synchrotron sources together with community-based software efforts, e.g. CCP4 (Agirre et al., 2023View full citation) and Phenix (Liebschner et al., 2019View full citation), transformed X-ray crystallography to become a mainstream endeavour engaging the wider scientific community rather than the restricted pursuit of a few specialists in dedicated crystallographic laboratories. This democratization of crystallographic techniques brought major successes and scientific breakthroughs (for a review, see the front cover of the January 2025 issue of the Journal of Synchrotron Radiation and Hasnain, 2025View full citation).

It took 50 years from the first crystallographic structures of proteins for single-particle cryoEM (Kühlbrandt, 2014View full citation; Liao et al., 2013View full citation) to move from `Blobology' to high-resolution structures of macromolecules and large multiprotein complexes, fulfilling many of the theoretical predictions made in 1995 (Henderson, 1995View full citation) by overcoming some of the key barriers, including the development of direct electron detectors (McMullan et al., 2014View full citation) and improved computer programs for single-particle image analysis. Fundamental breakthroughs came from the development of a plunge-freezing method for preparing thin films of amorphous ice on electron microscope grids together with the introduction of a vacuum specimen environment in the electron microscope, resulting in high-quality images of biological structures from ferritin to adenovirus (Dubochet et al., 1982View full citation, 1984View full citation, 1988View full citation). These developments have revolutionized cryoEM as a mainstream structural biology tool (Henderson, 2018View full citation; Frank, 2018View full citation; Dubochet, 2018View full citation), prompting the International Union of Crystallography to launch a dedicated section on cryoEM in its premier journal IUCrJ (Subramaniam et al., 2016View full citation) and to devote a dedicated session entitled `Method of the Decade – CryoEM' at its 26th Congress and General Assembly in Hyderabad in 2017 (Hasnain, 2016View full citation).

We celebrate the start of the second decade of the `resolution revolution' and the 10th anniversary of the dedicated cryoEM section in IUCrJ by bringing together some of the leading figures and broader community in the special issue at https://journals.iucr.org/special_issues/2026/cryoem/ to provide an overview of the field and a forward look at how the resolution revolution is continuing, with cryoEM not only reaching parity with crystallography but being now in the `fast lane of structural biology'. This is clearly demonstrated for membrane proteins (Table 1[link]), where the number of structures determined by single-particle cryoEM now significantly exceeds that determined by X-ray crystallography. It is also evident from this table that more than 350 of these structures have been determined to high resolution (2 to 2.5 Å). Owing to the rapidly growing impact of cryoEM, we are beginning to catch up on the coverage of structures of membrane proteins, which has so far significantly lagged behind the structural coverage of soluble proteins. The number of membrane-protein structures has more than doubled in the last five-year period (2020–2024) compared with the previous five years, with a 50% increase in the number of structures in the high-resolution window of 2 to 2.5 Å.

Table 1
Numbers of structures of membrane proteins in the PDB (April 2026)

    Resolution
Period No. of structures 2–2.5 Å 2.5–3.0 Å 3.0–3.5 Å
1975–1984 2 0 0 1
1985–1989 4 1 1 0
1990–1994 58 10 6 7
1995–1999 244 60 43 29
2000–2004 571 139 116 51
2005–2009 1034 236 190 148
2010–2014 1729 293 386 368
2015–2019 2983 412 595 627
2020–2024 7679 646 1941 2694
2025–4/2026 1258 78 355 506
         
cryoEM 8386 363 1979 3160
X-ray 6170 1508 1647 1254

The higher resolution is often important for understanding many biological mechanisms. In metalloenzymes, where the stereochemistry around metals and metal clusters is often critical for the mechanism, atomic resolution structures are highly desirable, where `atomic resolution' is defined as that at which carbon–carbon bonds are resolved and is typically <1.2 Å. We have nice examples emerging of high-resolution cryoEM structures (1.7–1.9 Å) of three monofunctional catalase enzymes in our laboratory (Slowik & Henderson, unpublished). There are now a few cryoEM structures at atomic resolution (<1.2 Å), although all of them are of apoferritin (Yip et al., 2020View full citation; Maki-Yonekura et al., 2023View full citation; Küçükoğlu et al., 2024View full citation; Nakane et al., 2020View full citation) (Table 2[link]). In the next resolution shell (1.2–1.4 Å), we have eight cryoEM structures, but only two of them are not apoferritin structures – DPS (DNA protection during starvation protein) (Montemayor et al., 2025View full citation) and rubisco (Croy et al., 2025View full citation). We can expect many more atomic resolution cryoEM structures in the coming decade, particularly with improvements in 100–200 keV microscopes, improved detectors, further reduction in beam-induced specimen movement, reproducible grid preparations and improvement in analysis software packages that harness the benefits of AI (Vinothkumar & Henderson, 2016View full citation; Cheng, 2018View full citation). Despite these advances and the potential they offer for studying smaller and smaller particles, we still anticipate the trend to be weighted towards larger assemblies.[link]

