Weimiao Yu

Bioinformatics Institute, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research

Papers

Total Citations

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About

Weimiao Yu is a leading researcher in biomedical image analysis, with a primary focus on computational neuroscience and high-content screening. His work bridges advanced image segmentation and quantitative analysis of neuronal morphology, enabling automated, high-throughput studies of neurite outgrowth critical for understanding neuroregeneration. Yu’s most cited paper (2008, 69 citations) introduced a novel segmentation method that leverages topological dependence to accurately measure neurite outgrowth from thousands of fluorescent microscopy images—a breakthrough for robotic screening in drug discovery and neurobiology. This contribution directly addresses the challenge of extracting meaningful biological data from complex, high-dimensional cellular images. He further advanced the field with discriminative segmentation techniques for microscopic cellular images (2011, 15 citations) and explored geometric global image features using region graph spectra (2009, 3 citations). Yu’s work has been instrumental in integrating imaging informatics with high-content screening, providing robust tools for researchers studying neuronal development and repair. His methods remain foundational for automated analysis in regenerative medicine, making him a key figure in computational cell biology.