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A wireless W-band 3D-printed temperature sensor based on a three-dimensional photonic crystal operating beyond 1000 ∘C 基于三维光子晶体的无线 W 波段三维打印温度传感器,工作温度超过 1000 ∘C。
Pub Date : 2024-09-23 DOI: 10.1038/s44172-024-00282-5
Jesús Sánchez-Pastor, Petr Kadĕra, Masoud Sakaki, Rolf Jakoby, Jaroslav Lacik, Niels Benson, Alejandro Jiménez-Sáez
In addressing sensing in harsh and dynamic environments, there are no available millimeter-wave chipless and wireless sensors capable of continuous operation at extremely high temperatures. Here we present a fully dielectric wireless temperature sensor capable of operating beyond 1000 ∘C. The sensor uses high-Q cavities embedded within a three-dimensional photonic crystal resonating at 83.5 GHz and 85.5 GHz, and a flattened Luneburg lens enhances its readout range. The sensor is additively manufactured using Lithography-based Ceramic Manufacturing in Alumina (Al2O3). Despite the clutter, its frequency-coded response remains detectable from outside the furnace at 50 cm and at temperatures up to 1200 ∘C. It is observed that the resonance frequencies shift with temperature. This shift is linked to a change in the dielectric properties of Al2O3, which are estimated up to 1200 ∘C and show good agreement with literature values. The sensor is thus highly suitable for millimeter-wave applications in dynamic, cluttered, and high-temperature environments. Jesús Sánchez-Pastor and colleagues demonstrate a ceramic W-band wireless temperature sensor leveraging high-Q cavities within a three-dimensional photonic crystal. The sensor is additively manufactured in Alumina and can continuously operate at extreme temperatures above 1000 ∘C with potential applications in dynamic, cluttered, and high-temperature environments.
在解决恶劣和动态环境下的传感问题时,目前还没有能够在极高温度下连续工作的毫米波无芯片无线传感器。在这里,我们介绍一种能够在超过 1000 ∘C 的温度下工作的全介质无线温度传感器。该传感器使用嵌入在三维光子晶体中的高 Q 腔,共振频率为 83.5 GHz 和 85.5 GHz,扁平的 Luneburg 透镜增强了其读出范围。该传感器采用基于光刻技术的氧化铝(Al2O3)陶瓷制造技术进行加成制造。尽管存在杂波,其频率编码响应仍可从炉外 50 厘米处检测到,温度最高可达 1200 ∘C。据观察,共振频率随温度变化而移动。这种偏移与 Al2O3 介电性质的变化有关,估计温度可达 1200 ∘C,并且与文献值十分吻合。因此,该传感器非常适合在动态、杂乱和高温环境中应用毫米波。
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引用次数: 0
Acoustically semitransparent nanofibrous meshes appraised by high signal-to-noise-ratio MEMS microphones 通过高信噪比 MEMS 麦克风评估半透明纳米纤维网。
Pub Date : 2024-09-23 DOI: 10.1038/s44172-024-00283-4
Hutomo Suryo Wasisto, Sebastian Anzinger, Giovanni Acanfora, Aloysius Farrel, Valentina Sabatini, Elisa Grimoldi, Vasco Marelli, Nikita Ovsiannikov, Konstantin Tkachuk, Giordano Tosolini, Carmine Lucignano, Marco Mietta, Guangzhao Zhang, Marc Fueldner, Erwin Peiner
Microelectromechanical system-based microphones demand high ingress protection levels with regard to their use in harsh environment. Here, we develop environmental protective components comprising polyimide nanofibers combined onto polyether ether ketone fabric meshes and subsequently appraise their impact on the electroacoustic properties of high signal-to-noise-ratio microelectromechanical system-based microphones via industry-standard characterizations and theoretical simulations. Being placed directly on top of the microphone sound port, the nanofiber mesh die-cut parts with an inner diameter of 1.4 mm result in signal-to-noise-ratio and insertion losses of (2.05 ± 0.16) dB(A) and (0.30 ± 0.11) dBFS, respectively, in electroacoustic measurements. Hence, a high signal-to-noise-ratio value of (70.05 ± 0.17) dB(A) can be maintained by the mesh-protected microphone system. Due to their high temperature stability, acoustic performance, environmental robustness, and industry-scale batch production, these nanofibrous meshes reveal high potential to be practically implemented in high-market-volume applications of packaged microelectromechanical system-based microphones. Hutomo Suryo Wasisto and colleagues develop a nanofiber-based mesh for improving the ingress protection level of microelectromechanical system (MEMS)-based microphone. Their device demonstrates high acoustic performance and environmental robustness.
