mariocastro73/triangle-detection

This project is a classic 'code accompanying paper' repository. With only 2 stars and no updates in nearly six years, it serves as a static archival record of a specific scientific experiment rather than a living software tool. Its defensibility is near zero because the 'moat' consists entirely of the niche domain knowledge required to interpret DNA origami AFM images, rather than technical complexity. In a modern context, its image processing pipeline—likely based on traditional computer vision heuristics (Canny edges, Hough transforms, or basic contouring)—could be easily outperformed by zero-shot segmentation models like Meta's Segment Anything Model (SAM) or fine-tuned YOLO variants. While frontier labs have no interest in this niche, the project is highly displaceable by general-purpose bio-imaging suites like ImageJ/Fiji or modern deep learning frameworks. It offers value only as a reference for researchers attempting to replicate the specific results of the associated paper.