Remote spatially variant debiased profiling of cell and tissue mechanical properties
Remote spatially variant debiased profiling of cell and tissue mechanical properties
复制标题
细胞和组织机械特性的远程空间变异去偏分析
DOI：
10.1101/2021.05.12.443111
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Mason J
中科院分区：
文献类型：
--
作者：
Mason J
机械环境在定义组织功能、发育和生长方面的作用已被证明是至关重要的。 Assessment of the changes in stiffness of tissue matrices at multiple scales has relied mostly on invasive and often specialist equipment such as AFM or mechanical testing devices poorly suited to the cell culture workflow.In this paper, we have developed a novel unbiased passive optical coherence elastography method, exploiting ambient vibrations in the sample that enables real-time noninvasive quantitative profiling of cells and tissues. We demonstrate a robust method that decouples optical scattering and mechanical properties by actively compensating for scattering associated noise bias and reducing variance. The efficiency for the method to retrieve ground truth is validated in silico and in vitro, and exemplified for key applications such as time course mechanical profiling of bone and cartilage spheroids, tissue engineering cancer models, tissue repair models and single cell. Our method is readily implementable with any commercial optical coherence tomography system without any hardware modifications, and thus offers a breakthrough in tissue mechanical assessment for novel on line assessment of spatial mechanical properties for organoids, soft tissues and tissue engineering.
The role of the mechanical environment in defining tissue function, development and growth has been shown to be fundamental. Assessment of the changes in stiffness of tissue matrices at multiple scales has relied mostly on invasive and often specialist equipment such as AFM or mechanical testing devices poorly suited to the cell culture workflow.In this paper, we have developed a novel unbiased passive optical coherence elastography method, exploiting ambient vibrations in the sample that enables real-time noninvasive quantitative profiling of cells and tissues. We demonstrate a robust method that decouples optical scattering and mechanical properties by actively compensating for scattering associated noise bias and reducing variance. The efficiency for the method to retrieve ground truth is validated in silico and in vitro, and exemplified for key applications such as time course mechanical profiling of bone and cartilage spheroids, tissue engineering cancer models, tissue repair models and single cell. Our method is readily implementable with any commercial optical coherence tomography system without any hardware modifications, and thus offers a breakthrough in tissue mechanical assessment for novel on line assessment of spatial mechanical properties for organoids, soft tissues and tissue engineering.
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影响因子：
16
作者：
Xu, Xian;Farach-Carson, Mary C.;Jia, Xinqiao
通讯作者：
Jia, Xinqiao
影响因子：
3.8
作者：
Chan, RC;Chau, AH;Bouma, BE
通讯作者：
Bouma, BE
影响因子：
4
作者：
Catheline, S.;Souchon, R.;Chapelon, J. -Y.
通讯作者：
Chapelon, J. -Y.
影响因子：
3.4
作者：
Kennedy BF;Koh SH;McLaughlin RA;Kennedy KM;Munro PR;Sampson DD
通讯作者：
Sampson DD
岩石特性
DOI：
10.1016/b978-0-12-822195-2.00022-x
发表时间：
2021
期刊：
Developments in Petroleum Science
影响因子：
--
作者：
E. Fjær;R. Holt;P. Horsrud;A. Raaen;R. Risnes
通讯作者：
R. Risnes