Table 2
Numbers of structures in different resolution ranges in the PDB that have been determined by X-ray crystallography and cryoEM

Resolution X-ray cryoEM
1.0–1.2 Å 5266 3
1.2–1.4 Å 8819 8
1.4–1.6 Å 18222 13
1.6–1.8 Å 25806 50
1.8–2 Å 34117 179
2.0–2.2 Å 29158 448
2.2–2.4 Å 23129 855
2.4–2.6 Å 18190 1499
2.6–2.8 Å 13537 2531
2.8–3.0 Å 10683 3816
3.0–3.2 Å 6695 4550
3.2–3.4 Å 3836 4492
3.4–3.6 Å 2123 3651
†All of the cryoEM structures apart from two in the 1–1.2 Å and 1.2–1.4 Å resolution ranges are those of ferritin.
[Figure 1]
Figure 1
(A) Distribution of structures in the PDB with resolution, with X-ray structures dominating the high-resolution window of 1.8–2.0 Å while cryoEM exhibits a maximum number of structures in the 3.0–3.2 Å resolution window (B), see also Table 2[link].

CryoEM has also been transforming the structural biology landscape of multiprotein complexes, including mammalian mitochondrial super-complex CIII2CIV (Vercellino & Sazanov, 2021View full citation) and mammalian respiratory super-complex I1III2IV1 (Wu et al., 2016View full citation; Nakano et al., 2026View full citation). The prowess of cryoEM for larger assemblies is clearly demonstrated by Fig. 2[link], where nearly 50% of the cryoEM structures are >280 kDa structures. In contrast, 70% of the X-ray structures are <80 kDa structures.

[Figure 2]
Figure 2
Illustrative representation of the structures by molecular weight.

The papers presented in the special issue at https://journals.iucr.org/special_issues/2026/cryoem/ show glimpses of the developments that are on the horizon, including improved computational approaches that disentangle diverse conformations (Noone & Bubeck, 2026View full citation); the use of a cold field emission gun in a 200 keV microscope, a high-resolution objective lens polepiece and an energy filter to provide 1.24 Å resolution structures (Danev et al., 2026View full citation); a method for generating regularized reprojections directly from the noisy particles that does not rely on explicit 3D density reconstruction (Van et al., 2026View full citation); and improved processing of movies (Burton-Smith et al., 2026View full citation). There are several papers that cover a wide range of applications and systems, including drug discovery (Wang et al., 2026View full citation).

Before concluding, we would like to reiterate discussion of use of the term cryoEM. When cryogenic sample stages were introduced into electron microscopes by the biological community, the term `cryo' was added to the abbreviation EM and it has been universally adopted to stand for cryo electron microscopy or electron cryo microscopy. As we have pointed out in this journal before, neither the electrons nor the microscopes are cryogenically cooled (Henderson & Hasnain, 2023View full citation). Perhaps in the coming decade cryoEM will more accurately be taken as meaning cryogenic-sample Electron Microscopy.

