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In the past decade, advances in imaging technology have enabled scientists to investigate large-scale intracellular and intercellular interactions in various pathological or physiological states. Deep learning has become a mainstay in contemporary image analysis due to its key advantages in both efficiency and performance, and various intelligent methods have been proposed for different biological applications and imaging modalities to solve complex problems.