ArticleJournal of Korean medical science2026
Revolutionizing Sectioned Images of the Visible Korean: Achieving From 0.05 mm to 0.03 mm Sized Pixel.
Article in Journal of Korean medical science, 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
2 authors.
Funding
Abstract
backgroundThe Visible Korean (VK) project aimed to overcome the limitations of traditional cadaver dissection by producing high-resolution sectioned images. This study compared a newly acquired 2024 dataset with a 2023 dataset to evaluate the feasibility of using sectioned images for clinical anatomical research.
methodsTwo female cadavers were frozen and serially milled at constant intervals. The sectioned surfaces were photographed using a digital single-lens reflex (DSLR) camera of 35 mm charge-coupled device (CCD) sensor for 2023 dataset and a DSLR of 44 mm medium-format CCD sensor for 2024 dataset.
resultsThe 2024 dataset had 2.78 times higher pixel density (pixel size, 0.03 mm × 0.03 mm) than the 2023 dataset (pixel size, 0.05 mm × 0.05 mm), enabling clearer visualization of fine structures such as brain nuclei, fasciculi, vessel walls, meninges, and facial retaining ligaments. Pathological findings including cardiomegaly, vascular rupture, atherosclerosis, and endometrial neoplasm were clearly identified. The consistent intervals allowed accurate tracing of structures across multiple planes. The accumulated datasets from twelve cadavers now allow statistically reliable anatomical interpretation.
conclusionSectioned images produced with modern DSLR technology can reproduce anatomical structures at a level comparable to cadaveric dissection. Their high resolution, color fidelity, and digital format allow repeated analysis without damage. These datasets are now suitable not only for education but also for clinical anatomy research, potentially contributing to a paradigm shift from traditional to digital dissection.
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.