Evidence map›Paper›PMID 41882648›Full record

ArticleJournal of translational medicine2026

Ultra depth of field microscopy: a novel method for observing and characterizing of articular cartilage surface.

Guohao Zhang, Ningning Ma, Jihao Wen, Tao Zhang, Ruxing Liu, Mengyu Fu, Li Guo, Xiaochun Wei

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Guohao ZhangDepartment of Orthopedics, Shanxi Key Laboratory of Bone and Soft Tissue Injury Repair, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, PR China.
Ningning MaDepartment of Orthopedics, Shanxi Key Laboratory of Bone and Soft Tissue Injury Repair, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, PR China.
Jihao WenDepartment of Orthopedics, Shanxi Key Laboratory of Bone and Soft Tissue Injury Repair, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, PR China.
Tao ZhangDepartment of Orthopedics, Shanxi Key Laboratory of Bone and Soft Tissue Injury Repair, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, PR China.
Ruxing LiuDepartment of Orthopedics, Shanxi Key Laboratory of Bone and Soft Tissue Injury Repair, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, PR China.
Mengyu FuDepartment of Orthopedics, Shanxi Key Laboratory of Bone and Soft Tissue Injury Repair, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, PR China.
Li GuoDepartment of Orthopedics, Shanxi Key Laboratory of Bone and Soft Tissue Injury Repair, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, PR China. guol0918@126.com.
Xiaochun WeiDepartment of Orthopedics, Shanxi Key Laboratory of Bone and Soft Tissue Injury Repair, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, 030001, PR China. sdeygksys@163.com.ORCID 0000-0002-6175-4346

Funding

the Regional Innovation Joint Fund of the National Natural Science Foundation of China(Integration Project) U23A6009
6 · The paper itself

Abstract

backgroundThe surface microstructures of cartilage are closely related to its functions. Accurate observation of cartilage surface is key to researching cartilage-related diseases. Traditional observation methods have limitations: conventional optical microscopes have a narrow depth of field and cannot clearly image the uneven cartilage surface; other methods either have low resolution or damage the sample. Ultra depth of field microscopy(UDFM)is a new high-precision method for cartilage surface research. It can non-invasively show clear 3D microstructural details of the cartilage surface without damaging the sample. At present, its application in cartilage surface research is still in the exploration stage, and it is of great significance to use this new method for related research.

methodsFresh porcine knee joints and discarded cartilage tissue from human total knee arthroplasty were utilized to prepare a range of cartilage damage models and sectioned specimens. UDFM was employed to examine the cartilage surface, cross-sections, and lateral profiles at various magnifications (10–2000×), generating both two-dimensional and three-dimensional topographic images. The integrated UDFM software was used for qualitative assessment of surface morphology, cellular architecture, and damage characteristics, as well as for quantitative measurements of height differences, surface roughness, fissure length, and stained area.

resultsUDFM provides non-destructive and direct visualization of the authentic three-dimensional morphology and subtle surface damage of articular cartilage, with 3D topographic mapping precisely delineating the depth and extent of lesions. This technology enables continuous, high-resolution observation of the macroscopic appearance, surface microarchitecture, and cellular morphology of cartilage across a broad range of magnifications. In fresh specimens, it reliably reveals in situ paired or clustered chondrocytes. The OPt-SEM special lighting mode further enhances the detection sensitivity for subtle surface damage. UDFM delivers rapid and highly accurate quantitative measurements of surface height differences, roughness, fissure length, and stained area, all with excellent reproducibility. In comparison to conventional techniques, UDFM is straightforward to operate, eliminates the need for complex sample preparation, and preserves the native structure of cartilage, thereby effectively addressing the inherent limitations of stereomicroscopy and scanning electron microscopy.

conclusionUltra depth of field microscopy is an efficient, non-destructive, and precise tool for three-dimensional observation of cartilage surfaces, offering high resolution, large depth of field, convenient operation, and strong quantitative capabilities. This technology can comprehensively and authentically reflect the microstructure and damage characteristics of cartilage surfaces, providing a new technical approach and objective quantitative method for basic and clinical cartilage research, early disease diagnosis, and evaluation of repair efficacy, with broad application prospects.

Indexed as

Cartilage, ArticularMicroscopyAnimalsHumansImaging, Three-DimensionalSwineArticular cartilageSuperfical zone damage detectionThree-dimensional characterizationUltra depth of field microscopy

Identifiers

PMID41882648
PMCPMC13141283

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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.