1
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Smith JT, Liu CJ, Degnan J, Ouellette JN, Conklin MW, Kellner AV, Scribano CM, Hrycyniak L, Oliner JD, Zahm C, Wait E, Eliceiri KW, Rafter J. Label-free fluorescence lifetime imaging for the assessment of cell viability in living tumor fragments. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S22709. [PMID: 38881557 PMCID: PMC11177118 DOI: 10.1117/1.jbo.29.s2.s22709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 05/23/2024] [Accepted: 05/28/2024] [Indexed: 06/18/2024]
Abstract
Significance To enable non-destructive longitudinal assessment of drug agents in intact tumor tissue without the use of disruptive probes, we have designed a label-free method to quantify the health of individual tumor cells in excised tumor tissue using multiphoton fluorescence lifetime imaging microscopy (MP-FLIM). Aim Using murine tumor fragments which preserve the native tumor microenvironment, we seek to demonstrate signals generated by the intrinsically fluorescent metabolic co-factors nicotinamide adenine dinucleotide phosphate [NAD(P)H] and flavin adenine dinucleotide (FAD) correlate with irreversible cascades leading to cell death. Approach We use MP-FLIM of NAD(P)H and FAD on tissues and confirm viability using standard apoptosis and live/dead (Caspase 3/7 and propidium iodide, respectively) assays. Results Through a statistical approach, reproducible shifts in FLIM data, determined through phasor analysis, are shown to correlate with loss of cell viability. With this, we demonstrate that cell death achieved through either apoptosis/necrosis or necroptosis can be discriminated. In addition, specific responses to common chemotherapeutic treatment inducing cell death were detected. Conclusions These data demonstrate that MP-FLIM can detect and quantify cell viability without the use of potentially toxic dyes, thus enabling longitudinal multi-day studies assessing the effects of therapeutic agents on tumor fragments.
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Affiliation(s)
- Jason T Smith
- Elephas, Madison, Wisconsin, United States
- Booz Allen Hamilton, McLean, Virginia, United States
| | - Chao J Liu
- Elephas, Madison, Wisconsin, United States
| | | | | | | | | | | | | | | | - Chris Zahm
- Elephas, Madison, Wisconsin, United States
| | - Eric Wait
- Elephas, Madison, Wisconsin, United States
| | - Kevin W Eliceiri
- Center for Quantitative Cell Imaging, Madison, Wisconsin, United States
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2
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Shaked NT, Boppart SA, Wang LV, Popp J. Label-free biomedical optical imaging. NATURE PHOTONICS 2023; 17:1031-1041. [PMID: 38523771 PMCID: PMC10956740 DOI: 10.1038/s41566-023-01299-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 08/22/2023] [Indexed: 03/22/2024]
Abstract
Label-free optical imaging employs natural and nondestructive approaches for the visualisation of biomedical samples for both biological assays and clinical diagnosis. Currently, this field revolves around multiple broad technology-oriented communities, each with a specific focus on a particular modality despite the existence of shared challenges and applications. As a result, biologists or clinical researchers who require label-free imaging are often not aware of the most appropriate modality to use. This manuscript presents a comprehensive review of and comparison among different label-free imaging modalities and discusses common challenges and applications. We expect this review to facilitate collaborative interactions between imaging communities, push the field forward and foster technological advancements, biophysical discoveries, as well as clinical detection, diagnosis, and monitoring of disease.
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Affiliation(s)
- Natan T Shaked
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Stephen A Boppart
- Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering,; Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Lihong V Wang
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research, Jena, Germany; Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Jena, Germany
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3
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Park J, Sorrells JE, Chaney EJ, Abdelrahman AM, Yonkus JA, Leiting JL, Nelson H, Harrington JJ, Aksamitiene E, Marjanovic M, Groves PD, Bushell C, Truty MJ, Boppart SA. In vivo label-free optical signatures of chemotherapy response in human pancreatic ductal adenocarcinoma patient-derived xenografts. Commun Biol 2023; 6:980. [PMID: 37749184 PMCID: PMC10520051 DOI: 10.1038/s42003-023-05368-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/15/2023] [Indexed: 09/27/2023] Open
Abstract
Pancreatic cancer is a devastating disease often detected at later stages, necessitating swift and effective chemotherapy treatment. However, chemoresistance is common and its mechanisms are poorly understood. Here, label-free multi-modal nonlinear optical microscopy was applied to study microstructural and functional features of pancreatic tumors in vivo to monitor inter- and intra-tumor heterogeneity and treatment response. Patient-derived xenografts with human pancreatic ductal adenocarcinoma were implanted into mice and characterized over five weeks of intraperitoneal chemotherapy (FIRINOX or Gem/NabP) with known responsiveness/resistance. Resistant and responsive tumors exhibited a similar initial metabolic response, but by week 5 the resistant tumor deviated significantly from the responsive tumor, indicating that a representative response may take up to five weeks to appear. This biphasic metabolic response in a chemoresistant tumor reveals the possibility of intra-tumor spatiotemporal heterogeneity of drug responsiveness. These results, though limited by small sample size, suggest the possibility for further work characterizing chemoresistance mechanisms using nonlinear optical microscopy.
