Ms. Rebecca Brodziski Profile

Rebecca Brodziski

at Univ of Wisconsin-Madison

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 13 March 2019 Presentation

Modeling cell-matrix interactions in ovarian cancer through image based 3D biomimetic scaffolds created by multiphoton excited fabrication (Conference Presentation)

Paul Campagnola, Samuel Alkmin, Rebecca Brodziski, Haleigh Simon, Manish Patankar

Proceedings Volume 10883, 108830Y (2019) https://doi.org/10.1117/12.2510094

KEYWORDS: 3D modeling, Tumor growth modeling, Ovarian cancer, 3D image processing, Biomimetics, Collagen, Cancer, Tumors, Diagnostics and therapeutics, Polymerization

Read Abstract +

A profound remodeling of the collagen in the extracellular matrix (ECM) occurs in human ovarian cancer but it unknown how this affects tumor growth, where this understanding could lead to better diagnostics and therapeutic approaches. Here, we investigate the role of these specific alterations in collagen morphology on cell function by using multiphoton excited (MPE) polymerization to fabricate 3D biomimetic models of the ovarian stroma based on Second Harmonic Generation images. This process is akin to 3D printing except is performed at much higher resolution (~0.5 microns) and with the proteins that comprise the native ECM. We use this technique to create collagen scaffolds with complex, 3D submicron morphology representing the morphology in normal stroma, high risk stroma, benign tumors, and high grade cancer ovarian tissues. The models are seeded with different cancer cell lines and this allows decoupling of the roles of cell characteristics (metastatic potential) and ECM structure and composition (normal vs cancer) on migration dynamics. We found the malignant stromal structure promoted enhanced motility, and also cell and cytoskeletal alignment with respect to fibers. Conversely, normal and cancer cells on the normal stroma had the weakest response to the matrix morphology. While collagen alignment is known to affect cell dynamics, we further found small changes in the collagen fiber morphology (e.g. periodicity) had large effects on the resulting migration dynamics. These models cannot be synthesized by other conventional fabrication methods and we suggest the MPE image-based fabrication method will enable a variety of studies in cancer biology.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years