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Jeon H, Harvey M, Cisek R, Bennett E, Tokarz D. Characterization of pathological stomach tissue using polarization-sensitive second harmonic generation microscopy. BIOMEDICAL OPTICS EXPRESS 2023; 14:5376-5391. [PMID: 37854565 PMCID: PMC10581783 DOI: 10.1364/boe.500335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/16/2023] [Accepted: 09/09/2023] [Indexed: 10/20/2023]
Abstract
Alterations in collagen ultrastructure between human gastric adenocarcinoma and normal gastric tissue were investigated using polarization-resolved second harmonic generation (PSHG) microscopy. Cylindrical and trigonal symmetries were assumed to extract quantitative PSHG parameters, ρ, κ and S, from each image pixel. Statistically significant variations in these values were observed for gastric adenocarcinoma, indicating a higher disorder of collagen. Numerical focal volume simulations of crossing fibrils indicate increased S parameter is due to more intersecting collagen fibrils of varying diameters. These parameters were also able to distinguish between different grades of gastric adenocarcinoma indicating that PSHG may be useful for automated cancer diagnosis.
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Affiliation(s)
- Hwanhee Jeon
- Department of Chemistry, Saint Mary’s University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada
| | - MacAulay Harvey
- Department of Chemistry, Saint Mary’s University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada
| | - Richard Cisek
- Department of Chemistry, Saint Mary’s University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada
| | - Elisha Bennett
- Department of Chemistry, Saint Mary’s University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada
| | - Danielle Tokarz
- Department of Chemistry, Saint Mary’s University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada
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2
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Schnelldorfer T, Gnanatheepam E, Trout R, Gado A, Pelletier JE, Dinh LT, Hunter M, Georgakoudi I. Evaluation of a polarization-enhanced laparoscopy prototype for improved intra-operative visualization of peritoneal metastases. Sci Rep 2023; 13:14892. [PMID: 37689765 PMCID: PMC10492843 DOI: 10.1038/s41598-023-41361-5] [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: 12/16/2022] [Accepted: 08/25/2023] [Indexed: 09/11/2023] Open
Abstract
Despite careful staging, the accuracy for preoperative detection of small distant metastases remains poor, creating a clinical need for enhanced operative staging to detect occult peritoneal metastases. This study evaluates a polarization-enhanced laparoscopy (PEL) prototype and assesses its potential for label-free contrast enhancement of peritoneal metastases. This is a first-in-human feasibility study, including 10 adult patients who underwent standard staging laparoscopy (SSL) for gastrointestinal malignancy along with PEL. Image frames of all detectable peritoneal lesions underwent analysis. Using Monte Carlo simulations, contrast enhancement based on the color dependence of PEL (mPEL) was assessed. The prototype performed safely, yet with limitations in illumination, fogging of the distal window, and image co-registration. Sixty-five lesions (56 presumed benign and 9 presumed malignant) from 3 patients represented the study sample. While most lesions were visible under human examination of both SSL and PEL videos, more lesions were apparent using SSL. However, this was likely due to reduced illumination under PEL. When controlling for such effects through direct comparisons of integrated (WLL) vs differential (PEL) polarization laparoscopy images, we found that PEL imaging yielded an over twofold Weber contrast enhancement over WLL. Further, enhancements in the discrimination between malignant and benign lesions were achieved by exploiting the PEL color contrast to enhance sensitivity to tissue scattering, influenced primarily by collagen. In conclusion, PEL appears safe and easy to integrate into the operating room. When controlling for the degree of illumination, image analysis suggested a potential for mPEL to provide improved visualization of metastases.
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Affiliation(s)
- Thomas Schnelldorfer
- Division of Surgical Oncology, Tufts Medical Center, 800 Washington St, Boston, MA, 02111, USA.
- Department of Translational Research, Lahey Hospital and Medical Center, 31 Mall Road, Burlington, MA, 01805, USA.
