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Background <p>Standardized clinical photography is crucial for diagnosis, documentation, and research. However, existing protocols often rely on expensive equipment or operator skill, limiting adoption in resource-limited settings.</p> Methods <p>We developed a laser-level-assisted protocol for standardized facial photography using a smartphone. A total of 100 patients were photographed using both conventional and laser-level-assisted methods by two attending physicians. Three standard views were captured. Subjective image quality was evaluated using a modified 5-point Likert scale, and objective assessment was performed using ImageJ-based measurements. Statistical comparisons were conducted using linear mixed-effects models to account for within-subject clustering across methods, operators, and views.</p> Results <p>Mixed-effects models showed that laser-level-assisted photography required less acquisition time than conventional photography (estimated mean difference = −4.06 s, 95% CI −4.71 to −3.44; <i>P</i> &lt; 0.001) and achieved higher subjective scores (estimated mean difference = +0.64 points, 95% CI +0.60 to +0.68; <i>P</i> &lt; 0.001) and objective scores (estimated mean difference = +1.52 points, 95% CI +1.25 to +1.79; <i>P</i> &lt; 0.001). Inter-rater reliability for subjective scoring was excellent (ICC = 0.93). The laser-level-assisted workflow also showed minimal operator-related variation compared with conventional acquisition.</p> Conclusions <p>Laser-level-assisted smartphone photography provides a reproducible, cost-effective, and operator-independent approach for standardized facial medical imaging. This scalable method may facilitate clinical documentation, training, and mobile healthcare, particularly in resource-constrained settings.</p> Level of Evidence II <p>This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors <a href="http://www.springer.com/00266">www.springer.com/00266</a>.</p>

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Application of Laser Level in Standardized Facial Medical Photography

  • 期刊论文

  • 发表日期：

    2026年3月12日

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  • Wenbo Li,
  • Ziyi Qi,
  • Ya Gao,
  • Zhongxing Li,
  • Fenglian Wu

摘要

Background

Standardized clinical photography is crucial for diagnosis, documentation, and research. However, existing protocols often rely on expensive equipment or operator skill, limiting adoption in resource-limited settings.

Methods

We developed a laser-level-assisted protocol for standardized facial photography using a smartphone. A total of 100 patients were photographed using both conventional and laser-level-assisted methods by two attending physicians. Three standard views were captured. Subjective image quality was evaluated using a modified 5-point Likert scale, and objective assessment was performed using ImageJ-based measurements. Statistical comparisons were conducted using linear mixed-effects models to account for within-subject clustering across methods, operators, and views.

Results

Mixed-effects models showed that laser-level-assisted photography required less acquisition time than conventional photography (estimated mean difference = −4.06 s, 95% CI −4.71 to −3.44; P < 0.001) and achieved higher subjective scores (estimated mean difference = +0.64 points, 95% CI +0.60 to +0.68; P < 0.001) and objective scores (estimated mean difference = +1.52 points, 95% CI +1.25 to +1.79; P < 0.001). Inter-rater reliability for subjective scoring was excellent (ICC = 0.93). The laser-level-assisted workflow also showed minimal operator-related variation compared with conventional acquisition.

Conclusions

Laser-level-assisted smartphone photography provides a reproducible, cost-effective, and operator-independent approach for standardized facial medical imaging. This scalable method may facilitate clinical documentation, training, and mobile healthcare, particularly in resource-constrained settings.

Level of Evidence II

This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.