The increasing cancer incidence highlights the importance of timely diagnosis, where cancer screening plays a pivotal role. While conventional techniques like Western blot and immunohistochemistry aid detection, they are limited by optical diffraction, offering averaged expression data across cells. Super-resolution imaging has revolutionized cancer screening by enhancing resolution and revealing molecular-level assembly information. This breakthrough enables comprehensive analysis of potential cancer targets and personalized therapeutic options. This paper explores the application of super-resolution fluorescence imaging in cancer target identification, discusses mainstream techniques, and outlines future developments. These advancements promise deeper insights for cancer research and treatment, laying the groundwork for personalized medicine.
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HU Jun-da (2024) studied this question.
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