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Qi J, Yang S, Jiang Y, Cheng J, Wang S, Rao Q, Jiang X. Liquid Metal-Polymer Conductor-Based Conformal Cyborg Devices. Chem Rev 2024; 124:2081-2137. [PMID: 38393351 DOI: 10.1021/acs.chemrev.3c00317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2024]
Abstract
Gallium-based liquid metal (LM) exhibits exceptional properties such as high conductivity and biocompatibility, rendering it highly valuable for the development of conformal bioelectronics. When combined with polymers, liquid metal-polymer conductors (MPC) offer a versatile platform for fabricating conformal cyborg devices, enabling functions such as sensing, restoration, and augmentation within the human body. This review focuses on the synthesis, fabrication, and application of MPC-based cyborg devices. The synthesis of functional materials based on LM and the fabrication techniques for MPC-based devices are elucidated. The review provides a comprehensive overview of MPC-based cyborg devices, encompassing their applications in sensing diverse signals, therapeutic interventions, and augmentation. The objective of this review is to serve as a valuable resource that bridges the gap between the fabrication of MPC-based conformal devices and their potential biomedical applications.
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Affiliation(s)
- Jie Qi
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering. Southern University of Science and Technology, No. 1088, Xueyuan Rd, Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences and the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 511436, P. R. China
| | - Shuaijian Yang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering. Southern University of Science and Technology, No. 1088, Xueyuan Rd, Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
| | - Yizhou Jiang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering. Southern University of Science and Technology, No. 1088, Xueyuan Rd, Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, P. R. China
| | - Jinhao Cheng
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering. Southern University of Science and Technology, No. 1088, Xueyuan Rd, Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
| | - Saijie Wang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering. Southern University of Science and Technology, No. 1088, Xueyuan Rd, Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
| | - Qingyan Rao
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering. Southern University of Science and Technology, No. 1088, Xueyuan Rd, Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
| | - Xingyu Jiang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering. Southern University of Science and Technology, No. 1088, Xueyuan Rd, Xili, Nanshan District, Shenzhen, Guangdong 518055, P. R. China
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Nakshatri HS, Prakash J. Model resolution matrix based deconvolution improves over non-quadratic penalization in frequency-domain photoacoustic tomography. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2022; 152:1345. [PMID: 36182277 DOI: 10.1121/10.0013829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 08/11/2022] [Indexed: 06/16/2023]
Abstract
Frequency domain photoacoustic tomography is becoming more attractive due to low-cost and compact light-sources being used; however, frequency-domain implementation suffers from lower signal to noise compared to time-domain implementation. In this work, we have developed a non-quadratic based penalization framework for frequency-domain photoacoustic imaging, and further proposed a two-step model-resolution matrix based deconvolution approach to improve the reconstruction image quality. The model-resolution matrix was developed in the context of different penalty functions like l2-norm, l1-norm, Cauchy, and Geman-McClure. These model-resolution matrices were then used to perform the deconvolution operation using split augmented Lagrangian shrinkage thresholding algorithm in both full-view and limited-view configurations. The results indicated that the two-step approach outperformed the different penalty function (prior constraint) based reconstruction, with an improvement of about 20% in terms of peak signal to noise ratio and 30% in terms of structural similarity index measure. The improved image quality provided using these algorithms will have a direct impact on realizing practical frequency-domain implementation in both limited-view and full-view configurations.
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Affiliation(s)
- Hemanth S Nakshatri
- Department of Instrumentation and Applied Physics, Indian Institute of Science, C. V. Raman Avenue, Bengaluru 560 012, India
| | - Jaya Prakash
- Department of Instrumentation and Applied Physics, Indian Institute of Science, C. V. Raman Avenue, Bengaluru 560 012, India
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Jangjoo A, Lashkari B, Sivagurunathan K, Mandelis A, Baezzat MR. Truncated correlation photoacoustic coherence tomography: An axial resolution enhancement imaging modality. PHOTOACOUSTICS 2021; 23:100277. [PMID: 34094853 PMCID: PMC8167188 DOI: 10.1016/j.pacs.2021.100277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 04/07/2021] [Accepted: 04/28/2021] [Indexed: 06/12/2023]
Abstract
In this report we present a novel photoacoustic (PA) modality using pulsed chirp excitation at a fixed wavelength and spectral analysis based on frequency-domain (FD) processing. We introduce Truncated Correlation Photoacoustic Coherence Tomography (TC-PACT), a PA axial resolution enhancement methodology, with an application to closely stacked subsurface multilayers of plexiglass coated with a thin layer of graphite acting as surface absorber. The experimental results demonstrated that the SNR and the axial resolution were higher in TC-PACT than in conventional FD photoacoustics. A ns pulsed laser was also used as PA excitation source with axial resolution results found to be commensurate with TC-PACT. However, the separation distance between adjacent absorbers when the latter approached the axial resolution limit of the transducer was only resolved in TC-PACT compared to pulsed laser PA owing to the lower uncertainty in the former modality involved in determining the location of the absorbers.
