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Junjie Yao on Muck Rack

Junjie Yao

As seen in: Nature, Frontiers, MDPI, EurekAlert!, Royal Society of Chemistry, New Atlas, Cell Press, Physical Review B, Dove Medical Press, Texas Medical Center and
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Articles

Computer Science > Artificial Intelligence

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By Zhi-Qin John Xu, Junjie Yao, Zhiyu Li
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Revealing hidden tissue architecture with mid-infrared dichroism photoacoustic microscopy - Light: Science & Applications

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By Colton Thomas McGarraugh, Soon-Woo Cho, Junjie Yao
| Nature Verified
Abstract By combining mid-infrared excitation with polarization-resolved photoacoustics, Park et al. introduce a novel label-free approach to visualize both molecular composition and fiber alignment in engineered tissues. This dual-contrast framework, termed MIR-DS-PAM, offers a new path toward analytical, quantitative histopathology. Biological tissues rely on precise molecular alignment to sustain mechanical and physiological function.
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Research on motion control of a novel stroke rehabilitation robot based on the dual parallel washout algorithm

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By Junjie Yao, Zhongxu Li, Cuiping Wang, Junyu Wu, Yubin Liu, Deyu Cong, Huijuan Lou
| Frontiers
1 Introduction With the increasingly serious aging problem and the rising number of stroke patients, the number of rehabilitation hospitals and departments has been growing annually, accompanied by a surge in demand for rehabilitation services. Insufficient treatment resources, the low efficiency of traditional rehabilitation therapy, and advancements in rehabilitation medicine and technology are driving the emergence and continuous development of rehabilitation robots.
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