Site-specific cryo-focused ion beam sample preparation guided by 3D correlative microscopy
Open accessAbstract
The development of cryo-focused ion beam (cryo-FIB) for the thinning of frozen-hydrated biological specimens enabled cryo-electron tomography (cryo-ET) analysis in unperturbed cells and tissues. However, the volume represented within a typical FIB lamella constitutes a small fraction of the biological specimen. Retaining low-abundance and dynamic subcellular structures or macromolecular assemblies within such limited volumes requires precise targeting of the FIB milling process. In this study, we present the development of a cryo-stage allowing for spinning-disk confocal light microscopy at cryogenic temperatures and describe the incorporation of the new hardware into existing workflows for cellular sample preparation by cryo-FIB. Introduction of fiducial markers and subsequent computation of three-dimensional coordinate transformations provide correlation between light microscopy and scanning electron microscopy/FIB. The correlative approach is employed to guide the FIB milling process of vitrified cellular samples and to capture specific structures, namely fluorescently labeled lipid droplets, in lamellas that are 300 nm thick. The correlation procedure is then applied to localize the fluorescently labeled structures in the transmission electron microscopy image of the lamella. This approach can be employed to navigate the acquisition of cryo-ET data within FIB-lamellas at specific locations, unambiguously identified by fluorescence microscopy.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The FM-SEM localization errors are lower than previously reported SEM localization errors (SD of 225 nm in x and 341 nm in y).
“This is lower than previously reported SEM localization errors (SD of 225 nm in x and 341 nm in y), which were based on a workflow similar to our CorrSight workflow (Arnold et al., 2016).”
From StableMARK-decorated microtubules in cells have expanded lattices (2025) · cites this paper as Arnold et al., 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890 · see citing works
Flagged first, then by citations
Research works printed but not linked: 5
- Mahamid, J., and W. Baumeister. 2012. Cryo-electron tomography: the realization of a vision. Microsc. Microanal. 26:45-48. Biophysical Journal 110(4) 860-869
- Myronenko, A., and X. Song. 2009. On the closed-form solution of the rotation matrix arising in computer vision problems. Preprint, submit- ted April 9, 2009. http://arxiv.org/abs/0904.1613. · arXiv
- Umeyama, S. 1991. Least-squares estimation of transform parameters between two point patterns. IEEE Trans. Pattern Anal. Mach. Intell. 13:376-380.
- Rigort, A., F. J. Ba ¨uerlein, ., J. M. Plitzko. 2012. Focused ion beam micromachining of eukaryotic cells for cryoelectron tomography. Proc. Natl. Acad. Sci. USA. 109:4449-4454.
- Chang, Y. W., S. Chen, ., G. J. Jensen. 2014. Correlated cryogenic photoactivated localization microscopy and cryo-electron tomography. Nat. Methods. 11:737-739. Biophysical Journal 110(4) 860-869
Cited by
Sorted by citations
StableMARK-decorated microtubules in cells have expanded lattices
de Jager, L., Jansen, K. I., Hoogebeen, R., Akhmanova, A., Kapitein, L. C., Förster, F., & Howes, S. C. (2025) · Journal of Cell Biology · doi:10.1083/jcb.202206143 · Cited by 25 · see citing works
- Authors
- Arnold, J., Mahamid, J., Lucic, V., de Marco, A., Fernandez, J.-J., Laugks, T., Mayer, T., Hyman, A. A., Baumeister, W., & Plitzko, J. M.
- Affiliations
- Max Planck Institute of Biochemistry (DE)
- Max Planck Institute of Molecular Cell Biology and Genetics (DE)
- Corresponding author
- Mahamid, Julia
- Plitzko, Jürgen M.
- Venue
- Biophysical Journal
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 110
- Issue
- 4
- Pages
- 860-869
- ISSN
- 0006-3495 (ISSN-L)
- PMC
- PMC4775854
- OpenAlex
- W2235248450
- Cited by
- 221
- References
- 1
- Citations by year
- 2026: 25 · 2025: 27 · 2024: 18 · 2023: 23 · 2022: 13 · 2021: 25 · 2020: 19 · 2019: 27 · 2018: 16 · 2017: 18 · 2016: 10
- FWCI
- 11.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biophysical Journal (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Monash University Research Portal (Monash University) (submittedVersion, other-oa)
- Max Planck Institute for Plasma Physics (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Advanced Electron Microscopy Techniques and Applications
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Materials Characterization Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Keywords
- correlative microscopy, cryo-electron tomography, spinning disk confocal microscopy, fiducial markers, 3D coordinate transformation, lipid droplets
- MeSH terms
- HeLa Cells, Humans, Microscopy, Fluorescence, Imaging, Three-Dimensional, Electron Microscope Tomography, Fiducial Markers
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review