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Affiliation(s)
- Jaena Park
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Janet E Sorrells
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Eric J Chaney
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Amro M Abdelrahman
- Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Jennifer A Yonkus
- Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Jennifer L Leiting
- Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Heidi Nelson
- Division of Research and Optimal Patient Care, Cancer Programs, American College of Surgeons, Rochester, MN, 55905, USA
| | | | - Edita Aksamitiene
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Marina Marjanovic
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
- NIH/NIBIB Center for Label-free Imaging and Multiscale Biophotonics, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Peter D Groves
- National Center for Supercomputing Applications, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Colleen Bushell
- National Center for Supercomputing Applications, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
| | - Mark J Truty
- Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Stephen A Boppart
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
- NIH/NIBIB Center for Label-free Imaging and Multiscale Biophotonics, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
- Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
- Interdisciplinary Health Sciences Institute, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
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4
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Awasthi K, Wu TE, Hsu HY, Ohta N. Application of Nanosecond Pulsed Electric Field and Autofluorescence Lifetime Microscopy of FAD in Lung Cells. J Phys Chem B 2023. [PMID: 37319427 DOI: 10.1021/acs.jpcb.3c01148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Exposure of nanosecond pulsed electric fields (nsPEFs) to live cells is an increasing research interest in biology and medicine. Despite extensive studies, a question still remains as to how effects of application of nsPEF on intracellular functions are different between cancerous cells and normal cells and how the difference can be detected. Herein, we have presented an approach of autofluorescence lifetime (AFL) microscopy of flavin adenine dinucleotide (FAD) to detect effects of application of nsPEF having 50 ns of a pulse width, nsPEF(50), on intracellular function in lung cancerous cells, A549 and H661, which show nsPEF(50)-induced apoptosis, and normal cells, MRC-5, in which the field effect is less or not induced. Then, the application of nsPEF(50) is shown to increase the lifetime of FAD autofluorescence in lung cancerous cells, whereas the electric field effects on the autofluorescence of FAD was not significant in normal healthy cells, which indicates that the lifetime measurements of FAD autofluorescence are applicable to detect the field-induced change in intracellular functions. Lifetime and intensity microscopic images of FAD autofluorescence in these lung cells were also acquired after exposure to the apoptosis-inducer staurosporine (STS). Then, it was found that the AFL of FAD became longer after exposure not only in the cancerous cells but also in the normal cells. These results indicate that nsPEF(50) applied to lung cells induced apoptotic cell death only in lung cancerous cells (H661 and A549) but not in lung normal cells (MRC-5), whereas STS induced apoptotic cell death both in lung cancerous cells and in lung normal cells. The lifetime microscopy of FAD autofluorescence is suggested to be very useful as a sensitive detection method of nsPEF-induced apoptotic cell death.
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Affiliation(s)
- Kamlesh Awasthi
- Department of Applied Chemistry and Institute of Molecular Science, National Yang Ming Chiao Tung University, 1001 Ta-Hsueh Rd., Hsinchu 300093, Taiwan
- Center for Emergent Functional Matter Science, National Yang Ming Chiao Tung University, 1001 Ta-Hsueh Rd., Hsinchu 300093, Taiwan
| | - Tsai-En Wu
- Department of Applied Chemistry and Institute of Molecular Science, National Yang Ming Chiao Tung University, 1001 Ta-Hsueh Rd., Hsinchu 300093, Taiwan
| | - Hsin-Yun Hsu
- Department of Applied Chemistry and Institute of Molecular Science, National Yang Ming Chiao Tung University, 1001 Ta-Hsueh Rd., Hsinchu 300093, Taiwan
- Center for Emergent Functional Matter Science, National Yang Ming Chiao Tung University, 1001 Ta-Hsueh Rd., Hsinchu 300093, Taiwan
| | - Nobuhiro Ohta
- Department of Applied Chemistry and Institute of Molecular Science, National Yang Ming Chiao Tung University, 1001 Ta-Hsueh Rd., Hsinchu 300093, Taiwan
- Center for Emergent Functional Matter Science, National Yang Ming Chiao Tung University, 1001 Ta-Hsueh Rd., Hsinchu 300093, Taiwan
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5
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Fluorescence intensity and lifetime imaging of lipofuscin-like autofluorescence for label-free predicting clinical drug response in cancer. Redox Biol 2022; 59:102578. [PMID: 36566738 PMCID: PMC9804248 DOI: 10.1016/j.redox.2022.102578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022] Open
Abstract
Conventional techniques for in vitro cancer drug screening require labor-intensive formalin fixation, paraffin embedding, and dye staining of tumor tissues at fixed endpoints. This way of assessment discards the valuable pharmacodynamic information in live cells over time. Here, we found endogenous lipofuscin-like autofluorescence acutely accumulated in the cell death process. Its unique red autofluorescence could report the apoptosis without labeling and continuously monitor the treatment responses in 3D tumor-culture models. Lifetime imaging of lipofuscin-like red autofluorescence could further distinguish necrosis from apoptosis of cells. Moreover, this endogenous fluorescent marker could visualize the apoptosis in live zebrafish embryos during development. Overall, this study validates that lipofuscin-like autofluorophore is a generic cell death marker. Its characteristic autofluorescence could label-free predict the efficacy of anti-cancer drugs in organoids or animal models.
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6
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Hartnett EB, Zhou M, Gong YN, Chen YC. LANCE: a Label-Free Live Apoptotic and Necrotic Cell Explorer Using Convolutional Neural Network Image Analysis. Anal Chem 2022; 94:14827-14834. [PMID: 36251981 PMCID: PMC10729583 DOI: 10.1021/acs.analchem.2c00878] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Identifying and quantifying cell death is the basis for all cell death research. Current methods for obtaining these quantitative measurements rely on established biomarkers, yet the marker-based approach suffers from limited marker specificity, high cost of reagents, lengthy sample preparation, and fluorescence imaging. Based on the morphological difference, we developed a Live, Apoptotic, and Necrotic Cell Explorer (LANCE) to categorize cell death status in a label-free manner, by incorporating machine learning and image processing. The LANCE workflow includes cropping individual cells from microscopic images having hundreds of cells, formation of an image database of around 5000 events, training and validation of the convolutional neural network models using multiple cell lines, and treatment conditions. With LANCE, we precisely categorized live, apoptotic, and necrotic cells with a high accuracy of 96.3 ± 0.5%. More importantly, the nondestructive label-free LANCE method allows for tracking time dynamics of the cell death process, which enhances the understanding of subtle cell death regulation at the molecular level. Hence, LANCE is a fast, low-cost, and nondestructive label-free method to distinguish cell status, which can be applied to cell death studies as well as many other biomedical applications.
