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Oeler KJ, Blackmon RL, Kreda SM, Robinson T, Ghelardini M, Chapman BS, Tracy J, Hill DB, Oldenburg AL. In situ pulmonary mucus hydration assay using rotational and translational diffusion of gold nanorods with polarization-sensitive optical coherence tomography. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:046004. [PMID: 38690122 PMCID: PMC11060333 DOI: 10.1117/1.jbo.29.4.046004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 05/02/2024]
Abstract
Significance Assessing the nanostructure of polymer solutions and biofluids is broadly useful for understanding drug delivery and disease progression and for monitoring therapy. Aim Our objective is to quantify bronchial mucus solids concentration (wt. %) during hypertonic saline (HTS) treatment in vitro via nanostructurally constrained diffusion of gold nanorods (GNRs) monitored by polarization-sensitive optical coherence tomography (PS-OCT). Approach Using PS-OCT, we quantified GNR translational (D T ) and rotational (D R ) diffusion coefficients within polyethylene oxide solutions (0 to 3 wt. %) and human bronchial epithelial cell (hBEC) mucus (0 to 6.4 wt. %). Interpolation of D T and D R data is used to develop an assay to quantify mucus concentration. The assay is demonstrated on the mucus layer of an air-liquid interface hBEC culture during HTS treatment. Results In polymer solutions and mucus, D T and D R monotonically decrease with increasing concentration. D R is more sensitive than D T to changes above 1.5 wt. % of mucus and exhibits less intrasample variability. Mucus on HTS-treated hBEC cultures exhibits dynamic mixing from cilia. A region of hard-packed mucus is revealed by D R measurements. Conclusions The extended dynamic range afforded by simultaneous measurement of D T and D R of GNRs using PS-OCT enables resolving concentration of the bronchial mucus layer over a range from healthy to disease in depth and time during HTS treatment in vitro.
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Affiliation(s)
- Kelsey J. Oeler
- University of North Carolina at Chapel Hill, Department of Biomedical Engineering, Chapel Hill, North Carolina, United States
| | - Richard L. Blackmon
- Elon University, Department of Engineering, Elon, North Carolina, United States
| | - Silvia M. Kreda
- University of North Carolina at Chapel Hill, Marsico Lung Institute/Cystic Fibrosis/Pulmonary Research and Treatment Center, Chapel Hill, North Carolina, United States
| | - Taylor Robinson
- University of North Carolina at Chapel Hill, Department of Physics and Astronomy, Chapel Hill, North Carolina, United States
| | - Melanie Ghelardini
- North Carolina State University, Department of Materials Science and Engineering, Raleigh, North Carolina, United States
| | - Brian S. Chapman
- North Carolina State University, Department of Materials Science and Engineering, Raleigh, North Carolina, United States
| | - Joseph Tracy
- North Carolina State University, Department of Materials Science and Engineering, Raleigh, North Carolina, United States
| | - David B. Hill
- University of North Carolina at Chapel Hill, Department of Biomedical Engineering, Chapel Hill, North Carolina, United States
- University of North Carolina at Chapel Hill, Marsico Lung Institute/Cystic Fibrosis/Pulmonary Research and Treatment Center, Chapel Hill, North Carolina, United States
| | - Amy L. Oldenburg
- University of North Carolina at Chapel Hill, Department of Biomedical Engineering, Chapel Hill, North Carolina, United States
- University of North Carolina at Chapel Hill, Department of Physics and Astronomy, Chapel Hill, North Carolina, United States
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2
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Iyer RR, Sorrells JE, Yang L, Chaney EJ, Spillman DR, Tibble BE, Renteria CA, Tu H, Žurauskas M, Marjanovic M, Boppart SA. Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics. Sci Rep 2022; 12:3438. [PMID: 35236862 PMCID: PMC8891278 DOI: 10.1038/s41598-022-06926-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 02/01/2022] [Indexed: 01/21/2023] Open
Abstract
Label-free optical microscopy has matured as a noninvasive tool for biological imaging; yet, it is criticized for its lack of specificity, slow acquisition and processing times, and weak and noisy optical signals that lead to inaccuracies in quantification. We introduce FOCALS (Fast Optical Coherence, Autofluorescence Lifetime imaging, and Second harmonic generation) microscopy capable of generating NAD(P)H fluorescence lifetime, second harmonic generation (SHG), and polarization-sensitive optical coherence microscopy (OCM) images simultaneously. Multimodal imaging generates quantitative metabolic and morphological profiles of biological samples in vitro, ex vivo, and in vivo. Fast analog detection of fluorescence lifetime and real-time processing on a graphical processing unit enables longitudinal imaging of biological dynamics. We detail the effect of optical aberrations on the accuracy of FLIM beyond the context of undistorting image features. To compensate for the sample-induced aberrations, we implemented a closed-loop single-shot sensorless adaptive optics solution, which uses computational adaptive optics of OCM for wavefront estimation within 2 s and improves the quality of quantitative fluorescence imaging in thick tissues. Multimodal imaging with complementary contrasts improves the specificity and enables multidimensional quantification of the optical signatures in vitro, ex vivo, and in vivo, fast acquisition and real-time processing improve imaging speed by 4-40 × while maintaining enough signal for quantitative nonlinear microscopy, and adaptive optics improves the overall versatility, which enable FOCALS microscopy to overcome the limits of traditional label-free imaging techniques.
