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IEEE Transactions on NanoBioscience Publication Information IEEE纳米生物科学学报
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-01-02 DOI: 10.1109/TNB.2024.3514235
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引用次数: 0
ZebraVas: A Non-Invasive Microvision System for Vascular Recognition and Blood Flow Monitoring of Zebrafish Larvae ZebraVas:一种用于斑马鱼幼体血管识别和血流监测的无创微视觉系统。
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-12-23 DOI: 10.1109/TNB.2024.3520137
Zhongyi Guo;Nana Ai;Wei Ge;Qingsong Xu
Zebrafish have emerged as a powerful model organism in cardiovascular disease research. Accurately identifying zebrafish blood vessels and evaluating blood flow velocity without injury has a wide range of biological applications. This paper presents the design and development of a non-invasive microvision system for vascular recognition and blood flow monitoring of zebrafish larvae. For the first time, a visual algorithm based on color thresholding and discrete Fourier transform filtering is proposed to determine the position of zebrafish dorsal cardinal vein vessels. Next, the blood flow velocity is determined based on the change rate of pixel values near the centroid point of the blood vessel recognition results. Then, an independent software system is developed based on the producer-consumer underlying framework. A user-friendly interface is specifically designed for biomedical workers, and a complete prototype system is built in combination with hardware devices. In addition, relevant experiments were conducted, and the results indicated that the system can effectively recognize the position of vessels and monitor blood flow velocity in zebrafish larvae under different anesthesia concentrations and developmental days. The heart rate information obtained based on blood flow velocity is consistent with the heart beating frequency. Moreover, the system has also been successfully applied to blood flow velocity monitoring under fluorescence conditions. In future work, this system will be applied in drug screening research for cardiovascular-related diseases of zebrafish larvae.
斑马鱼已经成为心血管疾病研究的一个强有力的模式生物。准确识别斑马鱼血管并在不损伤的情况下评估血流速度具有广泛的生物学应用。本文介绍了一种用于斑马鱼幼体血管识别和血流监测的无创微视觉系统的设计与开发。首次提出了一种基于颜色阈值和离散傅里叶变换滤波的视觉算法来确定斑马鱼背主静脉血管的位置。接下来,根据血管识别结果质心点附近像素值的变化率确定血流速度。然后,基于生产者-消费者底层框架,开发了一个独立的软件系统。专门为生物医学工作者设计了用户友好界面,并结合硬件设备构建了完整的原型系统。此外,还进行了相关实验,结果表明该系统可以有效识别不同麻醉浓度和发育天数下斑马鱼幼体的血管位置和血流速度。根据血流速度得到的心率信息与心脏跳动频率一致。此外,该系统还成功应用于荧光条件下的血流速度监测。在今后的工作中,该系统将应用于斑马鱼幼体心血管相关疾病的药物筛选研究。
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引用次数: 0
Microtubule Deformation Modulates Intracellular Transport by Kinesin Differently Than Dynein 微管变形通过运动蛋白调节细胞内运输与动力蛋白不同。
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-11-27 DOI: 10.1109/TNB.2024.3507021
Syeda Rubaiya Nasrin;Tanjina Afrin;Arif Md. Rashedul Kabir;Daisuke Inoue;Takefumi Yamashita;Makoto Oura;Johtaro Yamamoto;Masataka Kinjo;Kazuki Sada;Akira Kakugo
Mechanical stress on cells is transmitted through many biological processes, for example, cell shape control, tissue patterning, and axonal homeostasis. Microtubules, a cytoskeletal component, presumably play a significant role in the mechanoregulation of cellular processes. We investigate motor protein-driven transport of quantum dots along mechanically deformed microtubules. We found that microtubule deformation significantly slowed kinesin-driven transport, whereas we previously reported dynein-driven transport was rather robust. Such dualistic modulation of transportation dynamics of the motor proteins by microtubule deformation can be attributed to the altered affinity of the motor proteins for buckled microtubules. Our results may form the basis for understanding microtubules’ role in regulating cellular processes in a mechanically adverse environment through its detection ability and response to mechanical stress.
细胞上的机械应力通过许多生物过程传递,例如细胞形状控制、组织模式和轴突稳态。微管是细胞骨架的组成部分,可能在细胞过程的机械调节中起着重要作用。我们研究了运动蛋白驱动量子点沿机械变形微管的运输。我们发现微管变形显著减缓了动力蛋白驱动的运输,而我们之前报道的动力蛋白驱动的运输是相当稳健的。微管变形对运动蛋白运输动力学的双重调节可归因于运动蛋白对屈曲微管的亲和力改变。我们的研究结果可以通过微管的检测能力和对机械应力的响应,为理解微管在机械不利环境中调节细胞过程中的作用奠定基础。
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引用次数: 0
Investigating Physical Layer Security in Molecular Communication Networks 研究分子通信网络的物理层安全性。
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-11-22 DOI: 10.1109/TNB.2024.3504540
Fatemeh Sadat Saeidi;Naghmeh Sadat Moayedian
In molecular communication networks, understanding the security level allows us to assess the quality of information transmitted accurately. The presence of unintended nodes in these networks is one of the factors compromising the security of information. This paper considers the simultaneous presence of a jammer and an eavesdropper as unintended nodes. This existence of unintended nodes prompts us to explore methods for assessing the security of a proposed system. Physical layer approaches can be regarded as one of the most efficient methods for assessing security in molecular communication networks. In this paper, we have utilized these approaches instead of the conventional cryptographic methods. At this layer, we have used several metrics to evaluate the security of our system; secrecy capacity (SC), the average probability of error (APOE), and comprehensive secure distance (CSD). By using SC, we also employed other approaches to improve security, such as changing the time interval, jamming molecules, and varying the distance between the transmitter and the receiver. As the last step, Monte Carlo simulation is used to verify the results obtained through analytical analysis.