References

Return to citationAgirre, J., Atanasova, M., Bagdonas, H., Ballard, C. B., Baslé, A., Beilsten-Edmands, J., Borges, R. J., Brown, D. G., Burgos-Mármol, J. J., Berrisford, J. M., Bond, P. S., Caballero, I., Catapano, L., Chojnowski, G., Cook, A. G., Cowtan, K. D., Croll, T. I., Debreczeni, J. É., Devenish, N. E., Dodson, E. J., Drevon, T. R., Emsley, P., Evans, G., Evans, P. R., Fando, M., Foadi, J., Fuentes-Montero, L., Garman, E. F., Gerstel, M., Gildea, R. J., Hatti, K., Hekkelman, M. L., Heuser, P., Hoh, S. W., Hough, M. A., Jenkins, H. T., Jiménez, E., Joosten, R. P., Keegan, R. M., Keep, N., Krissinel, E. B., Kolenko, P., Kovalevskiy, O., Lamzin, V. S., Lawson, D. M., Lebedev, A. A., Leslie, A. G. W., Lohkamp, B., Long, F., Malý, M., McCoy, A. J., McNicholas, S. J., Medina, A., Millán, C., Murray, J. W., Murshudov, G. N., Nicholls, R. A., Noble, M. E. M., Oeffner, R., Pannu, N. S., Parkhurst, J. M., Pearce, N., Pereira, J., Perrakis, A., Powell, H. R., Read, R. J., Rigden, D. J., Rochira, W., Sammito, M., Sánchez Rodríguez, F., Sheldrick, G. M., Shelley, K. L., Simkovic, F., Simpkin, A. J., Skubak, P., Sobolev, E., Steiner, R. A., Stevenson, K., Tews, I., Thomas, J. M. H., Thorn, A., Valls, J. T., Uski, V., Usón, I., Vagin, A., Velankar, S., Vollmar, M., Walden, H., Waterman, D., Wilson, K. S., Winn, M. D., Winter, G., Wojdyr, M. & Yamashita, K. (2023). Acta Cryst. D79, 449–461.  Web of Science CrossRef IUCr Journals Google Scholar
Return to citationBurton-Smith, R. N. & Murata, K. (2026). IUCrJ. In the press. https://doi.org/10.1107/S2052252526005348Google Scholar
Return to citationCheng, Y. (2018). Science 361, 876–880.  CrossRef PubMed Google Scholar
Return to citationCroy, N., Gaullier, G., Saura, P., Masiulis, S., Bhowmick, A., Kern, J., Raschdorf, O., Andersson, I., Kaila, V. R. I., Blikstad, C. & Messinger, J. (2025). bioRxiv, 2025.12.22.696010.  Google Scholar
Return to citationDanev, R., Yanagisawa, H., Yamashita, K., Eisenstein, F. & Kikkawa, M. (2026). IUCrJ, 13, 343–353.  Web of Science CrossRef PubMed IUCr Journals Google Scholar
Return to citationDubochet, J. (2018). Angew. Chem. Int. Ed. 57, 10842–10846.  CrossRef Google Scholar
Return to citationDubochet, J., Adrian, M., Chang, J. J., Homo, J. C., Lepault, J., McDowall, A. W. & Schultz, P. (1988). Q. Rev. Biophys. 21, 129–228.  CrossRef CAS PubMed Web of Science Google Scholar
Return to citationDubochet, J., Alba, C. M., MacFarlane, D. R., Angell, C. A., Kadiyala, R. K., Adrian, M. & Teixeira, J. (1984). J. Phys. Chem. 88, 6727–6732.  CrossRef Google Scholar
Return to citationDubochet, J., Lepault, J., Freeman, R., Berriman, J. A. & Homo, J. C. (1982). J. Microsc. 128, 219–237.  CrossRef Web of Science Google Scholar
Return to citationFrank, J. (2018). Angew. Chem. Int. Ed. 57, 10826–10841.  CrossRef Google Scholar
Return to citationHasnain, S. (2016). IUCrJ 3, 389–390.   CrossRef PubMed IUCr Journals Google Scholar
Return to citationHasnain, S. S. (2025). J. Synchrotron Rad. 32, 1–9.  Web of Science CrossRef IUCr Journals Google Scholar
Return to citationHenderson, R. (1995). Q. Rev. Biophys. 28, 171–193.  CrossRef CAS PubMed Web of Science Google Scholar
Return to citationHenderson, R. (2018). Angew. Chem. Int. Ed. 57, 10804–10825.  Web of Science CrossRef CAS Google Scholar
Return to citationHenderson, R. & Hasnain, S. (2023). IUCrJ, 10, 519–520.  Web of Science CrossRef CAS PubMed IUCr Journals Google Scholar
Return to citationKendrew, J. C., Bodo, G., Dintzis, H. M., Parrish, R. G., Wyckoff, H. W. & Phillips, D. C. (1958). Nature 181, 662–666.  CrossRef PubMed Google Scholar
Return to citationKendrew, J. C., Dickerson, R. E., Strandberg, B. E., Hart, R. G., Davies, D. R., Phillips, D. C. & Shore, V. C. (1960). Nature 185, 422–427.  CrossRef PubMed Google Scholar