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Affiliation(s)
- Rishyashring R. Iyer
- grid.35403.310000 0004 1936 9991Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Janet E. Sorrells
- grid.35403.310000 0004 1936 9991Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Lingxiao Yang
- grid.35403.310000 0004 1936 9991Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Eric J. Chaney
- grid.35403.310000 0004 1936 9991Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Darold R. Spillman
- grid.35403.310000 0004 1936 9991Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Brian E. Tibble
- grid.35403.310000 0004 1936 9991Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991The School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Carlos A. Renteria
- grid.35403.310000 0004 1936 9991Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Haohua Tu
- grid.35403.310000 0004 1936 9991Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Mantas Žurauskas
- grid.35403.310000 0004 1936 9991Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Marina Marjanovic
- grid.35403.310000 0004 1936 9991Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Stephen A. Boppart
- grid.35403.310000 0004 1936 9991Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, USA ,grid.35403.310000 0004 1936 9991Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, USA
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3
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Chen P, Chen X, Hepfer RG, Damon BJ, Shi C, Yao JJ, Coombs MC, Kern MJ, Ye T, Yao H. A noninvasive fluorescence imaging-based platform measures 3D anisotropic extracellular diffusion. Nat Commun 2021; 12:1913. [PMID: 33772014 PMCID: PMC7997923 DOI: 10.1038/s41467-021-22221-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 03/03/2021] [Indexed: 12/21/2022] Open
Abstract
Diffusion is a major molecular transport mechanism in biological systems. Quantifying direction-dependent (i.e., anisotropic) diffusion is vitally important to depicting how the three-dimensional (3D) tissue structure and composition affect the biochemical environment, and thus define tissue functions. However, a tool for noninvasively measuring the 3D anisotropic extracellular diffusion of biorelevant molecules is not yet available. Here, we present light-sheet imaging-based Fourier transform fluorescence recovery after photobleaching (LiFT-FRAP), which noninvasively determines 3D diffusion tensors of various biomolecules with diffusivities up to 51 µm2 s-1, reaching the physiological diffusivity range in most biological systems. Using cornea as an example, LiFT-FRAP reveals fundamental limitations of current invasive two-dimensional diffusion measurements, which have drawn controversial conclusions on extracellular diffusion in healthy and clinically treated tissues. Moreover, LiFT-FRAP demonstrates that tissue structural or compositional changes caused by diseases or scaffold fabrication yield direction-dependent diffusion changes. These results demonstrate LiFT-FRAP as a powerful platform technology for studying disease mechanisms, advancing clinical outcomes, and improving tissue engineering.
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Affiliation(s)
- Peng Chen
- Clemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA
| | - Xun Chen
- Clemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA
| | - R Glenn Hepfer
- Clemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA
- Department of Oral Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Brooke J Damon
- Clemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA
| | - Changcheng Shi
- Clemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA
- Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, Ningbo, Zhejiang, China
| | - Jenny J Yao
- Department of Physics, Harvard University, Cambridge, MA, USA
| | - Matthew C Coombs
- Clemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA
- Department of Oral Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Michael J Kern
- Department of Regenerative Medicine and Cell Biology, Medical University of South Carolina, Charleston, SC, USA
| | - Tong Ye
- Clemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.
- Department of Regenerative Medicine and Cell Biology, Medical University of South Carolina, Charleston, SC, USA.
| | - Hai Yao
- Clemson-MUSC Joint Bioengineering Program, Department of Bioengineering, Clemson University, Clemson, SC, USA.
