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Deep learning for rapid and robust fluorescence lifetime imaging
Deep-learning approach has the potential to unlock fluorescent lifetime imaging for clinical applications. Fluorescence lifetime imaging microscopy (FLIM) is a widely used tool for biomedical imaging that offers many unique advantages over typical intensity-based fluorescence microscopy. FLIM is advancing fundamental biological research by enabling...
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New MRI acquisition and post-processing technique for improved breast cancer diagnosis
New computational imaging platform can improve patient-specific characterization of breast cancerProblemClinicians rely on imaging to direct the path of treatment for breast cancer. The current standards for vascular imaging, MRI and CT, can miss valuable information. Fortunately, there has been a wave of technical progress with digital health technologies....
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