Functional imaging with dynamic quantitative oblique back-illumination microscopy.

dynamic functional imaging label-free microscopy quantitative phase imaging stem cells

Journal

Journal of biomedical optics
ISSN: 1560-2281
Titre abrégé: J Biomed Opt
Pays: United States
ID NLM: 9605853

Informations de publication

Date de publication:
06 2022
Historique:
received: 18 03 2022
accepted: 14 06 2022
entrez: 1 7 2022
pubmed: 2 7 2022
medline: 6 7 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35773755
pii: JBO-220060GR
doi: 10.1117/1.JBO.27.6.066502
pmc: PMC9243522
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NCI NIH HHS
ID : R21 CA223853
Pays : United States
Organisme : NINDS NIH HHS
ID : R21 NS117067
Pays : United States

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Auteurs

Paloma Casteleiro Costa (P)

Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States.

Bryan Wang (B)

Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical En, United States.
Georgia Institute of Technology, Marcus Center for Therapeutic Cell Characterization and Manufacturi, United States.

Caroline Filan (C)

Georgia Institute of Technology, Nuclear & Radiological Engineering and Medical Physics Program, Atl, United States.

Annie Bowles-Welch (A)

Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical En, United States.
Georgia Institute of Technology, Marcus Center for Therapeutic Cell Characterization and Manufacturi, United States.

Carolyn Yeago (C)

Georgia Institute of Technology, Marcus Center for Therapeutic Cell Characterization and Manufacturi, United States.

Krishnendu Roy (K)

Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical En, United States.
Georgia Institute of Technology, Marcus Center for Therapeutic Cell Characterization and Manufacturi, United States.

Francisco E Robles (FE)

Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States.
Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical En, United States.

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Classifications MeSH