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Affiliation(s)
- Alireza Jangjoo
- Center for Advanced Diffusion-Wave and Photoacoustic Technologies, Dept. of Mechanical and Industrial Engineering, University of Toronto, King’s College Road, Toronto, ON, M5S 3G8, Canada
- Department of Chemistry, Payame Noor University, P.O. Box 19395-3697, Tehran, Iran
| | - Bahman Lashkari
- Center for Advanced Diffusion-Wave and Photoacoustic Technologies, Dept. of Mechanical and Industrial Engineering, University of Toronto, King’s College Road, Toronto, ON, M5S 3G8, Canada
| | - Koneswaran Sivagurunathan
- Center for Advanced Diffusion-Wave and Photoacoustic Technologies, Dept. of Mechanical and Industrial Engineering, University of Toronto, King’s College Road, Toronto, ON, M5S 3G8, Canada
| | - Andreas Mandelis
- Center for Advanced Diffusion-Wave and Photoacoustic Technologies, Dept. of Mechanical and Industrial Engineering, University of Toronto, King’s College Road, Toronto, ON, M5S 3G8, Canada
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Blackman NJ, Jack DA, Blandford BM. Improvement in the Quantification of Foreign Object Defects in Carbon Fiber Laminates Using Immersion Pulse-Echo Ultrasound. MATERIALS 2021; 14:ma14112919. [PMID: 34071565 PMCID: PMC8198476 DOI: 10.3390/ma14112919] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 05/21/2021] [Accepted: 05/26/2021] [Indexed: 11/16/2022]
Abstract
This research presents a new technique using pulse echo ultrasound for sizing foreign objects within carbon fiber laminates. Carbon fiber laminates are becoming increasingly popular in a wide variety of industries for their desirable properties. It is not uncommon for manufacturing defects to occur within a carbon fiber laminates, causing waste, either in the discarding of failed parts or the overdesign of the initial part to account for these anticipated and undetected errors. One such manufacturing defect is the occurrence of a foreign object within the laminate. This defect will lead to a localized weakness within the laminate including, but not limited to, stress risers, delamination, and catastrophic failure. This paper presents a method to analyze high-resolution c-scan full waveform captured data to automatically capture the geometry of the foreign object with minimal user inputs without a-priori knowledge of the shape of the defect. This paper analyzes twelve samples, each a twelve-lamina carbon fiber laminate. Foreign objects are made from polytetrafluoroethylene (PTFE) measuring 0.05 mm (0.002 in.) thick and ranging in diameter from 12.7 mm (0.5 in) to 1.588 mm (0.0625 in), are placed within the laminates during fabrication at varying depths. The samples are analyzed with a custom high-resolution c-scan system and smoothing, and edge detection methods are applied to the collected c-scan data. Results are presented on the sizing of the foreign objects with an average error of 6% of the true area, and an average absolute difference in the estimation of the diameter of 0.1 mm (0.004 in), an improvement over recently presented ultrasonic methods by a factor of three.
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Mohammadkhani R, Zanotti Fragonara L, Padiyar M. J, Petrunin I, Raposo J, Tsourdos A, Gray I. Improving Depth Resolution of Ultrasonic Phased Array Imaging to Inspect Aerospace Composite Structures. SENSORS 2020; 20:s20020559. [PMID: 31968541 PMCID: PMC7014479 DOI: 10.3390/s20020559] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 01/15/2020] [Accepted: 01/16/2020] [Indexed: 11/24/2022]
Abstract
In this paper, we present challenges and achievements in development and use of a compact ultrasonic Phased Array (PA) module with signal processing and imaging technology for autonomous non-destructive evaluation of composite aerospace structures. We analyse two different sets of ultrasonic scan data, acquired from 5 MHz and 10 MHz PA transducers. Although higher frequency transducers promise higher axial (depth) resolution in PA imaging, we face several signal processing challenges to detect defects in composite specimens at 10 MHz. One of the challenges is the presence of multiple echoes at the boundary of the composite layers called structural noise. Here, we propose a wavelet transform-based algorithm that is able to detect and characterize defects (depth, size, and shape in 3D plots). This algorithm uses a smart thresholding technique based on the extracted statistical mean and standard deviation of the structural noise. Finally, we use the proposed algorithm to detect and characterize defects in a standard calibration specimen and validate the results by comparing to the designed depth information.
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van Leuteren PG, de Vries BA, de Joode-Smink GCJ, ten Haken B, de Jong TPVM, Dik P. URIKA, continuous ultrasound monitoring for the detection of a full bladder in children with dysfunctional voiding: a feasibility study. Biomed Phys Eng Express 2017. [DOI: 10.1088/2057-1976/aa589f] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Grasland-Mongrain P, Destrempes F, Mari JM, Souchon R, Catheline S, Chapelon JY, Lafon C, Cloutier G. Acousto-electrical speckle pattern in Lorentz force electrical impedance tomography. Phys Med Biol 2015; 60:3747-57. [DOI: 10.1088/0031-9155/60/9/3747] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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