scholarly journals An optical study of drug resistance detection in endometrial cancer cells by dynamic and quantitative phase imaging

2019 ◽  
Vol 12 (7) ◽  
Author(s):  
Tian Yao ◽  
Runyu Cao ◽  
Wen Xiao ◽  
Feng Pan ◽  
Xiaoping Li
Keyword(s):  
Drug Resistance ◽  
Endometrial Cancer ◽  
Cancer Cells ◽  
Phase Imaging ◽  
Optical Study ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase ◽  
Resistance Detection

scholarly journals Quantitative scoring of epithelial and mesenchymal qualities of cancer cells using machine learning and quantitative phase imaging

2020 ◽  
Vol 25 (02) ◽  
pp. 1 ◽  
Author(s):  
Van K. Lam ◽  
Thanh C. Nguyen ◽  
Vy Bui ◽  
Byung Min Chung ◽  
Lin-Ching Chang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cancer Cells ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase ◽  
Quantitative Scoring

scholarly journals Author Correction: Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yanfen Li ◽  
Michael J. Fanous ◽  
Kristopher A. Kilian ◽  
Gabriel Popescu
Keyword(s):  
Cancer Cells ◽  
Phase Imaging ◽  
Matrix Stiffness ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase ◽  
Dependent Growth ◽  
And Migration

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

scholarly journals Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yanfen Li ◽  
Michael J. Fanous ◽  
Kristopher A. Kilian ◽  
Gabriel Popescu
Keyword(s):  
Cancer Cells ◽  
Metastatic Potential ◽  
Melanoma Cells ◽  
Interference Microscopy ◽  
Patient Specific ◽  
Phase Imaging ◽  
Matrix Stiffness ◽  
Quantitative Phase Imaging ◽  
Complex Signals ◽  
Quantitative Phase

Abstract Cancer progression involves complex signals within the tumor microenvironment that orchestrate proliferation and invasive processes. The mechanical properties of the extracellular matrix (ECM) within this microenvironment has been demonstrated to influence growth and the migratory phenotype that precedes invasion. Here we present the integration of a label-free quantitative phase imaging technique, spatial light interference microscopy (SLIM)—with protein-conjugated hydrogel substrates—to explore how the stiffness of the ECM influences melanoma cells of varying metastatic potential. Melanoma cells of high metastatic potential demonstrate increased growth and velocity characteristics relative to cells of low metastatic potential. Cell velocity in the highly metastatic population shows a relative stability at higher matrix stiffness suggesting adoption of migratory routines that are independent of mechanics to facilitate invasion. The use of SLIM and engineered substrates provides a new approach to characterize the invasive properties of live cells as a function of microenvironment parameters. This work provides fundamental insight into the relationship between growth, migration and metastatic potential, and provides a new tool for profiling cancer cells for clinical grading and development of patient-specific therapeutic regimens.

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