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Comeau ES, Vander Horst MA, Raeman CH, Child SZ, Hocking DC, Dalecki D. In vivo acoustic patterning of endothelial cells for tissue vascularization. Sci Rep 2023; 13:16082. [PMID: 37752255 PMCID: PMC10522665 DOI: 10.1038/s41598-023-43299-0] [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: 07/16/2023] [Accepted: 09/21/2023] [Indexed: 09/28/2023] Open
Abstract
Strategies to fabricate microvascular networks that structurally and functionally mimic native microvessels are needed to address a host of clinical conditions associated with tissue ischemia. The objective of this work was to advance a novel ultrasound technology to fabricate complex, functional microvascular networks directly in vivo. Acoustic patterning utilizes forces within an ultrasound standing wave field (USWF) to organize cells or microparticles volumetrically into defined geometric assemblies. A dual-transducer system was developed to generate USWFs site-specifically in vivo through interference of two ultrasound fields. The system rapidly patterned injected cells or microparticles into parallel sheets within collagen hydrogels in vivo. Acoustic patterning of injected endothelial cells within flanks of immunodeficient mice gave rise to perfused microvessels within 7 days of patterning, whereas non-patterned cells did not survive. Thus, externally-applied ultrasound fields guided injected endothelial cells to self-assemble into perfused microvascular networks in vivo. These studies advance acoustic patterning towards in vivo tissue engineering by providing the first proof-of-concept demonstration that non-invasive, ultrasound-mediated cell patterning can be used to fabricate functional microvascular networks directly in vivo.
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Affiliation(s)
- Eric S Comeau
- Department of Biomedical Engineering, University of Rochester, 308 Goergen Hall, P.O. Box 270168, Rochester, NY, 14627, USA
| | - Melinda A Vander Horst
- Department of Biomedical Engineering, University of Rochester, 308 Goergen Hall, P.O. Box 270168, Rochester, NY, 14627, USA
| | - Carol H Raeman
- Department of Biomedical Engineering, University of Rochester, 308 Goergen Hall, P.O. Box 270168, Rochester, NY, 14627, USA
| | - Sally Z Child
- Department of Biomedical Engineering, University of Rochester, 308 Goergen Hall, P.O. Box 270168, Rochester, NY, 14627, USA
| | - Denise C Hocking
- Department of Biomedical Engineering, University of Rochester, 308 Goergen Hall, P.O. Box 270168, Rochester, NY, 14627, USA
- Department of Pharmacology and Physiology, University of Rochester, 601 Elmwood Avenue, Box 711, Rochester, NY, 14642, USA
| | - Diane Dalecki
- Department of Biomedical Engineering, University of Rochester, 308 Goergen Hall, P.O. Box 270168, Rochester, NY, 14627, USA.
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Nan Z, Liu H, Shi L, Zhu H, Chen J, Ilovitsh T, Wu D, Wan M, Feng Y. Ratiometric Fluorescent Detection of Ultrasound-Regulated ATP Release: An Ultrasound-Resistant Cu,N-Doped Carbon Nanosphere. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37365929 DOI: 10.1021/acsami.3c05720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
Focused ultrasound, as a protocol of cancer therapy, might induce extracellular adenosine triphosphate (ATP) release, which could enhance cancer immunotherapy and be monitored as a therapeutic marker. To achieve an ATP-detecting probe resistant to ultrasound irradiation, we constructed a Cu/N-doped carbon nanosphere (CNS), which has two fluorescence (FL) emissions at 438 and 578 nm to detect ultrasound-regulated ATP release. The addition of ATP to Cu/N-doped CNS was conducted to recover the FL intensity at 438 nm, where ATP enhanced the FL intensity probably via intramolecular charge transfer (ICT) primarily and hydrogen-bond-induced emission (HBIE) secondarily. The ratiometric probe was sensitive to detect micro ATP (0.2-0.6 μM) with the limit of detection (LOD) of 0.068 μM. The detection of ultrasound-regulated ATP release by Cu,N-CNS/RhB showed that ATP release was enhanced by the long-pulsed ultrasound irradiation at 1.1 MHz (+37%, p < 0.01) and reduced by the short-pulsed ultrasound irradiation at 5 MHz (-78%, p < 0.001). Moreover, no significant difference in ATP release was detected between the control group and the dual-frequency ultrasound irradiation group (+4%). It is consistent with the results of ATP detection by the ATP-kit. Besides, all-ATP detection was developed to prove that the CNS had ultrasound-resistant properties, which means it could bear the irradiation of focused ultrasound in different patterns and detect all-ATP in real time. In the study, the ultrasound-resistant probe has the advantages of simple preparation, high specificity, low limit of detection, good biocompatibility, and cell imaging ability. It has great potential to act as a multifunctional ultrasound theranostic agent for simultaneous ultrasound therapy, ATP detection, and monitoring.