基于微机电系统的麦克风在恶劣环境中使用时,需要很高的侵入防护等级。在此,我们开发了由聚酰亚胺纳米纤维和聚醚醚酮织物网组成的环境防护部件,并随后通过工业标准表征和理论模拟评估了它们对基于微机电系统的高信噪比麦克风的电声特性的影响。内径为 1.4 mm 的纳米纤维网模切部件直接置于麦克风声端口的顶部,在电声测量中产生的信噪比和插入损耗分别为 (2.05 ± 0.16) dB(A) 和 (0.30 ± 0.11) dBFS。因此,网状保护传声器系统可以保持 (70.05 ± 0.17) dB(A) 的高信噪比值。由于这些纳米纤维网具有高温稳定性、声学性能、环境鲁棒性和工业规模的批量生产,因此很有可能在基于封装微机电系统的麦克风的大批量市场应用中得到实际应用。
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引用次数: 0
Scintillation event imaging with a single photon avalanche diode camera 利用单光子雪崩二极管相机进行闪烁事件成像
Pub Date : 2024-09-18 DOI: 10.1038/s44172-024-00281-6
Alex Bocchieri, Edoardo Charbon, Andreas Velten
Position and time measurements of scintillation events encode information about the radiation source. Single photon avalanche diode (SPAD) arrays offer multiple-megapixel spatial resolution and tens of picoseconds temporal resolution for detecting single photons. Current lensless designs for measuring scintillation events use sensors that are lower in spatial resolution. Camera-based designs use sensors that are lower in temporal resolution or readout rate and cannot image individual interactions. Here we propose to image scintillation events in a thick, monolithic scintillator using a high-resolution SPAD camera. We demonstrate that a commercial SPAD camera is able to gather sufficient signal to image individual scintillation events and observe 3D shifts in their spatial distribution. Simulations show that a SPAD camera can localize individual scintillation events in 3D. We report direct imaging of gamma-ray interactions in a scintillator with a SPAD camera. The proposed design may allow to measure complex signatures of individual particles interacting in the scintillator. Alex Bocchieri and colleagues propose an imaging technique in a thick, monolithic scintillator using a high-resolution SPAD camera. They report a direct imaging of gamma-ray interactions in a scintillator.
