Quantitative micro-elastography for cell mechanobiology (Conference Presentation)

Matt Hepburn; Philip Wijesinghe; Luke Major; Lixin Chin; Nicholas Hugenberg; Dawei Song; Assad A. Oberai; Yu Suk Choi; Brendan F. Kennedy

doi:10.1117/12.2511486

4 March 2019 Quantitative micro-elastography for cell mechanobiology (Conference Presentation)

Matt Hepburn, Philip Wijesinghe, Luke Major, Lixin Chin, Nicholas Hugenberg, Dawei Song, Assad A. Oberai, Yu Suk Choi, Brendan F. Kennedy

Author Affiliations +

Proceedings Volume 10867, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII; 1086728 (2019) https://doi.org/10.1117/12.2511486
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Variations in the mechanical properties of the extracellular environment can alter important aspects of cell function such as proliferation, migration, differentiation and survival. However, many of the techniques available to study these effects lack the ability to characterise cell-to-cell and cell-to-environment interactions on the microscopic scale in three dimensions (3D). Quantitative micro-elastography (QME) is an extension of compression optical coherence elastography that utilizes a compliant layer with known mechanical properties to estimate the axial stress at the tissue surface, which combined with axial strain, is used to map the 3D microscale elasticity of tissue into an image. Despite being based on OCT, limitations in post-processing techniques used to determine axial strain prevented QME to quantify the elasticity of individual cells. In this study we extend the capability of QME to present, to the best of our knowledge, the first images of the elasticity of cells and their environment in 3D over millimeter field-of-views. We improve the accuracy and resolution of QME by incorporating an efficient, iterative solution to the inverse elasticity problem using adjoint elasticity equations to enable QME to visualize individual cells for the first time. We present images of human stem cells embedded in soft gelatin methacryloyl (GelMa) hydrogels and demonstrate these cells elevate the stiffness of the GelMa from 3-kPa to approximately 25-kPa. Our QME system is developed using commercially available components that can be readily made available to biologists, highlighting the potential for QME to emerge as an important tool in the field of mechanobiology.

Conference Presentation

Citation Download Citation

Matt Hepburn, Philip Wijesinghe, Luke Major, Lixin Chin, Nicholas Hugenberg, Dawei Song, Assad A. Oberai, Yu Suk Choi, and Brendan F. Kennedy "Quantitative micro-elastography for cell mechanobiology (Conference Presentation)", Proc. SPIE 10867, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII, 1086728 (4 March 2019); https://doi.org/10.1117/12.2511486

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

Tissue optics

3D image processing

Image compression

Coherence (optics)

Elastography

Natural surfaces

Optical coherence tomography

Show All Keywords

Keywords/Phrases

Search In:

Publication Years