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA.
| | - Einstein Gnanatheepam
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
| | - Robert Trout
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Department of Biomedical Engineering, Duke University, 101 Science Drive, Durham, NC, 27708, USA
| | - Ahmed Gado
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Google LLC, San Francisco, CA, 94105-1673, USA
| | - Joyce-Ellen Pelletier
- Department of Translational Research, Lahey Hospital and Medical Center, 31 Mall Road, Burlington, MA, 01805, USA
| | - Long T Dinh
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
| | - Martin Hunter
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Department of Biomedical Engineering, S684 LSL, University of Massachusetts at Amherst, 240 Thatcher Road, Amherst, MA, 01003, USA
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, 200 College Avenue, Medford, MA, 02155, USA
- Genetics, Molecular and Cellular Biology Program, Graduate School of Biomedical Sciences, Tufts University, Boston, MA, 02111, USA
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Gertych A, Walts AE, Cheng K, Liu M, John J, Lester J, Karlan BY, Orsulic S. Dynamic Changes in the Extracellular Matrix in Primary, Metastatic, and Recurrent Ovarian Cancers. Cells 2022; 11:3769. [PMID: 36497028 PMCID: PMC9736731 DOI: 10.3390/cells11233769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/21/2022] [Accepted: 11/24/2022] [Indexed: 11/29/2022] Open
Abstract
Cancer-associated fibroblasts (CAFs) and their extracellular matrix are active participants in cancer progression. While it is known that functionally different subpopulations of CAFs co-exist in ovarian cancer, it is unclear whether certain CAF subsets are enriched during metastatic progression and/or chemotherapy. Using computational image analyses of patient-matched primary high-grade serous ovarian carcinomas, synchronous pre-chemotherapy metastases, and metachronous post-chemotherapy metastases from 42 patients, we documented the dynamic spatiotemporal changes in the extracellular matrix, fibroblasts, epithelial cells, immune cells, and CAF subsets expressing different extracellular matrix components. Among the different CAF subsets, COL11A1+ CAFs were associated with linearized collagen fibers and exhibited the greatest enrichment in pre- and post-chemotherapy metastases compared to matched primary tumors. Although pre- and post-chemotherapy metastases were associated with increased CD8+ T cell infiltration, the infiltrate was not always evenly distributed between the stroma and cancer cells, leading to an increased frequency of the immune-excluded phenotype where the majority of CD8+ T cells are present in the tumor stroma but absent from the tumor parenchyma. Overall, most of the differences in the tumor microenvironment were observed between primary tumors and metastases, while fewer differences were observed between pre- and post-treatment metastases. These data suggest that the tumor microenvironment is largely determined by the primary vs. metastatic location of the tumor while chemotherapy does not have a significant impact on the host microenvironment.
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Affiliation(s)
- Arkadiusz Gertych
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Faculty of Biomedical Engineering, Silesian University of Technology, 44-100 Zabrze, Poland
| | - Ann E. Walts
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Keyi Cheng
- Department of Mathematics, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Manyun Liu
- Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30458, USA
| | - Joshi John
- Department of Veterans Affairs, Greater Los Angeles Healthcare System, Los Angeles, CA 90095, USA
| | - Jenny Lester
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Beth Y. Karlan
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Sandra Orsulic
- Department of Veterans Affairs, Greater Los Angeles Healthcare System, Los Angeles, CA 90095, USA
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA 90095, USA
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Trout RM, Gnanatheepam E, Gado A, Reik C, Ramella-Roman JC, Hunter M, Schnelldorfer T, Georgakoudi I. Polarization enhanced laparoscope for improved visualization of tissue structural changes associated with peritoneal cancer metastasis. BIOMEDICAL OPTICS EXPRESS 2022; 13:571-589. [PMID: 35284190 PMCID: PMC8884200 DOI: 10.1364/boe.443926] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 12/17/2021] [Accepted: 12/20/2021] [Indexed: 06/03/2023]
Abstract
A polarization enhanced laparoscopy (PEL) imaging system was developed to examine the feasibility of utilizing PEL to augment conventional white light laparoscopy (WLL) in the visualization of peritoneal cancer metastases. The system includes a modified tip to illuminate tissue with linearly polarized light and elements in the detection path enabling recording of corresponding images linearly co- and cross-polarized relative to the incident light. WLL and PEL images from optical tissue phantoms with features of distinct scattering cross-section confirm the enhanced sensitivity of PEL to such characteristics. Additional comparisons based on images acquired from collagen gels with different levels of fiber alignment highlight another source of PEL contrast. Finally, PEL and WLL images of ex vivo human tissue illustrate the potential of PEL to improve visualization of cancerous tissue surrounded by healthy peritoneum. Given the simplicity of the approach and its potential for seamless integration with current clinical practice, our results provide motivation for clinical translation.