对闪烁事件的位置和时间测量可以编码辐射源的信息。单光子雪崩二极管(SPAD)阵列具有数百万像素的空间分辨率和数十皮秒的时间分辨率,可用于探测单光子。目前用于测量闪烁事件的无透镜设计使用的传感器空间分辨率较低。基于摄像头的设计使用的传感器时间分辨率或读出率较低,无法对单个相互作用成像。在此,我们建议使用高分辨率 SPAD 摄像机对厚整体闪烁体中的闪烁事件进行成像。我们证明,商用 SPAD 相机能够收集足够的信号,对单个闪烁事件进行成像,并观察其空间分布的三维变化。模拟结果表明,SPAD 摄像机可以在三维空间定位单个闪烁事件。我们报告了利用 SPAD 相机对闪烁体中的伽马射线相互作用进行直接成像的情况。建议的设计可以测量闪烁体中相互作用的单个粒子的复杂特征。Alex Bocchieri 及其同事提出了一种利用高分辨率 SPAD 摄像机在厚整体闪烁体中成像的技术。他们报告了闪烁体中伽马射线相互作用的直接成像。
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引用次数: 0
Interactive computer-aided diagnosis on medical image using large language models 利用大型语言模型对医学影像进行交互式计算机辅助诊断
Pub Date : 2024-09-17 DOI: 10.1038/s44172-024-00271-8
Sheng Wang, Zihao Zhao, Xi Ouyang, Tianming Liu, Qian Wang, Dinggang Shen
Computer-aided diagnosis (CAD) has advanced medical image analysis, while large language models (LLMs) have shown potential in clinical applications. However, LLMs struggle to interpret medical images, which are critical for decision-making. Here we show a strategy integrating LLMs with CAD networks. The framework uses LLMs’ medical knowledge and reasoning to enhance CAD network outputs, such as diagnosis, lesion segmentation, and report generation, by summarizing information in natural language. The generated reports are of higher quality and can improve the performance of vision-based CAD models. In chest X-rays, an LLM using ChatGPT improved diagnosis performance by 16.42 percentage points compared to state-of-the-art models, while GPT-3 provided a 15.00 percentage point F1-score improvement. Our strategy allows accurate report generation and creates a patient-friendly interactive system, unlike conventional CAD systems only understood by professionals. This approach has the potential to revolutionize clinical decision-making and patient communication. Wang et al. developed a machine learning strategy for improving large language model to understand and analyse visual medical information. Their framework seamlessly integrates medical image computer-aided diagnosis networks with large language models, converting medical image inputs into a clear and concise textual summary of the patient’s condition.
计算机辅助诊断(CAD)推动了医学影像分析的发展,而大型语言模型(LLMs)也显示出了临床应用的潜力。然而,LLMs 在解释医学图像方面却举步维艰,而医学图像对决策至关重要。在这里,我们展示了一种将 LLM 与 CAD 网络相结合的策略。该框架利用 LLMs 的医学知识和推理能力,通过用自然语言总结信息来增强 CAD 网络的输出,如诊断、病变分割和报告生成。生成的报告质量更高,可以提高基于视觉的 CAD 模型的性能。在胸部 X 光检查中,与最先进的模型相比,使用 ChatGPT 的 LLM 诊断性能提高了 16.42 个百分点,而 GPT-3 的 F1 分数提高了 15.00 个百分点。与只有专业人士才能理解的传统 CAD 系统不同,我们的策略允许生成准确的报告,并创建了一个患者友好型交互系统。这种方法有望彻底改变临床决策和患者沟通。Wang 等人开发了一种机器学习策略,用于改进大型语言模型,以理解和分析可视化医疗信息。他们的框架将医学影像计算机辅助诊断网络与大型语言模型无缝集成,将医学影像输入转化为清晰简洁的病人病情文本摘要。
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引用次数: 0
Synergizing physics and machine learning for advanced battery management 将物理学与机器学习相结合,实现先进的电池管理
Pub Date : 2024-09-17 DOI: 10.1038/s44172-024-00273-6
Manashita Borah, Qiao Wang, Scott Moura, Dirk Uwe Sauer, Weihan Li
Improving battery health and safety motivates the synergy of a powerful duo: physics and machine learning. Through seamless integration of these disciplines, the efficacy of mathematical battery models can be significantly enhanced. This paper delves into the challenges and potentials of managing battery health and safety, highlighting the transformative impact of integrating physics and machine learning to address those challenges. Based on our systematic review in this context, we outline several future directions and perspectives, offering a comprehensive exploration of efficient and reliable approaches. Our analysis emphasizes that the integration of physics and machine learning stands as a disruptive innovation in the development of emerging battery health and safety management technologies. Lithium-ion batteries are integral to modern technologies but the sustainability of long-term battery health is a significant and persistent challenge. In this perspective Borah and colleagues discuss the integration of physics and machine learning to support developments in battery performance and safety.
