Image-based modeling of collagen changes in human ovarian cancer using multiphoton excited fabricated scaffolds

Paul J. Campagnola; Samuel Alkmin; Manish Patankar

doi:10.1117/12.2609884

7 March 2022 Image-based modeling of collagen changes in human ovarian cancer using multiphoton excited fabricated scaffolds

Paul J. Campagnola, Samuel Alkmin, Manish Patankar

Author Affiliations +

Proceedings Volume PC11965, Multiphoton Microscopy in the Biomedical Sciences XXII; PC119650M (2022) https://doi.org/10.1117/12.2609884
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

We investigated the role of collagen fiber morphology and matrix stiffness on cancer cell migration using multiphoton polymerized scaffolds based on Second-Harmonic Generation (SHG) images of ovarian tumors. We replicated the respective collagen fiber architectures and constructed models representing normal stroma, high-risk tissue, benign tumors, and high-grade tumors. The primary finding is that cell–matrix interactions such as motility, cell spreading, f-actin alignment, focal adhesion, and cadherin expression are mainly determined by the fiber morphology to a larger extent than the initial cell type. Moreover, increased matrix stiffness resulted in enhanced motility and cytoskeletal alignment, consistent with a durotactic mechanism.

Conference Presentation

Citation Download Citation

Paul J. Campagnola, Samuel Alkmin, and Manish Patankar "Image-based modeling of collagen changes in human ovarian cancer using multiphoton excited fabricated scaffolds", Proc. SPIE PC11965, Multiphoton Microscopy in the Biomedical Sciences XXII, PC119650M (7 March 2022); https://doi.org/10.1117/12.2609884

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