Image-based Analysis of Biophysical Field Effects on Water Structure Under Corona Discharge Conditions

Abstract

This study uses advanced image analysis techniques to investigate the effects of biophysical fields on the structural characteristics of distilled water under corona discharge conditions. Corona discharge images of water drops were obtained using a patented device, and experimental and control samples were evaluated. The analytical approach comprehensively integrates brightness histograms, color mapping, and heat mapping to assess discharge morphology. Quantitative metrics such as mean intensity, edge density, and total discharge area were computed. The results show that water samples influenced by Anne Hübner and Tanja Aeckersberg exhibit significantly higher mean intensity and edge density values than controls, indicating enhanced energetic activity and more complex discharge structures. Branch length analysis further reveals extensive morphological branching, while normalized discharge area demonstrates a considerable spatial expansion. Heat mapping effectively visualizes the spatial distribution of high-intensity regions, supporting the interpretation of charge dynamics. The findings suggest that a biophysical influence can influence the internal electric fields and structural organization of water during corona discharge. This interdisciplinary approach offers novel insights into the interaction between biophysical fields and matter, and may contribute to the development of analytical technologies based on image-based biophysical markers.