Rapid detection of foodborne bacteria is critical for food safety and quality, yet traditional cultu
The diffusion model has gained significant attention due to its remarkable data generation ability i
Differential dynamic microscopy (DDM) typically relies on movies containing hundreds or thousands of
Limited medical imaging datasets challenge deep learning models by increasing risks of overfitting a
Traditional deep learning-based methods for classifying cellular features in microscopy images requi
The effect of replacing individual contributions to an empirical energy function are assessed for ha
Embedding-as-a-Service (EaaS) has emerged as a successful business pattern but faces significant cha
Generative AI (GenAI) tools have already started to transform software development practices. Despit
Automated cell segmentation in microscopy images is essential for biomedical research, yet conventio
Two-dimensional spectroscopy (2DS) offers significant advantages in terms of high temporal and frequ
