Aydogan Özcan

Autonomous labeling of surgical resection margins using a foundation model

Abstract Assessing resection margins is central to pathological specimen evaluation and has profound implications for patient outcomes. Failure to achieve clear margins significantly increases the risk of local recurrence and may necessitate adjuvant therapies such as chemotherap...

Pixel super-resolved fluorescence lifetime imaging using deep neural networks

Abstract Fluorescence lifetime imaging microscopy (FLIM) is a powerful quantitative technique that provides metabolic and molecular contrast, offering strong translational potential for label-free, real-time diagnostics. However, its clinical adoption remains limited by long pixe...

Lying mirror using structured surfaces

Abstract We introduce an all-optical system, termed the “lying mirror”, to hide input information by transforming it into misleading, ordinary-looking patterns that effectively camouflage the underlying image data and deceive the observers. This misleading transformation is achie...