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Affiliation(s)
- Zhezhu Nan
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
| | - Hengyu Liu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
| | - Linrong Shi
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
| | - Hongrui Zhu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
| | - Junjie Chen
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
| | - Tali Ilovitsh
- Department of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Daocheng Wu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
| | - Mingxi Wan
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
| | - Yi Feng
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
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Sebastian JA, Strohm EM, Baranger J, Villemain O, Kolios MC, Simmons CA. Assessing engineered tissues and biomaterials using ultrasound imaging: In vitro and in vivo applications. Biomaterials 2023; 296:122054. [PMID: 36842239 DOI: 10.1016/j.biomaterials.2023.122054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 01/24/2023] [Accepted: 02/11/2023] [Indexed: 02/18/2023]
Abstract
Quantitative assessment of the structural, functional, and mechanical properties of engineered tissues and biomaterials is fundamental to their development for regenerative medicine applications. Ultrasound (US) imaging is a non-invasive, non-destructive, and cost-effective technique capable of longitudinal and quantitative monitoring of tissue structure and function across centimeter to sub-micron length scales. Here we present the fundamentals of US to contextualize its application for the assessment of biomaterials and engineered tissues, both in vivo and in vitro. We review key studies that demonstrate the versatility and broad capabilities of US for clinical and pre-clinical biomaterials research. Finally, we highlight emerging techniques that further extend the applications of US, including for ultrafast imaging of biomaterials and engineered tissues in vivo and functional monitoring of stem cells, organoids, and organ-on-a-chip systems in vitro.
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Affiliation(s)
- Joseph A Sebastian
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada; Translational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, Canada.
| | - Eric M Strohm
- Translational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, Canada; Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada
| | - Jérôme Baranger
- Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Olivier Villemain
- Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Michael C Kolios
- Department of Physics, Toronto Metropolitan University, Toronto, Canada; Institute of Biomedical Engineering, Science and Technology (iBEST), A Partnership Between Toronto Metropolitan University and St. Michael's Hospital, Toronto, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | - Craig A Simmons
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada; Translational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, Canada; Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
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Sebastian JA, Strohm EM, Chérin E, Mirani B, Démoré CEM, Kolios MC, Simmons CA. High-frequency quantitative ultrasound for the assessment of the acoustic properties of engineered tissues in vitro. Acta Biomater 2023; 157:288-296. [PMID: 36521676 DOI: 10.1016/j.actbio.2022.12.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 11/07/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
Acoustic properties of biomaterials and engineered tissues reflect their structure and cellularity. High-frequency ultrasound (US) can non-invasively characterize and monitor these properties with sub-millimetre resolution. We present an approach to estimate the speed of sound, acoustic impedance, and acoustic attenuation of cell-laden hydrogels that accounts for frequency-dependent effects of attenuation in coupling media, hydrogel thickness, and interfacial transmission/reflection coefficients of US waves, all of which can bias attenuation estimates. Cell-seeded fibrin hydrogel disks were raster-scanned using a 40 MHz US transducer. Thickness, speed of sound, acoustic impedance, and acoustic attenuation coefficients were determined from the difference in the time-of-flight and ratios of the magnitudes of US signals, interfacial transmission/reflection coefficients, and acoustic properties of the coupling media. With this approach, hydrogel thickness was accurately measured by US, with agreement to confocal microscopy (r2 = 0.97). Accurate thickness measurement enabled acoustic property measurements that were independent of hydrogel thickness, despite up to 60% reduction in thickness due to cell-mediated contraction. Notably, acoustic attenuation coefficients increased with increasing cell concentration (p < 0.001), reflecting hydrogel cellularity independent of contracted hydrogel thickness. This approach enables accurate measurement of the intrinsic acoustic properties of biomaterials and engineered tissues to provide new insights into their structure and cellularity. STATEMENT OF SIGNIFICANCE: High-frequency ultrasound can measure the acoustic properties of engineered tissues non-invasively and non-destructively with µm-scale resolution. Acoustic properties, including acoustic attenuation, are related to intrinsic material properties, such as scatterer density. We developed an analytical approach to estimate the acoustic properties of cell-laden hydrogels that accounts for the frequency-dependent effects of attenuation in coupling media, the reflection/transmission of ultrasound waves at the coupling interfaces, and the dependency of measurements on hydrogel thickness. Despite up to 60% reduction in hydrogel thickness due to cell-mediated contraction, our approach enabled measurements of acoustic properties that were substantially independent of thickness. Acoustic attenuation increased significantly with increasing cell concentration (p < 0.001), demonstrating the ability of acoustic attenuation to reflect intrinsic physical properties of engineered tissues.
