ArticleNpj imaging2026
Automated image analysis for intracellular ice detection in monolayers by freeze-substitution.
Article in Npj imaging, 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
Abstract
A major marker of cryoinjury is intracellular ice formation (IIF), and its prevention is a key design goal of a successful cryopreservation protocol. Visualization and automated image analysis of IIF will be helpful in gathering data for understanding the mechanisms of the freezing process. There is a need for high-quality frozen-cell images and a tool to quantify IIF for investigating the effects of various cryopreservation protocol parameters. Here, we report the development of a freeze-substitution-based method for light microscopy imaging of cryopreserved endothelial cell monolayers and an automated ice detection algorithm for high-throughput analysis of visible intracellular ice crystals in the nuclei of cells within the captured images. Our method detected ice crystals ≥1.10 ± 0.28 μm in the frozen-cell images and yielded comparable accuracy in ice detection to that achieved by manual counting. This study describes a tool for the identification and quantification of IIF visible under light microscopy.
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.