提高电池的健康和安全性需要物理学和机器学习这对强大组合的协同作用。通过这些学科的无缝整合,可以显著提高电池数学模型的功效。本文深入探讨了电池健康与安全管理所面临的挑战和潜力,强调了物理与机器学习的结合对解决这些挑战的变革性影响。根据我们在这方面的系统回顾,我们概述了几个未来方向和前景,对高效可靠的方法进行了全面探索。我们的分析强调,在新兴电池健康和安全管理技术的发展过程中,物理与机器学习的整合是一项颠覆性创新。锂离子电池是现代技术不可或缺的一部分,但电池长期健康的可持续性是一项重大而持久的挑战。在这篇论文中,Borah 及其同事讨论了物理学与机器学习的整合,以支持电池性能和安全的发展。
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引用次数: 0
A full-custom fully implantable cochlear implant system validated in vivo with an animal model 通过动物模型在体内验证的全定制全植入式人工耳蜗系统
Pub Date : 2024-09-14 DOI: 10.1038/s44172-024-00275-4
Hasan Uluşan, M. Berat Yüksel, Özlem Topçu, H. Andaç Yiğit, Akın M. Yılmaz, Mert Doğan, Nagihan Gülhan Yasar, İbrahim Kuyumcu, Aykan Batu, Nebil Göksu, M. Birol Uğur, Haluk Külah
Realizations of fully implantable cochlear implants (FICIs) for providing adequate solution to esthetic concerns and frequent battery replacement have lacked of addressing system level criteria as a complete device. Here, we present a full-custom FICI that considers design of both an implantable sensor for wide range sound sensing and a signal conditioning circuit for electrical stimulation of the auditory nerve. The microelectromechanical system (MEMS)-based acoustic sensor utilizes multiple cantilever beam structures to sense and filter the mechanical vibrations on the ossicular chain. The area optimized bilayer design of the piezoelectric sensor met with the volume limitation in the middle ear while achieving high signal-to-noise-ratio. The sensor outputs are processed by a current mode low-power signal conditioning circuit that stimulates the auditory neurons through intracochlear electrodes. The FICI is validated with an in vivo model where the electrical auditory brainstem response (eABR) of the animal was observed while applying sound excitation. The eABR results demonstrate that the system is able to evoke responses in the auditory nerves of a guinea pig for sound range of 45–100 dB SPL within the selected frequency bands. Dr Ulusan and colleagues design a fully implantable cochlear implant and demonstrate functionality using an in vivo model where sound vibrations within a range of 45–100 dB SPL can be detected and filtered. The design uses a MEMS-based acoustic sensor coupled with a low-power signal-conditioning circuit that will also ensure long operating times.
全植入式人工耳蜗(FICI)可充分解决美观问题和频繁更换电池的问题,但作为一个完整的设备,它缺乏系统级标准。在这里,我们介绍一种全定制 FICI,它既考虑了用于大范围声音感应的植入式传感器的设计,也考虑了用于电刺激听觉神经的信号调节电路的设计。基于微机电系统(MEMS)的声学传感器利用多个悬臂梁结构来感应和过滤听骨链上的机械振动。压电传感器的面积优化双层设计既能满足中耳的体积限制,又能实现高信噪比。传感器输出由电流模式低功耗信号调节电路处理,该电路通过耳蜗内电极刺激听觉神经元。FICI 通过活体模型进行了验证,在该模型中,在施加声音激励的同时观察了动物的听性脑干电反应(eABR)。电听觉脑干反应结果表明,该系统能够在选定频段内唤起豚鼠听觉神经对 45-100 dB SPL 范围内声音的反应。Ulusan 博士及其同事设计了一种完全可植入的人工耳蜗,并使用体内模型演示了其功能,在该模型中,可以检测和过滤 45-100 dB SPL 范围内的声音振动。该设计采用了基于 MEMS 的声学传感器和低功耗信号调节电路,可确保长时间工作。
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引用次数: 0
Multi-view neural 3D reconstruction of micro- and nanostructures with atomic force microscopy 利用原子力显微镜对微观和纳米结构进行多视角神经三维重建
Pub Date : 2024-09-12 DOI: 10.1038/s44172-024-00270-9
Shuo Chen, Mao Peng, Yijin Li, Bing-Feng Ju, Hujun Bao, Yuan-Liu Chen, Guofeng Zhang
