Imaging Data Science

Imaging Data Science is an interdisciplinary field that bridges the gap between advanced imaging techniques and cutting-edge data science methodologies. It focuses on the extraction, analysis, and interpretation of meaningful information from various imaging modalities, such as optical microscopy, X-rays, electron microscopy, among others.

By harnessing the power of machine learning, computational imaging, and artificial intelligence, imaging data science aims to revolutionize our understanding of complex biological, medical, and physical systems in both academic and industrial sectors.

At Transdisciplinary Imaging Data Engineering and Science Lab, TIDES-Lab, we focus on crafting innovative algorithms, computational models, and software tools that not only address immediate scientific inquiries but also foster advancements across diverse domains.

📷 Advanced Imaging Solutions

Tailored to overcome fundamental physical constraints of diverse imaging methods, our efforts center on elevating image quality, amplifying spatial-temporal resolution, and augmenting interpretability.

🚀 Accelerated Data Interpretation

We develop and apply advanced image analysis techniques to extract meaningful information from imaging data.

🤝 Aligned Interdisciplinary Approach

Recognizing the value of interdisciplinary research, our group emphasizes collaboration, bringing together experts from diverse fields to tackle complex scientific problems.