在分子通信网络中,了解安全级别使我们能够准确地评估传输信息的质量。这些网络中意外节点的存在是危及信息安全的因素之一。本文将干扰者和窃听者同时存在视为非预期节点。这种非预期节点的存在促使我们探索评估所提议系统安全性的方法。物理层方法是评估分子通信网络安全性最有效的方法之一。在本文中,我们利用这些方法来代替传统的加密方法。在这一层,我们使用了几个指标来评估系统的安全性;保密能力(SC)、平均错误概率(APOE)和综合安全距离(CSD)。通过使用SC,我们还采用了其他方法来提高安全性,例如改变时间间隔,干扰分子,以及改变发射器和接收器之间的距离。最后一步,采用蒙特卡罗仿真对解析分析得到的结果进行验证。
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引用次数: 0
Electrospun Stannic Oxide Nanofiber Thin-Film Based Sensing Device for Monitoring Functional Behaviors of Adherent Mammalian Cells 基于电纺氧化锡纳米纤维薄膜的传感设备,用于监测粘附的哺乳动物细胞的功能行为。
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-11-04 DOI: 10.1109/TNB.2024.3489353
Uvanesh Kasiviswanathan;Chandan Kumar;Ajay Kumar Sahi;Amit Kumar;Satyabrata Jit;Neeraj Sharma;Sanjeev Kumar Mahto
This study presents a biosensor utilizing electrospun SnO2 nanofiber films for real-time monitoring of C2C12 cells. The biosensor demonstrates sensitivity towards cellular behaviors, including adhesion, proliferation, and detachment. Alterations in semi-circle and dielectric properties are validated through Nyquist plot and an EEC model, highlighting the biosensor’s potential for analyzing cellular dynamics.
本研究介绍了一种利用电纺 SnO2 纳米纤维薄膜实时监测 C2C12 细胞的生物传感器。该生物传感器对细胞行为(包括粘附、增殖和脱落)十分敏感。通过奈奎斯特图和 EEC 模型验证了半圆和介电特性的变化,突出了生物传感器分析细胞动态的潜力。
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引用次数: 0
“Galaxy” Encoding: Toward High Storage Density and Low Cost "银河 "编码:实现高存储密度和低成本。
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-10-28 DOI: 10.1109/TNB.2024.3481504
Xuncai Zhang;Yunfei Lu
DNA is considered one of the most attractive storage media because of its excellent reliability and durability. Early encoding schemes lacked flexibility and scalability. To address these limitations, we propose a combination of static mapping and dynamic encoding, named “Galaxy” encoding. This scheme uses both the “dual-rule interleaving” algorithm and the “twelve-element Huffman rotational encoding” algorithm. We tested it with “Shakespeare Sonnets” and other files, achieving an encoding information density of approximately 2.563 bits/nt. Additionally, the inclusion of Reed–Solomon error-correcting codes can correct nearly 5% of the errors. Our simulations show that it supports various file types (.gz, .tar, .exe, etc.). We also analyzed the cost and fault tolerance of “Galaxy” encoding, demonstrating its high coding efficiency and ability to fully recover original information while effectively reducing the costs of DNA synthesis and sequencing.
DNA 因其出色的可靠性和耐用性而被认为是最具吸引力的存储介质之一。早期的编码方案缺乏灵活性和可扩展性。为了解决这些局限性,我们提出了一种静态映射和动态编码相结合的方案,命名为 "银河 "编码。该方案同时使用了 "双规则交错 "算法和 "十二元素哈夫曼旋转编码 "算法。我们用 "莎士比亚十四行诗 "和其他文件对其进行了测试,编码信息密度约为 2.563 bits/nt。此外,加入里德-所罗门纠错码可纠正近 5%的错误。我们的模拟显示,它支持各种文件类型(.gz、.tar、.exe 等)。我们还分析了 "银河 "编码的成本和容错性,证明其编码效率高,能够完全恢复原始信息,同时有效降低 DNA 合成和测序的成本。
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引用次数: 0
2024 Index IEEE Transactions on NanoBioscience Vol. 23 2024 Index IEEE Transactions on NanoBioscience Vol.
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-10-23 DOI: 10.1109/TNB.2024.3483609
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引用次数: 0
IEEE Transactions on NanoBioscience Publication Information 电气和电子工程师学会《纳米生物科学论文集》出版信息
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-10-15 DOI: 10.1109/TNB.2024.3460099
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引用次数: 0
Guest Editorial Special Section on Biomedical and Health Informatics 生物医学与健康信息学》特邀编辑专栏
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-10-15 DOI: 10.1109/TNB.2024.3460448
Xiaohua Hu
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引用次数: 0
Errata to “Benchmarking Power Generation From Multiple Wastewater Electrolytes in Microbial Fuel Cells With 3D Printed Disk-Electrodes” 利用 3D 打印磁盘电极在微生物燃料电池中利用多种废水电解质发电的基准测试 "勘误表
IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-10-15 DOI: 10.1109/TNB.2024.3443498
Yuvraj Maphrio Mao;Khairunnisa Amreen;Sanket Goel
Presents corrections to the paper, Benchmarking Power Generation From 2 Multiple Wastewater Electrolytes in Microbial 3 Fuel Cells With 3D Printed Disk-Electrodes.
对论文 "利用 3D 打印磁盘电极的微生物 3 燃料电池中 2 多种废水电解质的发电基准 "进行更正。
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引用次数: 0
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IEEE Transactions on NanoBioscience
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