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Affiliation(s)
- Joseph A Sebastian
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada; Translational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, Canada.
| | - Eric M Strohm
- Department of Physics, Toronto Metropolitan University, Toronto, Canada; Institute of Biomedical Engineering, Science and Technology (iBEST), A Partnership Between Toronto Metropolitan University and St. Michael's Hospital, Toronto, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | | | - Bahram Mirani
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada; Translational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, Canada; Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada
| | - Christine E M Démoré
- Sunnybrook Research Institute, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Michael C Kolios
- Department of Physics, Toronto Metropolitan University, Toronto, Canada; Institute of Biomedical Engineering, Science and Technology (iBEST), A Partnership Between Toronto Metropolitan University and St. Michael's Hospital, Toronto, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | - Craig A Simmons
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada; Translational Biology and Engineering Program, Ted Rogers Center for Heart Research, Toronto, Canada; Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
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Heo J, Biswas D, Park KK, Son D, Park HJ, Baac HW. Laser-generated focused ultrasound transducer using a perforated photoacoustic lens for tissue characterization. BIOMEDICAL OPTICS EXPRESS 2021; 12:1375-1390. [PMID: 33796360 PMCID: PMC7984797 DOI: 10.1364/boe.416884] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 01/20/2021] [Accepted: 01/21/2021] [Indexed: 05/08/2023]
Abstract
We demonstrate a laser-generated focused ultrasound (LGFU) transducer using a perforated-photoacoustic (PA) lens and a piezoelectric probe hydrophone suitable for high-frequency ultrasound tissue characterization. The perforated-PA lens employed a centrally located hydrophone to achieve a maximum directional response at 0° from the axial direction of the lens. Under pulsed laser irradiation, the lens produced LGFU pulses with a frequency bandwidth of 6-30 MHz and high-peak pressure amplitudes of up to 46.5 MPa at a 70-µm lateral focal width. Since the hydrophone capable of covering the transmitter frequency range (∼20 MHz) was integrated with the lens, this hybrid transducer differentiated tissue elasticity by generating and detecting high-frequency ultrasound signals. Backscattered (BS) waves from excised tissues (bone, skin, muscle, and fat) were measured and also confirmed by laser-flash shadowgraphy. We characterized the LGFU-BS signals in terms of mean frequency and spectral energy in the frequency domain, enabling to clearly differentiate tissue types. Tissue characterization was also performed with respect to the LGFU penetration depth (from the surface, 1-, and 2-mm depth). Despite acoustic attenuation over the penetration depth, LGFU-BS characterization shows consistent results that can differentiate the elastic properties of tissues. We expect that the proposed transducer can be utilized for other tissue types and also for non-destructive evaluation based on the elasticity of unknown materials.
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Affiliation(s)
- Jeongmin Heo
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- These authors equally contributed to this work
| | - Deblina Biswas
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- These authors equally contributed to this work
| | - Kyu Kwan Park
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Donghee Son
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Hui Joon Park
- Department of Organic and Nano Engineering, Hanyang University, Seoul 04763, Republic of Korea
- Human-Tech Convergence Program, Hanyang University, Seoul 04763, Republic of Korea
| | - Hyoung Won Baac
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
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Hobson EC, Li W, Juliar BA, Putnam AJ, Stegemann JP, Deng CX. Resonant acoustic rheometry for non-contact characterization of viscoelastic biomaterials. Biomaterials 2021; 269:120676. [PMID: 33485213 DOI: 10.1016/j.biomaterials.2021.120676] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 01/10/2021] [Accepted: 01/11/2021] [Indexed: 11/26/2022]
Abstract
Resonant Acoustic Rheometry (RAR) is a new, non-contact technique to characterize the mechanical properties of soft and viscoelastic biomaterials, such as hydrogels, that are used to mimic the extracellular matrix in tissue engineering. RAR uses a focused ultrasound pulse to generate a microscale perturbation at the sample surface and tracks the ensuing surface wave using pulse-echo ultrasound. The frequency spectrum of the resonant surface waves is analyzed to extract viscoelastic material properties. In this study, RAR was used to characterize fibrin, gelatin, and agarose hydrogels. Single time point measurements of gelled samples with static mechanical properties showed that RAR provided consistent quantitative data and measured intrinsic material characteristics independent of ultrasound parameters. RAR was also used to longitudinally track dynamic changes in viscoelastic properties over the course of fibrin gelation, revealing distinct phase and material property transitions. Application of RAR was verified using finite element modeling and the results were validated against rotational shear rheometry. Importantly, RAR circumvents some limitations of conventional rheology methods and can be performed in a high-throughput manner using conventional labware. Overall, these studies demonstrate that RAR can be a valuable tool to noninvasively quantify the viscoelastic mechanical properties of soft hydrogel biomaterials.