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Affiliation(s)
- Emma B. Hartnett
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA 15260, USA
| | - Mengli Zhou
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Yi-Nan Gong
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
| | - Yu-Chih Chen
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA 15260, USA
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- CMU-Pitt Ph.D. Program in Computational Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
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7
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Becker L, Fischer F, Fleck JL, Harland N, Herkommer A, Stenzl A, Aicher WK, Schenke-Layland K, Marzi J. Data-Driven Identification of Biomarkers for In Situ Monitoring of Drug Treatment in Bladder Cancer Organoids. Int J Mol Sci 2022; 23:ijms23136956. [PMID: 35805961 PMCID: PMC9266781 DOI: 10.3390/ijms23136956] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/20/2022] [Accepted: 06/21/2022] [Indexed: 02/01/2023] Open
Abstract
Three-dimensional (3D) organoid culture recapitulating patient-specific histopathological and molecular diversity offers great promise for precision medicine in cancer. In this study, we established label-free imaging procedures, including Raman microspectroscopy (RMS) and fluorescence lifetime imaging microscopy (FLIM), for in situ cellular analysis and metabolic monitoring of drug treatment efficacy. Primary tumor and urine specimens were utilized to generate bladder cancer organoids, which were further treated with various concentrations of pharmaceutical agents relevant for the treatment of bladder cancer (i.e., cisplatin, venetoclax). Direct cellular response upon drug treatment was monitored by RMS. Raman spectra of treated and untreated bladder cancer organoids were compared using multivariate data analysis to monitor the impact of drugs on subcellular structures such as nuclei and mitochondria based on shifts and intensity changes of specific molecular vibrations. The effects of different drugs on cell metabolism were assessed by the local autofluorophore environment of NADH and FAD, determined by multiexponential fitting of lifetime decays. Data-driven neural network and data validation analyses (k-means clustering) were performed to retrieve additional and non-biased biomarkers for the classification of drug-specific responsiveness. Together, FLIM and RMS allowed for non-invasive and molecular-sensitive monitoring of tumor-drug interactions, providing the potential to determine and optimize patient-specific treatment efficacy.
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Affiliation(s)
- Lucas Becker
- Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, University of Tuebingen, 72076 Tuebingen, Germany; (L.B.); (K.S.-L.)
- Cluster of Excellence iFIT (EXC 2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tuebingen, 72076 Tuebingen, Germany
| | - Felix Fischer
- Institute of Applied Optics (ITO), University of Stuttgart, 70569 Stuttgart, Germany; (F.F.); (A.H.)
| | - Julia L. Fleck
- Mines Saint-Etienne, CNRS, UMR 6158 LIMOS, Centre CIS, Université Clermont Auvergne, 42270 Saint Jarez-en-Priest, France;
| | - Niklas Harland
- Department of Urology, University of Tuebingen Hospital, 72076 Tuebingen, Germany; (N.H.); (A.S.)
| | - Alois Herkommer
- Institute of Applied Optics (ITO), University of Stuttgart, 70569 Stuttgart, Germany; (F.F.); (A.H.)
| | - Arnulf Stenzl
- Department of Urology, University of Tuebingen Hospital, 72076 Tuebingen, Germany; (N.H.); (A.S.)
| | - Wilhelm K. Aicher
- Center of Medical Research, Department of Urology at UKT, University of Tuebingen, 72076 Tuebingen, Germany;
| | - Katja Schenke-Layland
- Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, University of Tuebingen, 72076 Tuebingen, Germany; (L.B.); (K.S.-L.)
- Cluster of Excellence iFIT (EXC 2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tuebingen, 72076 Tuebingen, Germany
- NMI Natural and Medical Sciences Institute at the University of Tueingen, 72770 Reutlingen, Germany
| | - Julia Marzi
- Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, University of Tuebingen, 72076 Tuebingen, Germany; (L.B.); (K.S.-L.)
- Cluster of Excellence iFIT (EXC 2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tuebingen, 72076 Tuebingen, Germany
- NMI Natural and Medical Sciences Institute at the University of Tueingen, 72770 Reutlingen, Germany
- Correspondence:
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8
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Tandon I, Quinn KP, Balachandran K. Label-Free Multiphoton Microscopy for the Detection and Monitoring of Calcific Aortic Valve Disease. Front Cardiovasc Med 2021; 8:688513. [PMID: 34179147 PMCID: PMC8226007 DOI: 10.3389/fcvm.2021.688513] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 05/17/2021] [Indexed: 12/12/2022] Open
Abstract
Calcific aortic valve disease (CAVD) is the most common valvular heart disease. CAVD results in a considerable socio-economic burden, especially considering the aging population in Europe and North America. The only treatment standard is surgical valve replacement as early diagnostic, mitigation, and drug strategies remain underdeveloped. Novel diagnostic techniques and biomarkers for early detection and monitoring of CAVD progression are thus a pressing need. Additionally, non-destructive tools are required for longitudinal in vitro and in vivo assessment of CAVD initiation and progression that can be translated into clinical practice in the future. Multiphoton microscopy (MPM) facilitates label-free and non-destructive imaging to obtain quantitative, optical biomarkers that have been shown to correlate with key events during CAVD progression. MPM can also be used to obtain spatiotemporal readouts of metabolic changes that occur in the cells. While cellular metabolism has been extensively explored for various cardiovascular disorders like atherosclerosis, hypertension, and heart failure, and has shown potential in elucidating key pathophysiological processes in heart valve diseases, it has yet to gain traction in the study of CAVD. Furthermore, MPM also provides structural, functional, and metabolic readouts that have the potential to correlate with key pathophysiological events in CAVD progression. This review outlines the applicability of MPM and its derived quantitative metrics for the detection and monitoring of early CAVD progression. The review will further focus on the MPM-detectable metabolic biomarkers that correlate with key biological events during valve pathogenesis and their potential role in assessing CAVD pathophysiology.
