Quantitative Analysis of Biomolecular Films: Automated Detection and Characterization of Leaves and Spiral Structures

Biomolecular films, pivotal in various scientific and technological domains, harbor intricate patterns that necessitate accurate analysis. In this study, we introduce a systematic methodology for the automated detection and characterization of leaves and spiral structures within biomolecular films. The method encompasses a series of meticulously designed steps, including preprocessing via grayscale conversion, edge enhancement, denoising, and contrast adj ustment. Leveraging watershed segmentation, we adeptly isolate leaves within the films. The algorithm's capability to detect spiral cores is realized through the Hough Transform and Canny edge detection. Experimental results exhibit the method's efficacy, elucidating the process visually.