Luis Escudero

Bioimage analysis is a cornerstone of modern life sciences, powering discoveries and insights derived from biological image data. Deep learning has become an invaluable tool for analyzing microscopy datasets, and its application is increasingly widespread in biomedical research1. However, its prerequisite for high-level programming skills has often acted as a barrier, limiting accessibility for researchers without a specific computational background2.