What does this research mean for the field?

Iris nevi exhibit a non-random angular organization as indicated by the Auric Index A, which measures their spatial distribution according to the golden angle. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To compare the spatial distribution of iris nevi and assess pathology markers through fractal analysis.

March 1, 2026Open Access

Iris Fractal & Nevi Analysis: Comparative Study of Pigment Architecture and Pathology Markers — Argira Station (v3)

Key Points

To compare the spatial distribution of iris nevi and assess pathology markers through fractal analysis.
Analyzed nevi distribution using the Auric Index to assess golden angle organization.
Conducted a Monte Carlo significance test for distribution validation.
Utilized Spearman correlation to explore the relationship between D fractal and golden proximity.
Provided quality checks with IrisAnalyzerV4.1, assessing sharpness, brightness, and contrast.
Subject A showed D_global=1.868 and D_nevi=1.572±0.115, while Subject B had D_global=1.836 and D_nevi=1.629±0.086.
Both subjects exhibited consistent Auric Index A≈0.84, suggesting non-random angular organization of nevi.
Validation is proposed for a larger cohort of 40-50 to confirm findings.

Abstract

Updated release v3. Adds Golden Angle Analysis (Auric Index A) connecting iris nevi spatial distribution to Vogel phyllotaxis model. SUBJECT A (brown iris, calibrated): 29 nevi. Dglobal=1. 868. Dₙevi=1. 572±0. 115. Auric Index A=0. 847. SUBJECT B/OL (green-hazel, sectorial heterochromia, calibrated): 23 nevi. Dglobal=1. 836. Dₙevi=1. 629±0. 086. Auric Index A=0. 840. NEW v3: Auric Index A measures golden angle organization of nevi angular distribution. Monte Carlo significance test. Spearman correlation D fractal vs golden proximity. Panels H1-H5 added. Both subjects show consistent A≈0. 84, suggesting non-random angular organization. Validation requires n=40-50 cohort. IrisAnalyzerV4. 1 quality check module added (sharpness, brightness, contrast gates for dataset scaling). Related preprint: https: //doi. org/10. 5281/zenodo. 18781344Phyllotaxis base: https: //doi. org/10. 5281/zenodo. 18760369Dataset v2: https: //doi. org/10. 5281/zenodo. 18799576

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Cite This Study

Jose Ranero García (Fri,) studied this question.

synapsesocial.com/papers/69a3d873ec16d51705d2f4ea https://doi.org/https://doi.org/10.5281/zenodo.18803498

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