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Affiliation(s)
- Ishita Tandon
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, United States
| | - Kyle P Quinn
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, United States
| | - Kartik Balachandran
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, United States
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9
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Sternisha SM, Mukherjee P, Alex A, Chaney EJ, Barkalifa R, Wan B, Lee JH, Rico-Jimenez J, Žurauskas M, Spillman DR, Sripada SA, Marjanovic M, Arp Z, Galosy SS, Bhanushali DS, Hood SR, Bose S, Boppart SA. Longitudinal monitoring of cell metabolism in biopharmaceutical production using label-free fluorescence lifetime imaging microscopy. Biotechnol J 2021; 16:e2000629. [PMID: 33951311 DOI: 10.1002/biot.202000629] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 04/12/2021] [Accepted: 04/28/2021] [Indexed: 11/11/2022]
Abstract
Chinese hamster ovary (CHO) cells are routinely used in the biopharmaceutical industry for production of therapeutic monoclonal antibodies (mAbs). Although multiple offline and time-consuming measurements of spent media composition and cell viability assays are used to monitor the status of culture in biopharmaceutical manufacturing, the day-to-day changes in the cellular microenvironment need further in-depth characterization. In this study, two-photon fluorescence lifetime imaging microscopy (2P-FLIM) was used as a tool to directly probe into the health of CHO cells from a bioreactor, exploiting the autofluorescence of intracellular nicotinamide adenine dinucleotide phosphate (NAD(P)H), an enzymatic cofactor that determines the redox state of the cells. A custom-built multimodal microscope with two-photon FLIM capability was utilized to monitor changes in NAD(P)H fluorescence for longitudinal characterization of a changing environment during cell culture processes. Three different cell lines were cultured in 0.5 L shake flasks and 3 L bioreactors. The resulting FLIM data revealed differences in the fluorescence lifetime parameters, which were an indicator of alterations in metabolic activity. In addition, a simple principal component analysis (PCA) of these optical parameters was able to identify differences in metabolic progression of two cell lines cultured in bioreactors. Improved understanding of cell health during antibody production processes can result in better streamlining of process development, thereby improving product titer and verification of scale-up. To our knowledge, this is the first study to use FLIM as a label-free measure of cellular metabolism in a biopharmaceutically relevant and clinically important CHO cell line.
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Affiliation(s)
- Shawn M Sternisha
- Biopharm Product Development, GlaxoSmithKline, King of Prussia, Pennsylvania, USA
| | - Prabuddha Mukherjee
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Aneesh Alex
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,In vitro/In vivo Translation, Research, GlaxoSmithKline, Collegeville, Pennsylvania, USA
| | - Eric J Chaney
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Ronit Barkalifa
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Boyong Wan
- Biopharm Product Development, GlaxoSmithKline, King of Prussia, Pennsylvania, USA
| | - Jang Hyuk Lee
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Jose Rico-Jimenez
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Mantas Žurauskas
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Darold R Spillman
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Sobhana A Sripada
- Biopharm Product Development, GlaxoSmithKline, King of Prussia, Pennsylvania, USA.,Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, USA
| | - Marina Marjanovic
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Zane Arp
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Sybille S Galosy
- Biopharm Product Development, GlaxoSmithKline, King of Prussia, Pennsylvania, USA
| | | | - Steve R Hood
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,GlaxoSmithKline Research and Development, Stevenage, Hertfordshire, UK
| | - Sayantan Bose
- Biopharm Product Development, GlaxoSmithKline, King of Prussia, Pennsylvania, USA
| | - Stephen A Boppart
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
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10
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Tissue Imaging and Quantification Relying on Endogenous Contrast. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 3233:257-288. [PMID: 34053031 DOI: 10.1007/978-981-15-7627-0_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Cell-matrix interactions play an important role in regulating a variety of essential processes in multicellular organisms, and are closely associated with numerous diseases. Modified interactions have major effects upon key features of both cells and extracellular matrix (ECM), and a thorough understanding of changes in these features can lead to critically important insights of diseases as well as the identification of effective therapeutic targets. Here, we summarize recent advances in quantitative, optical imaging of cellular metabolism and ECM spatial organization using endogenous sources of contrast. Specifically, we focus on the two-photon excited fluorescence (TPEF) imaging of autofluorescent cellular coenzymes, NAD(P)H and FAD, for the extraction of metabolic information described by optical biomarkers including cellular redox state, NAD(P)H fluorescence lifetime, and mitochondrial clustering. We show representative applications in assessing adipose tissue function and detecting malignant lesions in human skin, and further demonstrate that a combination of these optical metrics can provide complementary insights into the underlying biological mechanisms. In addition, we review the development of quantitative analysis methods to extract spatial orientation and organization metrics of collagen fibers, a major ECM component, and demonstrate applications of these approaches in two and three dimensions in several diseases, including would healing, osteoarthritis and cancer, as well as assessments of matrix remodeling in hormone-regulated engineered breast tissues. Finally, we summarize this chapter and discuss important research directions that we expect will evolve in the near future.
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11
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Honrado C, Adair SJ, Moore JH, Salahi A, Bauer TW, Swami NS. Apoptotic Bodies in the Pancreatic Tumor Cell Culture Media Enable Label-Free Drug Sensitivity Assessment by Impedance Cytometry. Adv Biol (Weinh) 2021; 5:e2100438. [PMID: 34015194 DOI: 10.1002/adbi.202100438] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/25/2021] [Indexed: 12/15/2022]
Abstract
The ability to rapidly and sensitively predict drug response and toxicity using in vitro models of patient-derived tumors is essential for assessing chemotherapy efficacy. Currently, drug sensitivity assessment for solid tumors relies on imaging adherent cells or by flow cytometry of cells lifted from drug-treated cultures after fluorescent staining for apoptotic markers. Subcellular apoptotic bodies (ABs), including microvesicles that are secreted into the culture media under drug treatment can potentially serve as markers for drug sensitivity, without the need to lift cells under culture. However, their stratification to quantify cell disassembly is challenging due to their compositional diversity, with tailored labeling strategies currently needed for the recognition and cytometry of each AB type. It is shown that the high frequency impedance phase versus size distribution of ABs determined by high-throughput single-particle impedance cytometry of supernatants in the media of gemcitabine-treated pancreatic tumor cultures exhibits phenotypic resemblance to lifted apoptotic cells and enables shape-based stratification within distinct size ranges, which is not possible by flow cytometry. It is envisioned that this tool can be applied in conjunction with the appropriate pancreatic tumor microenvironment model to assess drug sensitivity and toxicity of patient-derived tumors, without the need to lift cells from cultures.
