Advancing methods for the analysis of glioblastoma cell motion using quantitative time lapse holographic imaging and cellular tomography

Authors: E. Luther et al.

Journal: SPIE BiOS (2019)

Institution: Northeastern University

Research Areas: Cancer research

Cell Lines: Glioblastoma U87 (Brain cancer cells)

Summary: Glioblastomas are aggressive brain cancer and patients are given poor survival prognosis. As the cells form long-term cellular associations, understanding their motility is challenging. E. Luther et al. have used quantitative time lapse holography imaging and cellular tomography to study cell motility, cell-cell interactions and cell network forming. Authors have used HoloMonitor M4 to analyze overall cell population movement by creating 4D images. First, separating X and Y information, then adding Z as time, and finally, cell thickness (or voxel brightness) as a fourth dimension. The latter one was used to study cell proliferation and differentiate between the phases of the cell cycle, along with the separation of mitotic cells from interphase cells. Additionally, E. Luther with colleagues have used a wound healing assay to test two drug capability to immobilize cells.

Keywords: HoloMonitor M4, Cell movement, Holography, Tomography, Refractive index, Visualization, Motion analysis

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