ArticleJournal of imaging informatics in medicine2025
The Application of ImageJ Software for Roughness Analysis of Dental Implants.
Article in Journal of imaging informatics in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Effect of two commercial energy drinks on enamel surface characteristics and orthodontic bracket shear bond strength: an in vitro study.BMC oral health · 2026Article
- Benchmarking of Decellularization Protocols for Small Intestinal Submucosa: Defining the Gold Standard for Functional Tissue Engineering.Materials (Basel, Switzerland) · 2026Article
- A Qualitative In Vitro SEM Study on the Protective Effects of a Self-Antibacterial Nano-Hydroxyapatite Toothpaste Against Acid-Induced Enamel Surface Erosion.International journal of molecular sciences · 2026Article
- The Effect of the ErMaterials (Basel, Switzerland) · 2026Article
- Encapsulation of progesterone in reishi mushroom composite for optimized hormone replacement and targeted anticancer therapy.RSC advances · 2025Article
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Authors and funding
5 authors.
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Abstract
ImageJ software is a versatile, open-source software for visualizing, processing, and analyzing images, which has contributed to its widespread adoption in the scientific community. A notable application of this software is its integration with scanning electron microscope images, where surface roughness can be quantified. This study aims to highlight the need for knowledge and standardization of the technique selected for analysis to ensure the viability of ImageJ software as a reliable alternative for evaluating the surface roughness of dental implants. Images obtained by scanning electron microscopy, depending on the plugin used or the researcher's standardization, yielded different surface roughness values, which were assessed via ImageJ. Thirty grade 4 titanium osseointegrated dental implants via all treated with similar surface treatment methods were studied. Two groups were formed for analysis via ImageJ: Group 1 assessed surface roughness using only the SurfCharJ plugin (n = 12), and Group 2 assessed surface roughness using both the roughness/waviness and SurfCharJ plugin (n = 18). The results showed that the use of different plugins can lead to different outcomes, potentially affecting the quality of the study. This study concluded that a standardized methodology is necessary to ensure consistency in results obtained via ImageJ.
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