Paper
2 March 2020 Heterogeneity of mitochondria morphology in breast cancer cells
Ling Wang, Jamie Ward, Megan Bouyea, Margarida Barroso
Author Affiliations +
Proceedings Volume 11216, Multiscale Imaging and Spectroscopy; 112160P (2020) https://doi.org/10.1117/12.2546594
Event: SPIE BiOS, 2020, San Francisco, California, United States
Abstract
Cancer cell growth has been shown to affect receptor expression and organelle morphology. Therefore, differences in mitochondrial morphology and function in cancer cells are of key importance for the successful implementation of targeted drug therapy in the clinic. To improve our understanding of the heterogeneity of mitochondrial morphology in breast cancer cells, we have analyzed the morphology of mitochondria in a comparative manner across 2D-culture breast cancer cell systems. Moreover, we used machine learning methods to develop a classification method that can assign each 3D rendered mitochondrial object to their respective breast cancer cell type with good accuracy.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ling Wang, Jamie Ward, Megan Bouyea, and Margarida Barroso "Heterogeneity of mitochondria morphology in breast cancer cells", Proc. SPIE 11216, Multiscale Imaging and Spectroscopy, 112160P (2 March 2020); https://doi.org/10.1117/12.2546594
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KEYWORDS
Breast cancer

Cancer

Machine learning

3D image processing

MATLAB

Statistical analysis

Cell biology

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