| Autor: |
Paloma, Casteleiro Costa, Bryan, Wang, Caroline, Filan, Annie, Bowles-Welch, Carolyn, Yeago, Krishnendu, Roy, Francisco E, Robles |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Journal of Biomedical Optics. 27 |
| ISSN: |
1083-3668 |
| DOI: |
10.1117/1.jbo.27.6.066502 |
| Popis: |
Quantitative oblique back-illumination microscopy (qOBM) is a recently developed label-free imaging technique that enables 3D quantitative phase imaging of thick scattering samples with epi-illumination. Here, we propose dynamic qOBM to achieve functional imaging based on subcellular dynamics, potentially indicative of metabolic activity. We show the potential utility of this novel technique by imaging adherent mesenchymal stromal cells (MSCs) grown in bioreactors, which can help address important unmet needs in cell manufacturing for therapeutics.We aim to develop dynamic qOBM and demonstrate its potential for functional imaging based on cellular and subcellular dynamics.To obtain functional images with dynamic qOBM, a sample is imaged over a period of time and its temporal signals are analyzed. The dynamic signals display an exponential frequency response that can be analyzed with phasor analysis. Functional images of the dynamic signatures are obtained by mapping the frequency dynamic response to phasor space and color-coding clustered signals.Functional imaging with dynamic qOBM provides unique information related to subcellular activity. The functional qOBM images of MSCs not only improve conspicuity of cells in complex environments (e.g., porous micro-carriers) but also reveal two distinct cell populations with different dynamic behavior.In this work we present a label-free, fast, and scalable functional imaging approach to study and intuitively display cellular and subcellular dynamics. We further show the potential utility of this novel technique to help monitor adherent MSCs grown in bioreactors, which can help achieve quality-by-design of cell products, a significant unmet need in the field of cell therapeutics. This approach also has great potential for dynamic studies of other thick samples, such as organoids. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