Atomic Force Microscopy (AFM) is a widely employed tool for micro- and nanoscale topographic imaging. However, conventional AFM scanning struggles to reconstruct complex 3D micro- and nanostructures precisely due to limitations such as incomplete sample topography capturing and tip-sample convolution artifacts. Here, we propose a multi-view neural-network-based framework with AFM, named MVN-AFM, which accurately reconstructs surface models of intricate micro- and nanostructures. Unlike previous 3D-AFM approaches, MVN-AFM does not depend on any specially shaped probes or costly modifications to the AFM system. To achieve this, MVN-AFM employs an iterative method to align multi-view data and eliminate AFM artifacts simultaneously. Furthermore, we apply the neural implicit surface reconstruction technique in nanotechnology and achieve improved results. Additional extensive experiments show that MVN-AFM effectively eliminates artifacts present in raw AFM images and reconstructs various micro- and nanostructures, including complex geometrical microstructures printed via two-photon lithography and nanoparticles such as poly(methyl methacrylate) (PMMA) nanospheres and zeolitic imidazolate framework-67 (ZIF-67) nanocrystals. This work presents a cost-effective tool for micro- and nanoscale 3D analysis. Shuo Chen and colleagues present a cost-effective neural network-based method to deal with tip-sample convolution artifacts in atomic force microscopy. Their method merges multiview atomic force microscopy images into precise 3D models of complex micro- and nanostructures.
原子力显微镜(AFM)是一种广泛用于微米和纳米级形貌成像的工具。然而,由于样品形貌捕捉不完整和尖端-样品卷积伪影等限制,传统的原子力显微镜扫描难以精确重建复杂的三维微观和纳米结构。在这里,我们提出了一种基于多视角神经网络的原子力显微镜框架,名为 MVN-AFM,它能准确重建复杂微观和纳米结构的表面模型。与以往的 3D-AFM 方法不同,MVN-AFM 不依赖于任何特殊形状的探针,也不需要对 AFM 系统进行昂贵的改装。为此,MVN-AFM 采用了一种迭代方法来对齐多视角数据,并同时消除 AFM 伪影。此外,我们还在纳米技术中应用了神经隐式表面重建技术,并取得了更好的效果。其他大量实验表明,MVN-AFM 能有效消除原始 AFM 图像中存在的伪影,并重建各种微观和纳米结构,包括通过双光子光刻技术打印的复杂几何微观结构,以及聚甲基丙烯酸甲酯(PMMA)纳米球和沸石咪唑框架-67(ZIF-67)纳米晶体等纳米粒子。这项工作为微米和纳米级三维分析提供了一种经济高效的工具。Shuo Chen 及其同事提出了一种基于神经网络的经济高效的方法,用于处理原子力显微镜中的尖端-样品卷积伪影。他们的方法将多视角原子力显微镜图像合并成复杂微观和纳米结构的精确三维模型。
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引用次数: 0
Seamlessly merging radar ranging and imaging, wireless communications, and spectrum sensing for 6G empowered by microwave photonics 无缝融合雷达测距与成像、无线通信和频谱传感技术,实现由微波光子技术助力的 6G
Pub Date : 2024-09-12 DOI: 10.1038/s44172-024-00279-0
Taixia Shi, Yang Chen, Jianping Yao
To facilitate intelligent interconnection among people, machines, and things, the next generation of communication technology must incorporate various sensing functions besides high-speed wireless communications. Integration of radar, wireless communications, and spectrum sensing is being investigated for 6G with increased spectral efficiency, enhanced system integration, and reduced cost. Microwave photonics, a technique that combines microwave engineering and photonic technology is considered an effective solution for implementing the integration and breaking the bottleneck problems of electronic solutions. Here, we show a photonics-assisted joint radar, wireless communications, and spectrum sensing system that enables precise perception of the surrounding physical and electromagnetic environments while maintaining high-speed communication. Communication signals and frequency-sweep signals are merged optically using a shared system architecture and hardware to achieve signal level sharing, ultimately simultaneously achieving high-accuracy radar ranging and imaging with a measurement error within ± 4 cm and an imaging resolution of 25 × 24.7 mm, high-data-rate wireless communications at 2 Gbaud, and wideband spectrum sensing with a frequency measurement error within ±10 MHz in a 6 GHz bandwidth. Taixia Shi and colleagues demonstrate a microwave photonics system with integrated capabilities of radar, communication, and spectrum sensing for 6G technologies, simultaneously achieving high-accuracy radar ranging and imaging, high-data-rate wireless communications, and wideband spectrum sensing.