Return to citationKüçükoğlu, B., Mohammed, I., Guerrero-Ferreira, R. C., Ribet, S. M., Varnavides, G., Leidl, M. L., Lau, K., Nazarov, S., Myasnikov, A., Kube, M., Radecke, J., Sachse, C., Müller-Caspary, K., Ophus, C. & Stahlberg, H. (2024). Nat. Commun. 15, 8062.  Web of Science PubMed Google Scholar
Return to citationKühlbrandt, W. (2014). Science 343, 1443–1444.   Web of Science PubMed Google Scholar
Return to citationLiao, M., Cao, E., Julius, D. & Cheng, Y. (2013). Nature 504, 107–112.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationLiebschner, D., Afonine, P. V., Baker, M. L., Bunkóczi, G., Chen, V. B., Croll, T. I., Hintze, B., Hung, L.-W., Jain, S., McCoy, A. J., Moriarty, N. W., Oeffner, R. D., Poon, B. K., Prisant, M. G., Read, R. J., Richardson, J. S., Richardson, D. C., Sammito, M. D., Sobolev, O. V., Stockwell, D. H., Terwilliger, T. C., Urzhumtsev, A. G., Videau, L. L., Williams, C. J. & Adams, P. D. (2019). Acta Cryst. D75, 861–877.  Web of Science CrossRef IUCr Journals Google Scholar
Return to citationMaki-Yonekura, S., Kawakami, K., Takaba, K., Hamaguchi, T. & Yonekura, K. (2023). Commun. Chem. 6, 98.   Google Scholar
Return to citationMcMullan, G., Faruqi, A. R., Clare, D. & Henderson, R. (2014). Ultramicroscopy 147, 156–163.  CrossRef PubMed Google Scholar
Return to citationMontemayor, E. J., Sibert, B. S., Parrell, D., Yang, J. E., Larson, M. R., Gaines, M., Kumar, A., Maindola, P., Cai, K., Woods, M. & Wright, E. R. (2025). Structure of E. coli DNA protection during starvation protein (DPS) from single particle cryoEM. https://doi.org/10.2210/pdb9zc2/pdbGoogle Scholar
Return to citationNakane, T., Kotecha, A., Sente, A., McMullan, G., Masiulis, S., Brown, P. M. G. E., Grigoras, I. T., Malinauskaite, L., Malinauskas, T., Miehling, J., Uchański, T., Yu, L., Karia, D., Pechnikova, E. V., de Jong, E., Keizer, J., Bischoff, M., McCormack, J., Tiemeijer, P., Hardwick, S. W., Chirgadze, D. Y., Murshudov, G., Aricescu, A. R. & Scheres, S. H. W. (2020). Nature 587, 152–156.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationNakano, A., Masuya, T., Akisada, S., Ishikawa-Fukuda, M., Mitsuoka, K., Miyoshi, H., Murai, M. & Yokoyama, K. (2026). Nat. Commun. 17, 4075.   Google Scholar
Return to citationNoone, D. P. & Bubeck, D. (2026). IUCrJ, 13, 221–227.  Web of Science CrossRef PubMed IUCr Journals Google Scholar
Return to citationPerutz, M. F., Rossmann, M. G., Cullis, A. F., Muirhead, H., Will, G. & North, A. C. T. (1960). Nature 185, 416–422.  CrossRef PubMed Google Scholar
Return to citationSubramaniam, S., Kühlbrandt, W. & Henderson, R. (2016). IUCrJ 3, 3–7.   CrossRef PubMed IUCr Journals Google Scholar
Return to citationVan, C. T. S., Reboul, C. F., Caesar, J. J. E., Meana-Pañeda, R. & Elmlund, H. (2026). IUCrJ, 13, 354–363.  Web of Science CrossRef PubMed IUCr Journals Google Scholar
Return to citationVercellino, I. & Sazanov, L. A. (2021). Nature 598, 364–367.  CrossRef PubMed Google Scholar
Return to citationVinothkumar, K. R. & Henderson, R. (2016). Q. Rev. Biophys. 49, e13.  Web of Science CrossRef PubMed Google Scholar
Return to citationWang, Q., Cholak, S., Woollard, G., Subramaniam, S. & Dao Duc, K. (2026). IUCrJ, 13, 385–394.  Web of Science CrossRef PubMed IUCr Journals Google Scholar
Return to citationWu, M., Gu, J., Guo, R., Huang, Y. & Yang, M. (2016). Cell 167, 1598–1609.e10.  CrossRef PubMed Google Scholar
Return to citationYip, K. M., Fischer, N., Paknia, E., Chari, A. & Stark, H. (2020). Nature 587, 157–161.  Web of Science CrossRef CAS PubMed Google Scholar

This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.

ISSN: 2052-2525