Fine-Grained Urban Flow Prediction via a Spatio-Temporal Super-Resolution Scheme

Author(s):  
Rujia Shen ◽  
Jian Xu ◽  
Qing Bao ◽  
Wei Li ◽  
Hao Yuan ◽  
...  
Author(s):  
Yuxuan Liang ◽  
Kun Ouyang ◽  
Junkai Sun ◽  
Yiwei Wang ◽  
Junbo Zhang ◽  
...  

Author(s):  
Kojiro Matsushita ◽  
Toyotaro Tokimoto ◽  
Kengo Fujii ◽  
Hirotsugu Yamamoto

Author(s):  
Shen Fang ◽  
Veronique Prinet ◽  
Jianlong Chang ◽  
Michael Werman ◽  
Chunxia Zhang ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Liliana Barbieri ◽  
Huw Colin-York ◽  
Kseniya Korobchevskaya ◽  
Di Li ◽  
Deanna L. Wolfson ◽  
...  

AbstractQuantifying small, rapidly evolving forces generated by cells is a major challenge for the understanding of biomechanics and mechanobiology in health and disease. Traction force microscopy remains one of the most broadly applied force probing technologies but typically restricts itself to slow events over seconds and micron-scale displacements. Here, we improve >2-fold spatially and >10-fold temporally the resolution of planar cellular force probing compared to its related conventional modalities by combining fast two-dimensional total internal reflection fluorescence super-resolution structured illumination microscopy and traction force microscopy. This live-cell 2D TIRF-SIM-TFM methodology offers a combination of spatio-temporal resolution enhancement relevant to forces on the nano- and sub-second scales, opening up new aspects of mechanobiology to analysis.


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