Poster + Paper
12 March 2024 Tracking cellular and subcellular dynamics with quantitative oblique back-illumination microscopy
Caroline E. Filan, Srinidhi Bharadwaj, Paloma Casteleiro Costa, Amin Davarzani, Dan Cappabianca, Anna Tommasi, Lauren Sarko, Nina La Vonne Denne, Leidong Mao, Krishanu Saha, Lohitash Karumbaiah, Francisco E. Robles
Author Affiliations +
Proceedings Volume 12852, Quantitative Phase Imaging X; 128520D (2024) https://doi.org/10.1117/12.3000091
Event: SPIE BiOS, 2024, San Francisco, California, United States
Conference Poster
Abstract
Quantitative oblique back-illumination microscopy (qOBM) is a label-free imaging technique that enables tomographic phase imaging of thick scattering samples with epi-illumination. Here, we propose the use of two forms of functional imaging with qOBM to study tissue and cell cultures. In doing so, we obtain the spatiotemporal and quantitative functional information associated with the phase values extrapolated from qOBM imaging. We have applied this process to study the efficacy of individual immune T cells to kill glioblastoma spheroid cultures in 3D spheroids. Data show that we can effectively distinguish between cell phenotypes and characterize the dynamic motion of these cells in 3D cultures. This work offers a distinct advantage in tracking 3D cellular dynamics in thick tissue as many function imaging modalities are limited to 2D samples. Further, this technology can be expanded to analyze a wide variety of cellular and subcellular dynamics non-invasively in thick tissue.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Caroline E. Filan, Srinidhi Bharadwaj, Paloma Casteleiro Costa, Amin Davarzani, Dan Cappabianca, Anna Tommasi, Lauren Sarko, Nina La Vonne Denne, Leidong Mao, Krishanu Saha, Lohitash Karumbaiah, and Francisco E. Robles "Tracking cellular and subcellular dynamics with quantitative oblique back-illumination microscopy", Proc. SPIE 12852, Quantitative Phase Imaging X, 128520D (12 March 2024); https://doi.org/10.1117/12.3000091
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KEYWORDS
Microscopy

Frequency response

Fourier transforms

Cancer

Tissues

Tumors

Light sources and illumination

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