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Affiliation(s)
- Robert M. Trout
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
| | - Einstein Gnanatheepam
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
| | - Ahmed Gado
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
| | - Christopher Reik
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
| | | | - Martin Hunter
- Department of Biomedical Engineering, University of Massachusetts at Amherst, Amherst, MA, USA
| | - Thomas Schnelldorfer
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
- Division of Surgical Oncology, Tufts Medical Center, 800 Washington St, Boston, MA 02111, USA
- Contributed equally
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA 01255, USA
- Contributed equally
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5
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Machine Learning: Applications and Advanced Progresses of Radiomics in Endocrine Neoplasms. JOURNAL OF ONCOLOGY 2021; 2021:8615450. [PMID: 34671399 PMCID: PMC8523238 DOI: 10.1155/2021/8615450] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 07/13/2021] [Accepted: 09/20/2021] [Indexed: 12/24/2022]
Abstract
Endocrine neoplasms remain a great threat to human health. It is extremely important to make a clear diagnosis and timely treatment of endocrine tumors. Machine learning includes radiomics, which has long been utilized in clinical cancer research. Radiomics refers to the extraction of valuable information by analyzing a large amount of standard data with high-throughput medical images mainly including computed tomography, positron emission tomography, magnetic resonance imaging, and ultrasound. With the quantitative imaging analysis and model building, radiomics can reflect specific underlying characteristics of a disease that otherwise could not be evaluated visually. More and more promising results of radiomics in oncological practice have been seen in recent years. Radiomics may have the potential to supplement traditional imaging analysis and assist in providing precision medicine for patients. Radiomics had developed rapidly in endocrine neoplasms practice in the past decade. In this review, we would introduce the general workflow of radiomics and summarize the applications and developments of radiomics in endocrine neoplasms in recent years. The limitations of current radiomic research studies and future development directions would also be discussed.
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Borile G, Sandrin D, Filippi A, Anderson KI, Romanato F. Label-Free Multiphoton Microscopy: Much More Than Fancy Images. Int J Mol Sci 2021; 22:2657. [PMID: 33800802 PMCID: PMC7961783 DOI: 10.3390/ijms22052657] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 02/19/2021] [Accepted: 03/02/2021] [Indexed: 02/07/2023] Open
Abstract
Multiphoton microscopy has recently passed the milestone of its first 30 years of activity in biomedical research. The growing interest around this approach has led to a variety of applications from basic research to clinical practice. Moreover, this technique offers the advantage of label-free multiphoton imaging to analyze samples without staining processes and the need for a dedicated system. Here, we review the state of the art of label-free techniques; then, we focus on two-photon autofluorescence as well as second and third harmonic generation, describing physical and technical characteristics. We summarize some successful applications to a plethora of biomedical research fields and samples, underlying the versatility of this technique. A paragraph is dedicated to an overview of sample preparation, which is a crucial step in every microscopy experiment. Afterwards, we provide a detailed review analysis of the main quantitative methods to extract important information and parameters from acquired images using second harmonic generation. Lastly, we discuss advantages, limitations, and future perspectives in label-free multiphoton microscopy.
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Affiliation(s)
- Giulia Borile
- Laboratory of Optics and Bioimaging, Institute of Pediatric Research Città della Speranza, 35127 Padua, Italy;
- Department of Physics and Astronomy “G. Galilei”, University of Padua, 35131 Padua, Italy; (D.S.); (A.F.)
| | - Deborah Sandrin
- Department of Physics and Astronomy “G. Galilei”, University of Padua, 35131 Padua, Italy; (D.S.); (A.F.)
- L.I.F.E.L.A.B. Program, Consorzio per la Ricerca Sanitaria (CORIS), Veneto Region, 35128 Padua, Italy
| | - Andrea Filippi
- Department of Physics and Astronomy “G. Galilei”, University of Padua, 35131 Padua, Italy; (D.S.); (A.F.)
| | - Kurt I. Anderson
- Crick Advanced Light Microscopy Facility (CALM), The Francis Crick Institute, London NW1 1AT, UK;
| | - Filippo Romanato
- Laboratory of Optics and Bioimaging, Institute of Pediatric Research Città della Speranza, 35127 Padua, Italy;
- Department of Physics and Astronomy “G. Galilei”, University of Padua, 35131 Padua, Italy; (D.S.); (A.F.)