为了促进人、机、物之间的智能互联,下一代通信技术除了高速无线通信外,还必须集成各种传感功能。目前正在研究如何将雷达、无线通信和频谱传感集成到 6G 技术中,以提高频谱效率、增强系统集成和降低成本。微波光子学是一种将微波工程和光子技术相结合的技术,被认为是实现集成和突破电子解决方案瓶颈问题的有效解决方案。在这里,我们展示了一种光子辅助联合雷达、无线通信和频谱传感系统,该系统可在保持高速通信的同时精确感知周围的物理和电磁环境。通信信号和扫频信号通过共享系统架构和硬件进行光学合并,以实现信号电平共享,最终同时实现高精度雷达测距和成像(测量误差在± 4 厘米以内,成像分辨率为 25 × 24.7 毫米)、2 Gbaud 的高数据速率无线通信以及宽带频谱传感(在 6 GHz 带宽内频率测量误差在±10 MHz 内)。施泰夏及其同事展示了一种微波光子系统,该系统集成了雷达、通信和频谱传感功能,适用于 6G 技术,可同时实现高精度雷达测距和成像、高数据速率无线通信以及宽带频谱传感。
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引用次数: 0
Bidirectional wavelength-division-multiplexing fibre-free-space optical communications using polarisation multiplexing technique and tunable optical vestigial sideband filter 利用偏振多路复用技术和可调谐光学边带滤波器实现双向波分复用光纤自由空间光通信
Pub Date : 2024-09-09 DOI: 10.1038/s44172-024-00277-2
Hsiao-Mei Lin, Chia-Peng Wang, Hai-Han Lu, Stotaw Talbachew Hayle, Xu-Hong Huang, Wei-Wen Hsu, Yu-Chen Chung, Yu-Yao Bai, Kelper Okram, Jia-Ming Lu
To address the growing demand from emerging applications, high transmission capacity is essential for both fibre backbones and last-mile communications. This can be achieved by integrating optical fibre with optical wireless technologies, facilitating the development of fibre-free-space optical communications. Here we report a bidirectional wavelength-division-multiplexing fibre-free-space optical communication employing polarisation multiplexing technique and tunable optical vestigial sideband filter. The transmission capacity is considerably increased by integrating the polarisation multiplexing technique with the wavelength-division-multiplexing scheme. The transmission performance is extensively enhanced by using a tunable optical vestigial sideband filter and vestigial sideband-four-level pulse amplitude modulation. Moreover, the optical wireless link is substantially extended through the operation of triplet lenses. Low bit error rates and clear vestigial sideband-four-level pulse amplitude modulation eye diagrams are attained with a high aggregate transmission capacity of 480 Gb/s for downstream/upstream transmission. This capability of bidirectional fibre-free-space optical communications holds substantial potential for enhancing advanced wired-wireless communications. Hsiao-Mei Lin and coauthors achieve bidirectional communication using polarisation multiplexing and a tunable optical vestigial sideband filter. The system transmitted data over a total distance of 31.6 km, including both single-mode fibre and free-space optical links, achieving an aggregate capacity of 480 Gb/s for downstream and upstream transmissions.