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Affiliation(s)
- Carlos Honrado
- Electrical & Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA
| | - Sara J Adair
- Surgery, School of Medicine, University of Virginia, Charlottesville, VA, 22904, USA
| | - John H Moore
- Electrical & Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA
| | - Armita Salahi
- Electrical & Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA
| | - Todd W Bauer
- Surgery, School of Medicine, University of Virginia, Charlottesville, VA, 22904, USA
| | - Nathan S Swami
- Electrical & Computer Engineering, University of Virginia, Charlottesville, VA, 22904, USA.,Chemistry, University of Virginia, Charlottesville, VA, 22904, USA
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12
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Bower AJ, Renteria C, Li J, Marjanovic M, Barkalifa R, Boppart SA. High-speed label-free two-photon fluorescence microscopy of metabolic transients during neuronal activity. APPLIED PHYSICS LETTERS 2021; 118:081104. [PMID: 33642609 PMCID: PMC7904318 DOI: 10.1063/5.0031348] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 02/03/2021] [Indexed: 05/21/2023]
Abstract
The brain is an especially active metabolic system, requiring a large supply of energy following neuronal activation. However, direct observation of cellular metabolic dynamics associated with neuronal activation is challenging with currently available imaging tools. In this study, an optical imaging approach combining imaging of calcium transients and the metabolic co-enzyme nicotinamide adenine dinucleotide (phosphate) (NAD(P)H) is utilized to track the metabolic dynamics in hippocampal neuron cultures. Results show distinct cellular components for the NAD(P)H response following neuronal activity, where notable differences in the NAD(P)H dynamics between neurons and astrocytes can be directly observed. Additionally, tracking of these responses across a large field of view is demonstrated for metabolic profiling of neuronal activation. Observation of neuronal dynamics using these methods allows for closer examination of the complex metabolic machinery of the brain, and may lead to a better understanding of the cellular metabolism of neuronal activation.
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Affiliation(s)
| | | | | | | | - Ronit Barkalifa
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
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13
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Zbinden A, Carvajal Berrio DA, Urbanczyk M, Layland SL, Bosch M, Fliri S, Lu CE, Jeyagaran A, Loskill P, Duffy GP, Schenke-Layland K. Fluorescence lifetime metabolic mapping of hypoxia-induced damage in pancreatic pseudo-islets. JOURNAL OF BIOPHOTONICS 2020; 13:e202000375. [PMID: 33026180 DOI: 10.1002/jbio.202000375] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 10/03/2020] [Accepted: 10/04/2020] [Indexed: 05/06/2023]
Abstract
Pancreatic islet isolation from donor pancreases is an essential step for the transplantation of insulin-secreting β-cells as a therapy to treat type 1 diabetes mellitus. This process however damages islet basement membranes, which can lead to islet dysfunction or death. Posttransplantation, islets are further stressed by a hypoxic environment and immune reactions that cause poor engraftment and graft failure. The current standards to assess islet quality before transplantation are destructive procedures, performed on a small islet population that does not reflect the heterogeneity of large isolated islet batches. In this study, we incorporated fluorescence lifetime imaging microscopy (FLIM) into a pancreas-on-chip system to establish a protocol to noninvasively assess the viability and functionality of pancreatic β-cells in a three-dimensional in vitro model (= pseudo-islets). We demonstrate how (pre-) hypoxic β-cell-composed pseudo-islets can be discriminated from healthy functional pseudo-islets according to their FLIM-based metabolic profiles. The use of FLIM during the pretransplantation pancreatic islet selection process has the potential to improve the outcome of β-cell islet transplantation.
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Affiliation(s)
- Aline Zbinden
- Department of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Daniel A Carvajal Berrio
- Department of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University Tübingen, Tübingen, Germany
| | - Max Urbanczyk
- Department of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Shannon L Layland
- Department of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Mariella Bosch
- Department of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Sandro Fliri
- Department of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Chuan-En Lu
- Department of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Abiramy Jeyagaran
- Department of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Peter Loskill
- Department of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
- Fraunhofer IGB, Stuttgart, Germany
| | - Garry P Duffy
- Anatomy and Regenerative Medicine Institute, School of Medicine, College of Medicine Nursing and Health Sciences, National University of Ireland, Galway, Ireland
| | - Katja Schenke-Layland
- Department of Women's Health, Research Institute for Women's Health, Eberhard Karls University Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University Tübingen, Tübingen, Germany
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
- Department of Medicine/Cardiology, Cardiovascular Research Laboratories, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
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14
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Smokelin IS, Mizzoni C, Erndt-Marino J, Kaplan DL, Georgakoudi I. Optical changes in THP-1 macrophage metabolism in response to pro- and anti-inflammatory stimuli reported by label-free two-photon imaging. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-14. [PMID: 31953928 PMCID: PMC7008597 DOI: 10.1117/1.jbo.25.1.014512] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 12/23/2019] [Indexed: 06/01/2023]
Abstract
Temporal changes in macrophage metabolism are likely crucial to their role in inflammatory diseases. Label-free two-photon excited fluorescence (TPEF) and fluorescence lifetime imaging microscopy are well suited to track dynamic changes in macrophage metabolism. We performed TPEF imaging of human macrophages following either pro- or an anti-inflammatory stimulation. Two endogenous fluorophores, NAD(P)H and FAD, coenzymes involved in key metabolic pathways, provided contrast. We used the corresponding intensity images to determine the optical redox ratio of FAD to FAD + NAD(P)H. We also analyzed the intensity fluctuation patterns within NAD(P)H TPEF images to determine mitochondrial clustering patterns. Finally, we acquired NAD(P)H TPEF lifetime images to assess the relative levels of bound NAD(P)H. Our studies indicate that the redox ratio increases, whereas mitochondrial clustering decreases in response to both pro- and anti-inflammatory stimuli; however, these changes are enhanced in pro-inflammatory macrophages. Interestingly, we did not detect any significant changes in the corresponding NAD(P)H bound fraction. A combination of optical metabolic metrics could be used to classify pro- and anti-inflammatory macrophages with high accuracy. Contributions from alterations in different metabolic pathways may explain our findings, which highlight the potential of label-free two-photon imaging to assess nondestructively macrophage functional state.