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Affiliation(s)
- Eric C Hobson
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48105, USA
| | - Weiping Li
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48105, USA
| | - Benjamin A Juliar
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48105, USA
| | - Andrew J Putnam
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48105, USA
| | - Jan P Stegemann
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48105, USA.
| | - Cheri X Deng
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48105, USA.
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Venkateswarlu K, Suman G, Dhyani V, Swain S, Giri L, Samavedi S. Three‐dimensional imaging and quantification of real‐time cytosolic calcium oscillations in microglial cells cultured on electrospun matrices using laser scanning confocal microscopy. Biotechnol Bioeng 2020; 117:3108-3123. [DOI: 10.1002/bit.27465] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Revised: 05/24/2020] [Accepted: 06/16/2020] [Indexed: 12/28/2022]
Affiliation(s)
- Kojja Venkateswarlu
- Department of Chemical Engineering Indian Institute of Technology Hyderabad Sangareddy Telangana India
| | - Gare Suman
- Department of Chemical Engineering Indian Institute of Technology Hyderabad Sangareddy Telangana India
| | - Vaibhav Dhyani
- Department of Chemical Engineering Indian Institute of Technology Hyderabad Sangareddy Telangana India
| | - Sarpras Swain
- Department of Chemical Engineering Indian Institute of Technology Hyderabad Sangareddy Telangana India
| | - Lopamudra Giri
- Department of Chemical Engineering Indian Institute of Technology Hyderabad Sangareddy Telangana India
| | - Satyavrata Samavedi
- Department of Chemical Engineering Indian Institute of Technology Hyderabad Sangareddy Telangana India
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Mirniaharikandehei S, VanOsdol J, Heidari M, Danala G, Sethuraman SN, Ranjan A, Zheng B. Developing a Quantitative Ultrasound Image Feature Analysis Scheme to Assess Tumor Treatment Efficacy Using a Mouse Model. Sci Rep 2019; 9:7293. [PMID: 31086267 PMCID: PMC6513863 DOI: 10.1038/s41598-019-43847-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 05/02/2019] [Indexed: 12/16/2022] Open
Abstract
The aim of this study is to investigate the feasibility of identifying and applying quantitative imaging features computed from ultrasound images of athymic nude mice to predict tumor response to treatment at an early stage. A computer-aided detection (CAD) scheme with a graphic user interface was developed to conduct tumor segmentation and image feature analysis. A dataset involving ultrasound images of 23 athymic nude mice bearing C26 mouse adenocarcinomas was assembled. These mice were divided into 7 treatment groups utilizing a combination of thermal and nanoparticle-controlled drug delivery. Longitudinal ultrasound images of mice were taken prior and post-treatment in day 3 and day 6. After tumor segmentation, CAD scheme computed image features and created four feature pools including features computed from (1) prior treatment images only and (2) difference between prior and post-treatment images of day 3 and day 6, respectively. To predict tumor treatment efficacy, data analysis was performed to identify top image features and an optimal feature fusion method, which have a higher correlation to tumor size increase ratio (TSIR) determined at Day 10. Using image features computed from day 3, the highest Pearson Correlation coefficients between the top two features selected from two feature pools versus TSIR were 0.373 and 0.552, respectively. Using an equally weighted fusion method of two features computed from prior and post-treatment images, the correlation coefficient increased to 0.679. Meanwhile, using image features computed from day 6, the highest correlation coefficient was 0.680. Study demonstrated the feasibility of extracting quantitative image features from the ultrasound images taken at an early treatment stage to predict tumor response to therapies.
