Juan Ren
Juan Ren
Associate Professor of Iowa State University
iastate.edu üzerinde doğrulanmış e-posta adresine sahip
Alıntı yapanlar
Alıntı yapanlar
An atomic force microscope study revealed two mechanisms in the effect of anticancer drugs on rate-dependent Young’s modulus of human prostate cancer cells
J Ren, H Huang, Y Liu, X Zheng, Q Zou
PloS one 10 (5), e0126107, 2015
High speed adaptive-multi-loop mode imaging atomic force microscopy
Q Zou, J Ren, J Liu
US Patent App. 10/041,970, 2018
Indentation quantification for in-liquid nanomechanical measurement of soft material using an atomic force microscope: Rate-dependent elastic modulus of live cells
J Ren, S Yu, N Gao, Q Zou
Physical Review E 88 (5), 052711, 2013
High-speed adaptive contact-mode atomic force microscopy imaging with near-minimum-force
J Ren, Q Zou
Review of Scientific Instruments 85 (7), 073706, 2014
A control-based approach to accurate nanoindentation quantification in broadband nanomechanical measurement using scanning probe microscope
J Ren, Q Zou
IEEE Transactions on Nanotechnology 13 (1), 46-54, 2013
Experimental analysis of the surface roughness evolution of etched glass for micro/nanofluidic devices
J Ren, B Ganapathysubramanian, S Sundararajan
Journal of Micromechanics and Microengineering 21 (2), 025012, 2011
Atomic force microscopy study revealed velocity-dependence and nonlinearity of nanoscale poroelasticity of eukaryotic cells
K Mollaeian, Y Liu, S Bi, J Ren
Journal of the Mechanical Behavior of Biomedical Materials 78 (2018), 65-73, 2018
Enhanced measurement of broadband nanomechanical property of polymers using atomic force microscope
J Ren, A Mousavi, X Li, Q Zou, N Erina, C Su
Applied Physics Letters 102 (18), 183116, 2013
Finite element modeling of living cells for AFM indentation-based biomechanical characterization
Y Liu, K Mollaeian, J Ren
Micron 116, 108-115, 2019
High-speed atomic force microscope imaging: Adaptive multiloop mode
J Ren, Q Zou, B Li, Z Lin
Physical Review E 90 (1), 012405, 2014
Nonlinear Cellular Mechanical Behavior Adaptation to Substrate Mechanics Identified by Atomic Force Microscope
K Mollaeian, Y Liu, S Bi, Y Wang, J Ren, M Lu
International Journal of Molecular Sciences 19 (11), 3461, 2018
High-speed AFM imaging via iterative learning-based model predictive control
S Xie, J Ren
Mechatronics 57, 86-94, 2019
Adaptive-scanning, Near-minimum-deformation Atomic Force Microscope Imaging of Soft Sample in Liquid: Live Mammalian Cell Example
J Ren, Q Zou
Ultramicroscopy 186, 150-157, 2018
Note: Precision control of nano-positioning stage: An iterative learning-based model predictive control approach
S Xie, J Ren
Review of Scientific Instruments 89 (7), 076103, 2018
Recurrent-neural-network-based Predictive Control of Piezo Actuators for Trajectory Tracking
S Xie, J Ren
IEEE/ASME Transactions on Mechatronics 24 (6), 2885-2896, 2019
Receptor‐mediated endocytosis generates nanomechanical force reflective of ligand identity and cellular property
X Zhang, J Ren, J Wang, S Li, Q Zou, N Gao
Journal of cellular physiology 233 (8), 5908-5919, 2018
Method and apparatus for nanomechanical measurement using an atomic force microscope
Q Zou, J Ren
US Patent 8,973,161, 2015
An Image Recognition-Based Approach to Actin Cytoskeleton Quantification
Y Liu, K Mollaeian, J Ren
Electronics 7 (12), 443, 2018
Study of cholesterol repletion effect on nanomechanical properties of human umbilical vein endothelial cell via rapid broadband atomic force microscopy
B Yan, J Ren, Y Liu, H Huang, X Zheng, Q Zou
Journal of biomechanical engineering 139 (3), 034501, 2017
Effect of F-actin and Microtubules on Cellular Mechanical Behavior Studied Using Atomic Force Microscope and an Image Recognition-Based Cytoskeleton Quantification Approach
Y Liu, K Mollaeian, MH Shamim, J Ren
International Journal of Molecular Sciences 21 (2), 392, 2020
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Makaleler 1–20