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Affiliation(s)
- Isabel S. Smokelin
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
| | - Craig Mizzoni
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
| | - Josh Erndt-Marino
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
| | - David L. Kaplan
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
| | - Irene Georgakoudi
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
- Tufts University, Sackler School of Graduate Biomedical Sciences, Cell, Molecular, and Developmental Biology Program, Boston, Massachusetts, United States
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15
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Bower AJ, Sorrells JE, Li J, Marjanovic M, Barkalifa R, Boppart SA. Tracking metabolic dynamics of apoptosis with high-speed two-photon fluorescence lifetime imaging microscopy. BIOMEDICAL OPTICS EXPRESS 2019; 10:6408-6421. [PMID: 31853407 PMCID: PMC6913390 DOI: 10.1364/boe.10.006408] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 10/22/2019] [Accepted: 11/04/2019] [Indexed: 05/04/2023]
Abstract
Programmed cell death, or apoptosis, is an essential process in development and homeostasis, and disruptions in associated pathways are responsible for a wide variety of diseases such as cancer, developmental abnormalities, and Alzheimer's disease. On the other hand, cell death, in many cases, is the desired outcome of therapeutic treatments targeting diseases such as cancer. Recently, metabolic imaging based on two-photon fluorescence microscopy has been developed and shown to be highly sensitive to certain cell death processes, most notably apoptosis, thus having the potential as an advanced label-free screening tool. However, the typically low acquisition rates of this imaging technique have resulted in a limited throughput approach, allowing only a small population of cells to be tracked at well-separated time points. To address this limitation, a high-speed two-photon fluorescence lifetime imaging microscopy (2P-FLIM) platform capable of video-rate imaging is applied to study and further characterize the metabolic dynamics associated with cell death. Building upon previous work demonstrating the capabilities of this system, this microscope is utilized to study rapid metabolic changes during cell death induction, such as dose-dependency of metabolic response, response in invasive vs. noninvasive cancer cells, and response in an apoptosis-resistant cell line, which is further shown to undergo autophagy in response to toxic stimuli. Results from these experiments show that the early apoptosis-related metabolic dynamics are strongly correlated with important cellular parameters including responsiveness to apoptosis-inducing stimuli. The high speed and sensitivity of the presented imaging approach enables new investigations into this highly dynamic and complex process.
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Affiliation(s)
- Andrew J. Bower
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Janet E. Sorrells
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Joanne Li
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Marina Marjanovic
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Ronit Barkalifa
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Stephen A. Boppart
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
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16
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Borhani N, Bower AJ, Boppart SA, Psaltis D. Digital staining through the application of deep neural networks to multi-modal multi-photon microscopy. BIOMEDICAL OPTICS EXPRESS 2019; 10:1339-1350. [PMID: 30891350 PMCID: PMC6420275 DOI: 10.1364/boe.10.001339] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 02/04/2019] [Accepted: 02/05/2019] [Indexed: 05/21/2023]
Abstract
Deep neural networks have been used to map multi-modal, multi-photon microscopy measurements of a label-free tissue sample to its corresponding histologically stained brightfield microscope colour image. It is shown that the extra structural and functional contrasts provided by using two source modes, namely two-photon excitation microscopy and fluorescence lifetime imaging, result in a more faithful reconstruction of the target haematoxylin and eosin stained mode. This modal mapping procedure can aid histopathologists, since it provides access to unobserved imaging modalities, and translates the high-dimensional numerical data generated by multi-modal, multi-photon microscopy into traditionally accepted visual forms. Furthermore, by combining the strengths of traditional chemical staining and modern multi-photon microscopy techniques, modal mapping enables label-free, non-invasive studies of in vivo tissue samples or intravital microscopic imaging inside living animals. The results show that modal co-registration and the inclusion of spatial variations increase the visual accuracy of the mapped results.
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Affiliation(s)
- Navid Borhani
- Optics Laboratory, School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, CH-1015,
Switzerland
| | - Andrew J. Bower
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801,
USA
- Department of Electrical and Computer Engineering, Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801,
USA
| | - Stephen A. Boppart
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801,
USA
- Department of Electrical and Computer Engineering, Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801,
USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801,
USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801,
USA
| | - Demetri Psaltis
- Optics Laboratory, School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, CH-1015,
Switzerland
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17
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Bower AJ, Li J, Chaney EJ, Marjanovic M, Spillman DR, Boppart SA. High-speed imaging of transient metabolic dynamics using two-photon fluorescence lifetime imaging microscopy. OPTICA 2018; 5:1290-1296. [PMID: 30984802 PMCID: PMC6457362 DOI: 10.1364/optica.5.001290] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Two-photon fluorescence lifetime imaging microscopy (2P-FLIM) of autofluorescent metabolic coenzymes has been widely used to investigate energetic perturbations in living cells and tissues in a label-free manner with subcellular resolution. While the currently used state-of-the-art instruments are highly sensitive to local molecular changes associated with these metabolic processes, they are inherently slow and limit the study of dynamic metabolic environments. Here, a sustained video-rate 2P-FLIM imaging system is demonstrated for time-lapse lifetime imaging of reduced nicotinamide adenine dinucleotide, an autofluorescent metabolic coenzyme involved in both aerobic and anaerobic processes. This system is sufficiently sensitive to differences in metabolic activity between aggressive and nonaggressive cancer cell lines and is demonstrated for both wide field-of-view autofluorescence imaging as well as sustained video-rate image acquisition of metabolic dynamics following induction of apoptosis. The unique capabilities ofthis imaging platform provide a powerful technological advance to further explore rapid metabolic dynamics in living cells.
