Reconstruction of Cell Focal Adhesions using Physical Constraints and Compressive Regularization.

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Reconstruction of Cell Focal Adhesions using Physical Constraints and Compressive Regularization.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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Reconstruction of Cell Focal A ...... nd Compressive Regularization.

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Reconstruction of Cell Focal A ...... nd Compressive Regularization.

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Reconstruction of Cell Focal A ...... nd Compressive Regularization.

@en

Reconstruction of Cell Focal A ...... nd Compressive Regularization.

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Reconstruction of Cell Focal A ...... nd Compressive Regularization.

@en

Reconstruction of Cell Focal A ...... nd Compressive Regularization.

@nl

P1476

Reconstruction of Cell Focal A ...... nd Compressive Regularization.

@en

P2093

Joshua C Chang

http://www.w3.org/2001/XMLSchema#string

Tom Chou

http://www.w3.org/2001/XMLSchema#string

Yanli Liu

http://www.w3.org/2001/XMLSchema#string

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Modes of cancer cell invasion and the role of the microenvironment

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Force and focal adhesion assembly: a close relationship studied using elastic micropatterned substrates

Cells lying on a bed of microneedles: an approach to isolate mechanical force

High resolution traction force microscopy based on experimental and computational advances

Traction microscopy to identify force modulation in subresolution adhesions.

Bayesian Uncertainty Quantification for Bond Energies and Mobilities Using Path Integral Analysis.

CVXPY: A Python-Embedded Modeling Language for Convex Optimization.

Dissection of mechanical force in living cells by super-resolved traction force microscopy.

P304

2530-2539

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P31

scholarly article

P356

10.1016/J.BPJ.2017.09.021

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P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

113

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P577

2017-12-01T00:00:00Z

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P698

29212006

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P818

1709.04408

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P932

5738527

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