ArticleMolecules and cells2026
A cryo-CLEM-guided workflow for quantitative assessment and optimization of cryo-ET specimen quality.
Article in Molecules and cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cryo-correlative light and electron microscopy (cryo-CLEM) is an essential technique for precisely targeting regions of interest in vitrified biological specimens for in situ cellular cryo-electron tomography (cryo-ET). Despite its widespread use, the potential of cryo-CLEM remains underexploited because its imaging performance under cryogenic conditions has not been characterized. We evaluated the imaging capabilities of 2 commercially available cryo-CLEM systems-a stand-alone Leica EM cryo-CLEM microscope and the integrated Thermo Fisher Scientific iFLM coupled to a cryo-focused ion beam platform-by quantifying their spatial resolution and signal-to-noise ratio using vitrified cellular specimens expressing green fluorescent protein (GFP)-labeled proteins. The EM cryo-CLEM setup provided a higher signal-to-noise ratio and faster acquisition via tile imaging, whereas the iFLM offered a wider field of view, revealing complementary strengths between the 2 instruments. Furthermore, we established a quantitative correlation between fluorescence intensity and lamella thickness, demonstrating that cryo-CLEM imaging can serve as a practical indicator of lamella quality during early specimen preparation, before cryo-ET data collection. Collectively, our results show that cryo-CLEM not only facilitates precise targeting but also provides quantitative feedback for optimizing lamella quality, thereby streamlining the overall cryo-ET workflow.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.