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Affiliation(s)
| | - Joshua VanOsdol
- Center for Veterinary Health Science, Oklahoma State University, Stillwater, 74078, OK, USA
| | - Morteza Heidari
- School of Electrical and Computer Engineering, University of Oklahoma, 73019, Norman, OK, USA
| | - Gopichandh Danala
- School of Electrical and Computer Engineering, University of Oklahoma, 73019, Norman, OK, USA
| | | | - Ashish Ranjan
- Center for Veterinary Health Science, Oklahoma State University, Stillwater, 74078, OK, USA
| | - Bin Zheng
- School of Electrical and Computer Engineering, University of Oklahoma, 73019, Norman, OK, USA.
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Harvestine JN, Sheaff CS, Li C, Haudenschild AK, Gionet-Gonzales MA, Hu JC, Athanasiou KA, Marcu L, Leach JK. Multimodal Label-Free Imaging for Detecting Maturation of Engineered Osteogenic Grafts. ACS Biomater Sci Eng 2019; 5:1956-1966. [DOI: 10.1021/acsbiomaterials.9b00007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Jenna N. Harvestine
- Department of Biomedical Engineering, University of California, Davis, Davis, California 95616, United States
| | - Clay S. Sheaff
- Department of Biomedical Engineering, University of California, Davis, Davis, California 95616, United States
| | - Cai Li
- Department of Biomedical Engineering, University of California, Davis, Davis, California 95616, United States
| | - Anne K. Haudenschild
- Department of Biomedical Engineering, University of California, Davis, Davis, California 95616, United States
| | - Marissa A. Gionet-Gonzales
- Department of Biomedical Engineering, University of California, Davis, Davis, California 95616, United States
| | - Jerry C. Hu
- Department of Biomedical Engineering, University of California, Irvine, Irvine California 92697, United States
| | - Kyriacos A. Athanasiou
- Department of Biomedical Engineering, University of California, Irvine, Irvine California 92697, United States
| | - Laura Marcu
- Department of Biomedical Engineering, University of California, Davis, Davis, California 95616, United States
| | - J. Kent Leach
- Department of Biomedical Engineering, University of California, Davis, Davis, California 95616, United States
- Department of Orthopaedic Surgery, School of Medicine, UC Davis Health, Sacramento, California 95817, United States
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Hernandez C, Exner AA. Predicting in vivo behavior of injectable, in situ-forming drug-delivery systems. Ther Deliv 2017; 8:479-483. [PMID: 28350230 PMCID: PMC10072068 DOI: 10.4155/tde-2017-0007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Affiliation(s)
- Christopher Hernandez
- Department of Radiology, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, USA
| | - Agata A Exner
- Department of Radiology, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, USA
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Comeau ES, Hocking DC, Dalecki D. Ultrasound patterning technologies for studying vascular morphogenesis in 3D. J Cell Sci 2016; 130:232-242. [PMID: 27789577 DOI: 10.1242/jcs.188151] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Accepted: 10/18/2016] [Indexed: 12/16/2022] Open
Abstract
Investigations in this report demonstrate the versatility of ultrasound-based patterning and imaging technologies for studying determinants of vascular morphogenesis in 3D environments. Forces associated with ultrasound standing wave fields (USWFs) were employed to non-invasively and volumetrically pattern endothelial cells within 3D collagen hydrogels. Patterned hydrogels were composed of parallel bands of endothelial cells located at nodal regions of the USWF and spaced at intervals equal to one half wavelength of the incident sound field. Acoustic parameters were adjusted to vary the spatial dimensions of the endothelial bands, and effects on microvessel morphogenesis were analyzed. High-frequency ultrasound imaging techniques were used to image and quantify the spacing, width and density of initial planar cell bands. Analysis of resultant microvessel networks showed that vessel width, orientation, density and branching activity were strongly influenced by the initial 3D organization of planar bands and, hence, could be controlled by acoustic parameters used for patterning. In summary, integration of USWF-patterning and high-frequency ultrasound imaging tools enabled fabrication of vascular constructs with defined microvessel size and orientation, providing insight into how spatial cues in 3D influence vascular morphogenesis.
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Affiliation(s)
- Eric S Comeau
- Department of Biomedical Engineering, Goergen Hall, P.O. Box 270168, University of Rochester, Rochester, NY 14627, USA
| | - Denise C Hocking
- Department of Biomedical Engineering, Goergen Hall, P.O. Box 270168, University of Rochester, Rochester, NY 14627, USA.,Department of Pharmacology and Physiology, 601 Elmwood Avenue, Box 711, University of Rochester, Rochester, NY 14642, USA
| | - Diane Dalecki
- Department of Biomedical Engineering, Goergen Hall, P.O. Box 270168, University of Rochester, Rochester, NY 14627, USA
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