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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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Diagnosis of lung cancer subtypes using rapid molecular test
New cancer subtyping system can improve treatment options without disrupting clinical workflow.Problem Lung cancer is the leading cause of cancer death, with over 100,000 people dying per year.1 As most tumors are inoperable by the time the cancer is detected, patients are increasingly being placed on tailored treatment regimens. Prescribing targeted...
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