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Kaige Qu

Showing results (1-10 of 21) with videos related to

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Analytical Methods : Advancing Methods and Applications|March 10, 2026
AFM-derived cytoskeletal mechanics reveal ethanol-induced injury and vitamin C-mediated repair in SH-SY5Y cellsXingyue Wang, Baohua Jia, Zuobin Wang, et al.
Nanomedicine : Nanotechnology, Biology, and Medicine|July 2, 2025
Measurement of cell electrical signal by dual-probe atomic force microscopyXingyue Wang, Kaige Qu, Rui Wang, et al.
Journal of the Mechanical Behavior of Biomedical Materials|February 12, 2022
Insights into cell classification based on combination of multiple cellular mechanical phenotypes by using machine learning algorithmYanling Tian, Wangjiang Lin, Kaige Qu, et al.
Sensors (Basel, Switzerland)|July 12, 2025
Research on Total Internal Reflection Detection Technology for Subsurface Defects of Optical Elements Based on Spectral Confocal PrinciplesRongcai Bao, Kaige Qu, Lu Wu, et al.
Acta Biomaterialia|March 25, 2023
Corrigendum to 'Atomic force microscopy-based assessment of multimechanical cellular properties for classification of graded bladder cancer cells and cancer early diagnosis using machine learning analysis' Acta Biomaterialia 2023, 158, 358‒373Xinyao Zhu, Rui Qin, Kaige Qu, et al.
Chemistry & Biodiversity|May 11, 2023
Study on Calceolarioside A Anti-Aβ<sub>25-35</sub> -Induced Damage in SH-SY5Y cells by Atomic Force MicroscopyYujuan Chen, Kaige Qu, Ying Wang, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|October 10, 2025
Membrane Potential Dynamics in Response to Pulsed Electric Fields: A Nanoscale Electrophysiological StudyXingyue Wang, Jianjun Dong, Zuobin Wang, et al.
Acta Biomaterialia|December 29, 2022
Atomic force microscopy-based assessment of multimechanical cellular properties for classification of graded bladder cancer cells and cancer early diagnosis using machine learning analysisXinyao Zhu, Rui Qin, Kaige Qu, et al.
The Review of Scientific Instruments|March 19, 2025
A contact probe based on multi-focus spectral confocal method for in-site measurement of form and position errors of complex surface workpiecesBing Yu, Qiang Ru, Anyu Sun, et al.
Analytical Methods : Advancing Methods and Applications|March 5, 2021
Study of NSCLC cell migration promoted by NSCLC-derived extracellular vesicle using atomic force microscopyShuwei Wang, Jiajia Wang, Tuoyu Ju, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Analytical Methods : Advancing Methods and Applications|March 10, 2026
AFM-derived cytoskeletal mechanics reveal ethanol-induced injury and vitamin C-mediated repair in SH-SY5Y cellsXingyue Wang, Baohua Jia, Zuobin Wang, et al.
Nanomedicine : Nanotechnology, Biology, and Medicine|July 2, 2025
Measurement of cell electrical signal by dual-probe atomic force microscopyXingyue Wang, Kaige Qu, Rui Wang, et al.
Journal of the Mechanical Behavior of Biomedical Materials|February 12, 2022
Insights into cell classification based on combination of multiple cellular mechanical phenotypes by using machine learning algorithmYanling Tian, Wangjiang Lin, Kaige Qu, et al.
Sensors (Basel, Switzerland)|July 12, 2025
Research on Total Internal Reflection Detection Technology for Subsurface Defects of Optical Elements Based on Spectral Confocal PrinciplesRongcai Bao, Kaige Qu, Lu Wu, et al.
Acta Biomaterialia|March 25, 2023
Corrigendum to 'Atomic force microscopy-based assessment of multimechanical cellular properties for classification of graded bladder cancer cells and cancer early diagnosis using machine learning analysis' Acta Biomaterialia 2023, 158, 358‒373Xinyao Zhu, Rui Qin, Kaige Qu, et al.
Chemistry & Biodiversity|May 11, 2023
Study on Calceolarioside A Anti-Aβ<sub>25-35</sub> -Induced Damage in SH-SY5Y cells by Atomic Force MicroscopyYujuan Chen, Kaige Qu, Ying Wang, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|October 10, 2025
Membrane Potential Dynamics in Response to Pulsed Electric Fields: A Nanoscale Electrophysiological StudyXingyue Wang, Jianjun Dong, Zuobin Wang, et al.
Acta Biomaterialia|December 29, 2022
Atomic force microscopy-based assessment of multimechanical cellular properties for classification of graded bladder cancer cells and cancer early diagnosis using machine learning analysisXinyao Zhu, Rui Qin, Kaige Qu, et al.
The Review of Scientific Instruments|March 19, 2025
A contact probe based on multi-focus spectral confocal method for in-site measurement of form and position errors of complex surface workpiecesBing Yu, Qiang Ru, Anyu Sun, et al.
Analytical Methods : Advancing Methods and Applications|March 5, 2021
Study of NSCLC cell migration promoted by NSCLC-derived extracellular vesicle using atomic force microscopyShuwei Wang, Jiajia Wang, Tuoyu Ju, et al.
Pageof 3