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Updated: Jul 14, 2025

Biophysical Assays to Probe the Mechanical Properties of the Interphase Cell Nucleus: Substrate Strain Application and Microneedle Manipulation

Biophysical Assays to Probe the Mechanical Properties of the Interphase Cell Nucleus: Substrate Strain Application and Microneedle Manipulation

Published on: September 14, 2011

Cell nucleus elastography with the adjoint-based inverse solver.

Yue Mei¹, Xuan Feng², Yun Jin²

¹State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116023, China; International Research Center for Computational Mechanics, Dalian University of Technology, Dalian 116023, China; Ningbo Institute of Dalian University of Technology, No. 26 Yucai Road, Jiangbei District, Ningbo 315016, China.

Computer Methods and Programs in Biomedicine

|October 6, 2023

Summary

This summary is machine-generated.

This study introduces an adjoint-based inverse solver to map nuclear mechanics, accurately identifying stiffness variations in cellular nuclei. The method shows promise for understanding mechanobiology and disease.

Keywords:

Cell mechanics Deformation microscopy Inverse problem Mechanogenetics Nonhomogeneous elastic distribution Nuclear elastography

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Area of Science:

Cellular mechanics
Biophysics
Quantitative biology

Background:

Nuclear mechanics are crucial for cellular function and disease, but are complex due to variable chromatin distribution.
Heterochromatin and euchromatin domains create spatially heterogeneous stiffness properties within the nucleus.

Purpose of the Study:

To develop and validate an adjoint-based inverse solver for identifying non-homogeneous elastic properties of the nucleus.
To assess the accuracy and limitations of the method using simulated and experimental data.

Main Methods:

An adjoint-based inverse solver was employed to determine the nucleus's non-homogeneous elastic property distribution.
Deformation fields from microscopic imaging of contracting cardiomyocytes served as input data.
The method's feasibility was tested with simulated data and applied to experimental cardiomyocyte nuclei.

Main Results:

Simulated data showed accurate identification of heterochromatin regions with <5% relative error.
Variations in Poisson's ratio (0.3-0.5) introduced <15% uncertainty in stiffness reconstruction.
Experimental results from cardiomyocyte nuclei correlated well with microscopy-based density maps.

Conclusions:

The proposed adjoint-based inverse solver demonstrates significant potential for nuclear elastography.
This technique offers valuable applications in the emerging fields of mechanobiology and mechanogenetics.