- L.I.F.E.L.A.B. Program, Consorzio per la Ricerca Sanitaria (CORIS), Veneto Region, 35128 Padua, Italy
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7
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Pouli D, Thieu HT, Genega EM, Baecher-Lind L, House M, Bond B, Roncari DM, Evans ML, Rius-Diaz F, Munger K, Georgakoudi I. Label-free, High-Resolution Optical Metabolic Imaging of Human Cervical Precancers Reveals Potential for Intraepithelial Neoplasia Diagnosis. CELL REPORTS MEDICINE 2020; 1. [PMID: 32577625 PMCID: PMC7311071 DOI: 10.1016/j.xcrm.2020.100017] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
While metabolic changes are considered a cancer hallmark, their assessment has not been incorporated in the detection of early or precancers, when treatment is most effective. Here, we demonstrate that metabolic changes are detected in freshly excised human cervical precancerous tissues using label-free, non-destructive imaging of the entire epithelium. The images rely on two-photon excited fluorescence from two metabolic co-enzymes, NAD(P)H and FAD, and have micron-level resolution, enabling sensitive assessments of the redox ratio and mitochondrial fragmentation, which yield metrics of metabolic function and heterogeneity. Simultaneous characterization of morphological features, such as the depth-dependent variation of the nuclear:cytoplasmic ratio, is demonstrated. Multi-parametric analysis combining several metabolic metrics with morphological ones enhances significantly the diagnostic accuracy of identifying high-grade squamous intraepithelial lesions. Our results motivate the translation of such functional metabolic imaging to in vivo studies, which may enable improved identification of cervical lesions, and other precancers, at the bedside.
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Affiliation(s)
- Dimitra Pouli
- Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.,Present address: Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA 02115, USA
| | - Hong-Thao Thieu
- Department of Obstetrics and Gynecology, Tufts University School of Medicine, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Elizabeth M Genega
- Department of Pathology and Laboratory Medicine, Tufts University School of Medicine, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Laura Baecher-Lind
- Department of Obstetrics and Gynecology, Tufts University School of Medicine, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Michael House
- Department of Obstetrics and Gynecology, Tufts University School of Medicine, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Brian Bond
- Department of Obstetrics and Gynecology, Tufts University School of Medicine, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA.,Present address: Department of Obstetrics and Gynecology, University of Massachusetts School of Medicine, 55 Lake Avenue North, Worcester, MA 01655, USA
| | - Danielle M Roncari
- Department of Obstetrics and Gynecology, Tufts University School of Medicine, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Megan L Evans
- Department of Obstetrics and Gynecology, Tufts University School of Medicine, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Francisca Rius-Diaz
- Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Málaga, 32 Louis Pasteur Boulevard, 29071 Málaga, Spain
| | - Karl Munger
- Department of Developmental, Molecular, and Chemical Biology, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA 02111, USA
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.,Lead Contact
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Zhang Y, Baloglu FK, Ziemer LEH, Liu Z, Lyu B, Arendt LM, Georgakoudi I. Factors associated with obesity alter matrix remodeling in breast cancer tissues. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-14. [PMID: 31983145 PMCID: PMC6982464 DOI: 10.1117/1.jbo.25.1.014513] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 12/23/2019] [Indexed: 06/10/2023]
Abstract
Obesity is associated with a higher risk of developing breast cancer and with worse disease outcomes for women of all ages. The composition, density, and organization of the breast tissue stroma are also known to play an important role in the development and progression of the disease. However, the connections between obesity and stromal remodeling are not well understood. We sought to characterize detailed organization features of the collagen matrix within healthy and cancerous breast tissues acquired from mice exposed to either a normal or high fat (obesity inducing) diet. We performed second-harmonic generation and spectral two-photon excited fluorescence imaging, and we extracted the level of collagen-associated fluorescence (CAF) along with metrics of collagen content, three-dimensional, and two-dimensional organization. There were significant differences in the CAF intensity and overall collagen organization between normal and tumor tissues; however, obesity-enhanced changes in these metrics, especially when three-dimensional organization metrics were considered. Thus, our studies indicate that obesity impacts significantly collagen organization and structure and the related pathways of communication may be important future therapeutic targets.
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Affiliation(s)
- Yang Zhang
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
| | - Fatma Kucuk Baloglu
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
- Giresun University, Department of Biology, Giresun, Turkey
| | - Lauren E. Hillers Ziemer
- University of Wisconsin–Madison, Department of Comparative Biosciences, Madison, Wisconsin, United States
| | - Zhiyi Liu
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
- Zhejiang University, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Hangzhou, Zhejiang, China
| | - Boyang Lyu
- Tufts University, Department of Electrical Engineering, Medford, Massachusetts, United States
| | - Lisa M. Arendt
- University of Wisconsin–Madison, Department of Comparative Biosciences, Madison, Wisconsin, United States
| | - Irene Georgakoudi
- Tufts University, Department of Biomedical Engineering, Medford, Massachusetts, United States
- Tufts University, Program in Cell, Molecular & Developmental Biology, Graduate School of Biomedical Sciences, Boston, Massachusetts, United States
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