为了满足新兴应用日益增长的需求,光纤骨干网和最后一英里通信都必须具备高传输容量。这可以通过将光纤与光无线技术相结合来实现,从而促进自由空间光纤通信的发展。在此,我们报告了一种采用偏振复用技术和可调光学边带滤波器的双向波分复用光纤自由空间光通信。通过将偏振复用技术与波分复用方案相结合,大大提高了传输容量。通过使用可调谐光学边带滤波器和边带四电平脉冲幅度调制,传输性能大大提高。此外,通过使用三重透镜,还大大扩展了光无线链路。低误码率和清晰的前卫边带-四电平脉冲幅度调制眼图,以及高达 480 Gb/s 的下行/上行传输总容量均得以实现。这种双向光纤-自由空间光通信能力为增强先进的有线-无线通信提供了巨大潜力。Hsiao-Mei Lin 和合作者利用偏振复用和可调谐光学边带滤波器实现了双向通信。该系统传输数据的总距离为 31.6 千米,包括单模光纤和自由空间光链路,上下行传输总容量达到 480 Gb/s。
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引用次数: 0
Mesenchymal stem cell cryopreservation with cavitation-mediated trehalose treatment 通过空化介导的三卤糖处理冷冻间充质干细胞
Pub Date : 2024-09-09 DOI: 10.1038/s44172-024-00265-6
Carla V. Fuenteslópez, Michael Gray, Simge Bahcevanci, Alexander Martin, Cameron A. B. Smith, Constantin Coussios, Zhanfeng Cui, Hua Ye, Viorica Patrulea
Dimethylsulfoxide (DMSO) has conventionally been used for cell cryopreservation both in research and in clinical applications, but has long-term cytotoxic effects. Trehalose, a natural disaccharide, has been proposed as a non-toxic cryoprotectant. However, the lack of specific cell membrane transporter receptors inhibits transmembrane transport and severely limits its cryoprotective capability. This research presents a method to successfully deliver trehalose into mesenchymal stem cells (MSCs) using ultrasound in the presence of microbubbles. The optimised trehalose concentration was shown to be able to not only preserve membrane integrity and cell viability but also the multipotency of MSCs, which are essential for stem cell therapy. Confocal imaging revealed that rhodamine-labelled trehalose was transported into cells rather than simply attached to the membrane. Additionally, the membranes were successfully preserved in lyophilised cells. This study demonstrates that ultrasonication with microbubbles facilitated trehalose delivery, offering promising cryoprotective capability without the cytotoxicity associated with DMSO-based methods. The team led by Dr. Patrulea propose a method to use trehalose as a non-toxic cryopreservation & lyophilisation agent. They demonstrate how ultrasound & microbubbles can be used to successfully internalise trehalose into mesenchymal stem cells, preventing cryodamage.
在研究和临床应用中,二甲基亚砜(DMSO)一直被用于细胞冷冻保存,但它具有长期的细胞毒性。有人建议将天然二糖--曲哈洛糖作为一种无毒的冷冻保护剂。然而,由于缺乏特异性细胞膜转运受体,抑制了跨膜转运,严重限制了其冷冻保护能力。本研究提出了一种在微气泡存在的情况下利用超声波成功将曲卤糖输送到间充质干细胞(MSCs)中的方法。结果表明,优化后的曲哈洛糖浓度不仅能保持膜完整性和细胞活力,还能保持间充质干细胞的多潜能性,这对干细胞治疗至关重要。共焦成像显示,罗丹明标记的曲哈洛糖被转运到细胞内,而不是简单地附着在细胞膜上。此外,冻干细胞中的膜也被成功保存。这项研究表明,用微气泡进行超声处理有利于曲哈洛糖的输送,具有良好的低温保护能力,而不会产生基于二甲基亚砜的方法所产生的细胞毒性。Patrulea 博士领导的团队提出了一种将曲卤糖用作无毒低温冷冻剂的方法。他们展示了如何利用超声波和微气泡成功地将曲哈洛糖内置于间充质干细胞中,从而防止冷冻损伤。
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