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Affiliation(s)
- Andrew J. Bower
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. MathewsAve, Urbana, Illinois 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Joanne Li
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. MathewsAve, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Eric J. Chaney
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. MathewsAve, Urbana, Illinois 61801, USA
| | - Marina Marjanovic
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. MathewsAve, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Carle-Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Darold R. Spillman
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. MathewsAve, Urbana, Illinois 61801, USA
| | - Stephen A. Boppart
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. MathewsAve, Urbana, Illinois 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Carle-Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Corresponding author:
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18
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Alturkistany F, Nichani K, Houston KD, Houston JP. Fluorescence lifetime shifts of NAD(P)H during apoptosis measured by time-resolved flow cytometry. Cytometry A 2018; 95:70-79. [PMID: 30369063 PMCID: PMC6587805 DOI: 10.1002/cyto.a.23606] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 08/01/2018] [Accepted: 08/20/2018] [Indexed: 12/16/2022]
Abstract
Autofluorescence from the intracellular metabolite, NAD(P)H, is a biomarker that is widely used and known to reliably screen and report metabolic activity as well as metabolic fluctuations within cells. As a ubiquitous endogenous fluorophore, NAD(P)H has a unique rate of fluorescence decay that is altered when bound to coenzymes. In this work we measure the shift in the fluorescence decay, or average fluorescence lifetime (1–3 ns), of NAD(P)H and correlate this shift to changes in metabolism that cells undergo during apoptosis. Our measurements are made with a flow cytometer designed specifically for fluorescence lifetime acquisition within the ultraviolet to violet spectrum. Our methods involved culture, treatment, and preparation of cells for cytometry and microscopy measurements. The evaluation we performed included observations and quantification of the changes in endogenous emission owing to the induction of apoptosis as well as changes in the decay kinetics of the emission measured by flow cytometry. Shifts in NAD(P)H fluorescence lifetime were observed as early as 15 min post‐treatment with an apoptosis inducing agent. Results also include a phasor analysis to evaluate free to bound ratios of NAD(P)H at different time points. We defined the free to bound ratios as the ratio of ‘short‐to‐long’ (S/L) fluorescence lifetime, where S/L was found to consistently decrease with an increase in apoptosis. With a quantitative framework such as phasor analysis, the short and long lifetime components of NAD(P)H can be used to map the cycling of free and bound NAD(P)H during the early‐to‐late stages of apoptosis. The combination of lifetime screening and phasor analyses provides the first step in high throughput metabolic profiling of single cells and can be leveraged for screening and sorting for a range of applications in biomedicine. © 2018 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.
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Affiliation(s)
| | - Kapil Nichani
- Chemical & Materials Engineering, New Mexico State University, Las Cruces, New Mexico
| | - Kevin D Houston
- Chemistry & Biochemistry, New Mexico State University, Las Cruces, New Mexico.,Molecular Biology, New Mexico State University, Las Cruces, New Mexico
| | - Jessica P Houston
- Chemical & Materials Engineering, New Mexico State University, Las Cruces, New Mexico.,Molecular Biology, New Mexico State University, Las Cruces, New Mexico
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19
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Liu Z, Pouli D, Alonzo CA, Varone A, Karaliota S, Quinn KP, Münger K, Karalis KP, Georgakoudi I. Mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast. SCIENCE ADVANCES 2018; 4:eaap9302. [PMID: 29536043 PMCID: PMC5846284 DOI: 10.1126/sciadv.aap9302] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Monitoring subcellular functional and structural changes associated with metabolism is essential for understanding healthy tissue development and the progression of numerous diseases, including cancer, diabetes, and cardiovascular and neurodegenerative disorders. Unfortunately, established methods for this purpose either are destructive or require the use of exogenous agents. Recent work has highlighted the potential of endogenous two-photon excited fluorescence (TPEF) as a method to monitor subtle metabolic changes; however, mechanistic understanding of the connections between the detected optical signal and the underlying metabolic pathways has been lacking. We present a quantitative approach to detecting both functional and structural metabolic biomarkers noninvasively, relying on endogenous TPEF from two coenzymes, NADH (reduced form of nicotinamide adenine dinucleotide) and FAD (flavin adenine dinucleotide). We perform multiparametric analysis of three optical biomarkers within intact, living cells and three-dimensional tissues: cellular redox state, NADH fluorescence lifetime, and mitochondrial clustering. We monitor the biomarkers in cells and tissues subjected to metabolic perturbations that trigger changes in distinct metabolic processes, including glycolysis and glutaminolysis, extrinsic and intrinsic mitochondrial uncoupling, and fatty acid oxidation and synthesis. We demonstrate that these optical biomarkers provide complementary insights into the underlying biological mechanisms. Thus, when used in combination, these biomarkers can serve as a valuable tool for sensitive, label-free identification of changes in specific metabolic pathways and characterization of the heterogeneity of the elicited responses with single-cell resolution.
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Affiliation(s)
- Zhiyi Liu
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
| | - Dimitra Pouli
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
| | - Carlo A. Alonzo
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
| | - Antonio Varone
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
| | | | - Kyle P. Quinn
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA
| | - Karl Münger
- Developmental, Molecular and Chemical Biology, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA 02111, USA
| | - Katia P. Karalis
- Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
- Corresponding author.