- Department of Oral Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
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Lu GJ, Chou LD, Malounda D, Patel AK, Welsbie DS, Chao DL, Ramalingam T, Shapiro MG. Genetically Encodable Contrast Agents for Optical Coherence Tomography. ACS NANO 2020; 14:7823-7831. [PMID: 32023037 PMCID: PMC7685218 DOI: 10.1021/acsnano.9b08432] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Optical coherence tomography (OCT) has gained wide adoption in biological research and medical imaging due to its exceptional tissue penetration, 3D imaging speed, and rich contrast. However, OCT plays a relatively small role in molecular and cellular imaging due to the lack of suitable biomolecular contrast agents. In particular, while the green fluorescent protein has provided revolutionary capabilities to fluorescence microscopy by connecting it to cellular functions such as gene expression, no equivalent reporter gene is currently available for OCT. Here, we introduce gas vesicles, a class of naturally evolved gas-filled protein nanostructures, as genetically encodable OCT contrast agents. The differential refractive index of their gas compartments relative to surrounding aqueous tissue and their nanoscale motion enables gas vesicles to be detected by static and dynamic OCT. Furthermore, the OCT contrast of gas vesicles can be selectively erased in situ with ultrasound, allowing unambiguous assignment of their location. In addition, gas vesicle clustering modulates their temporal signal, enabling the design of dynamic biosensors. We demonstrate the use of gas vesicles as reporter genes in bacterial colonies and as purified contrast agents in vivo in the mouse retina. Our results expand the utility of OCT to image a wider variety of cellular and molecular processes.
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Affiliation(s)
- George J. Lu
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Li-dek Chou
- OCT Medical Imaging Inc., 9272 Jeronimo Road, Irvine, CA 92618, USA
| | - Dina Malounda
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Amit K. Patel
- Shiley Eye Institute, Andrew Viterbi Department of Ophthalmology, University of California San Diego, La Jolla, CA 92093, USA
| | - Derek S. Welsbie
- Shiley Eye Institute, Andrew Viterbi Department of Ophthalmology, University of California San Diego, La Jolla, CA 92093, USA
| | - Daniel L. Chao
- Shiley Eye Institute, Andrew Viterbi Department of Ophthalmology, University of California San Diego, La Jolla, CA 92093, USA
| | | | - Mikhail G. Shapiro
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
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5
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Brunel B, Levy V, Millet A, Dolega ME, Delon A, Pierrat R, Cappello G. Measuring cell displacements in opaque tissues: dynamic light scattering in the multiple scattering regime. BIOMEDICAL OPTICS EXPRESS 2020; 11:2277-2297. [PMID: 32341883 PMCID: PMC7173902 DOI: 10.1364/boe.388360] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 03/13/2020] [Accepted: 03/25/2020] [Indexed: 05/30/2023]
Abstract
Coherent light scattered by tissues brings structural and dynamic information, at depth, that standard imaging techniques cannot reach. Dynamics of cells or sub-cellular elements can be measured thanks to dynamic light scattering in thin samples (single scattering regime) or thanks to diffusive wave spectroscopy in thick samples (diffusion regime). Here, we address the intermediate regime and provide an analytical relationship between scattered light fluctuations and the distribution of cell displacements as a function of time. We illustrate our method by characterizing cell motility inside half millimeter thick multicellular aggregates.
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Affiliation(s)
- Benjamin Brunel
- Université Grenoble Alpes, Laboratoire Interdisciplinaire de Physique, CNRS, F-38000 Grenoble, France
| | - Vincent Levy
- Université Grenoble Alpes, Laboratoire Interdisciplinaire de Physique, CNRS, F-38000 Grenoble, France
| | - Arnaud Millet
- Institute for Advanced Biosciences, Inserm U1209 - CNRS UMR 5309, Université Grenoble Alpes, F-38000 Grenoble, France
- Research Department, University Hospital of Grenoble Alpes, F-38000 Grenoble, France
| | - Monika Elzbieta Dolega
- Université Grenoble Alpes, Laboratoire Interdisciplinaire de Physique, CNRS, F-38000 Grenoble, France
| | - Antoine Delon
- Université Grenoble Alpes, Laboratoire Interdisciplinaire de Physique, CNRS, F-38000 Grenoble, France
| | - Romain Pierrat
- ESPCI Paris, PSL University, CNRS, Institut Langevin, 1 rue Jussieu, F-75005, Paris, France
| | - Giovanni Cappello
- Université Grenoble Alpes, Laboratoire Interdisciplinaire de Physique, CNRS, F-38000 Grenoble, France
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