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20
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Li J, Bower AJ, Arp Z, Olson EJ, Holland C, Chaney EJ, Marjanovic M, Pande P, Alex A, Boppart SA. Investigating the healing mechanisms of an angiogenesis-promoting topical treatment for diabetic wounds using multimodal microscopy. JOURNAL OF BIOPHOTONICS 2018; 11:10.1002/jbio.201700195. [PMID: 28980425 PMCID: PMC5839957 DOI: 10.1002/jbio.201700195] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 09/25/2017] [Accepted: 10/02/2017] [Indexed: 05/16/2023]
Abstract
Impaired skin wound healing is a significant comorbid condition of diabetes that is caused by poor microcirculation, among other factors. Studies have shown that angiogenesis, a critical step in the wound healing process in diabetic wounds, can be promoted under hypoxia. In this study, an angiogenesis-promoting topical treatment for diabetic wounds, which promotes angiogenesis by mimicking a hypoxic environment via inhibition of prolyl hydroxylase resulting in elevation or maintenance of hypoxia-inducible factor, was investigated utilizing a custom-built multimodal microscopy system equipped with phase-variance optical coherence tomography (PV-OCT) and fluorescence lifetime imaging microscopy (FLIM). PV-OCT was used to track the regeneration of the microvasculature network, and FLIM was used to assess the in vivo metabolic response of mouse epidermal keratinocytes to the treatment during healing. Results show a significant decrease in the fluorescence lifetime of intracellular reduced nicotinamide adenine dinucleotide, suggesting a hypoxic-like environment in the wounded skin, followed by a quantitative increase in blood vessel density assessed by PV-OCT. Insights gained in these studies could lead to new endpoints for evaluation of the efficacy and healing mechanisms of wound-healing drugs in a setting where delayed healing does not permit available methods for evaluation to take place.
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Affiliation(s)
- Joanne Li
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana IL, United States
| | - Andrew J. Bower
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Zane Arp
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States
- Discovery Medicine, HF DPU, GlaxoSmithKline, King of Prussia, PA, United States
| | - Eric J. Olson
- Discovery Medicine, HF DPU, GlaxoSmithKline, King of Prussia, PA, United States
| | - Claire Holland
- Discovery Medicine, HF DPU, GlaxoSmithKline, King of Prussia, PA, United States
| | - Eric J. Chaney
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States
| | - Marina Marjanovic
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana IL, United States
| | - Paritosh Pande
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States
| | - Aneesh Alex
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States
- Discovery Medicine, HF DPU, GlaxoSmithKline, King of Prussia, PA, United States
| | - Stephen A. Boppart
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana IL, United States
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- Department of Internal Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States
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21
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Awasthi K, Nakabayashi T, Li L, Ohta N. Effects of Nanosecond Pulsed Electric Field on Intracellular NADH Autofluorescence: A Comparison between Normal and Cancer Cells. ACS OMEGA 2017; 2:2916-2924. [PMID: 30023680 PMCID: PMC6044780 DOI: 10.1021/acsomega.7b00315] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 06/09/2017] [Indexed: 06/08/2023]
Abstract
Intracellular fluorescence lifetime and intensity images of the endogenous fluorophore of nicotinamide adenine dinucleotide (NADH) have been observed before and after application of nanosecond pulsed electric field (nsPEF) in normal and cancer cells, that is, in Wistar-King-Aptekman rat fetus fibroblast (WFB) cells and W31 cells, which are the malignant transformed cells from WFB. The application of nsPEF induces a change both in intensity and lifetime of NADH, indicating that the intracellular function is affected by application of nsPEF in both normal and cancer cells. The application of nsPEF induces an increase in the fluorescence lifetime of NADH and a morphological change, which is attributed to the induction of apoptosis by nsPEF. The field effect on the intensity and lifetime clearly depends on the pulse width, and magnitude of the field-induced increase in the fluorescence lifetime of NADH has a tendency to increase with a decreasing pulse width. It is also found that apoptosis can be induced only in cancer cells using a suitable nsPEF, showing a possibility that ultrashort pulsed electric field is applicable for drug-free cancer therapy.
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Affiliation(s)
- Kamlesh Awasthi
- Department
of Applied Chemistry and Institute of Molecular Science, National Chiao Tung University, 1001, Ta-Hsueh Road, Hsinchu 30010, Taiwan
| | - Takakazu Nakabayashi
- Graduate
School of Pharmaceutical Sciences, Tohoku
University, Aoba-ku, Sendai 980-8578, Japan
| | - Liming Li
- Department
of Bio- and Material Photonics, Chitose
Institute of Science and Technology, Chitose 066-8655, Japan
| | - Nobuhiro Ohta
- Department
of Applied Chemistry and Institute of Molecular Science, National Chiao Tung University, 1001, Ta-Hsueh Road, Hsinchu 30010, Taiwan
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22
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Bower AJ, Chidester B, Li J, Zhao Y, Marjanovic M, Chaney EJ, Do MN, Boppart SA. A quantitative framework for the analysis of multimodal optical microscopy images. Quant Imaging Med Surg 2017; 7:24-37. [PMID: 28275557 DOI: 10.21037/qims.2017.02.07] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Multimodal optical microscopy, a set of imaging techniques based on unique, yet complementary contrast mechanisms and spatially and temporally co-registered data acquisition, has emerged as a powerful biomedical tool. However, the analysis of the dense, high-dimensional datasets acquired by these instruments remains mostly qualitative and restricted to analysis of each modality individually. METHODS Using a custom-built multimodal nonlinear optical microscope, high dimensional datasets were acquired for automated classification of functional cell states as well as identification of histopathological features in tissues slices. Supervised classification of cell death modes was performed through support vector machines (SVM) and semi-supervised classification of tissue slices was performed through the use of the expectation maximization (EM) algorithm. RESULTS Applications of these techniques to the automated classification of cell death modes as well as to the identification of tissue components in fixed ex vivo tissue slices are presented. The analysis techniques developed provide a direct link between multimodal image contrast and biological structure and function, resulting in highly accurate classification in both settings. CONCLUSIONS Quantification of multimodal optical microscopy images through statistical modeling of the high dimensional data acquired gives a strong correlation between biological structure and function and image contrast. These methods are sensitive to the identification of diagnostic, cellular-level features important in a variety of clinical settings.
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Affiliation(s)
- Andrew J Bower
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Benjamin Chidester
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Joanne Li
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Youbo Zhao
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Marina Marjanovic
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Eric J Chaney
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Minh N Do
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Stephen A Boppart
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Internal Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA
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