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Автор: Grafiati

Опубліковано: 14 березня 2023

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1

NISHIMOTO, Hiroshi, Akihiro OKAZAKI, Yusuke KINOSHITA, Kaoru TSUKAMOTO, Shusaku UMEDA, Kazuyoshi TSUJI, Kanako YAMAGUCHI, and Atsushi OKAMURA. "2E11 Millimeter-wave train radio communication system based on linear cell concept(Infrastructure)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _2E11–1_—_2E11–12_. http://dx.doi.org/10.1299/jsmestech.2015._2e11-1_.

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2

Zhen-Ning Wu, Zhen-Ning Wu, Hao-Sen Huang Zhen-Ning Wu, Jun-Jun Jiang Hao-Sen Huang, Zhong-Zhe Xiao Jun-Jun Jiang, and Min Huang Zhong-Zhe Xiao. "Intelligent Tumor Cell Detection Method Based on Circulating Tumor Cell (CTC) Technology." 電腦學刊 34, no. 1 (February 2023): 117–30. http://dx.doi.org/10.53106/199115992023023401009.

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Анотація:

<p>Cancer has become one of the greatest threats for human life. Doctors can get original images of the sick organs with the assistance of medical technology. However, manual interpretation of the original images is time consuming and labor consuming. Nowadays, the intelligent detection of tumor cell images is commonly adopted in cancer diagnosis. In this paper, we propose Imporved Selective Search (ISS) algorithm and CTCNet based on Circulating Tumor Cell (CTC) technology to improve the cancer images’ detection efficiency. CTCs can be collected by a sampling needle with EpCAM antibody which can specifically bind to tumor cells. After fluorescent staining process, images obtained from sampling needle will be processed by the ISS algorithm for candidate region preselection. All of the eligible areas are evaluated with a self-designed neural network called CTCNet, resulting in efficient recognition of circulating tumor cells. During this process, all algorithms are accelerated through the GPU and NPU hardware platform, which further improves the detection speed of the system. In the experiment, we first verify the efficiency of proposed ISS algorithm by compared with Original Selective Search (OSS), we found that the number of candidate boxes reduced from 549 to 16 and the time consuming reduced by 0.3s after adopting the ISS algorithm. In order to evaluate the performance of the proposed 7-layer CTCNet, we compared CTCNet with SVM, BP neural network, AlexNet and VGGNet by using the dataset of 12312 samples from 30 patients, among them, there were 12 patients with early cancer and 18 patients with advanced cancer. And we got the highest recognition accuracy of 97.95% on CTCNet, which even beyond the VGGNet with deeper layers. In contrast to other combinations, we detect CTC in diverse clinical CTC images, the joint application of ISS algorithm and CTCNet achieves an outstanding system performance with accuracy up to 94.03% in the whole view images. Meanwhile, because of the application of a lightweight network in different hardware acceleration platform, the detection time of the CTC image in a single view can be less than 12s.</p> <p> </p>

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3

Erdman, Nick, Lucas Schmidt, Wan Qin, Xiaoqi Yang, Yongliang Lin, Mauris N. DeSilva, and Bruce Z. Gao. "Microfluidics-based laser cell-micropatterning system." Biofabrication 6, no. 3 (September 5, 2014): 035025. http://dx.doi.org/10.1088/1758-5082/6/3/035025.

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4

Tao, Fang Fang, Xia Xiao, Kin Fong Lei, and I.-Chi Lee. "Paper-based cell culture microfluidic system." BioChip Journal 9, no. 2 (March 18, 2015): 97–104. http://dx.doi.org/10.1007/s13206-015-9202-7.

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5

HAVEELA, B. SHANTHI, D. KOTESWARA RAJU D.KOTESWARA RAJU, and Dr P. SANGAMESWARA RAJU Dr. P.SANGAMESWARA RAJU. "A Fuel Cell Based Multilevel Dc-Dc Boost Converter System with Pi and Fuzzy Control." International Journal of Scientific Research 2, no. 9 (June 1, 2012): 152–56. http://dx.doi.org/10.15373/22778179/sep2013/55.

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6

GAO, Rui. "Model-Based Development of Fuel Cell System." Proceedings of Mechanical Engineering Congress, Japan 2016 (2016): J1020103. http://dx.doi.org/10.1299/jsmemecj.2016.j1020103.

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7

Ekekwe, N., B. Armiger, and K. Murray. "Cell holding system for microcoil-based MRI." Journal of Optics A: Pure and Applied Optics 10, no. 4 (March 28, 2008): 044010. http://dx.doi.org/10.1088/1464-4258/10/4/044010.

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8

Kawahara, Tomohiro, Shigeo Ohashi, Masaya Hagiwara, Yoko Yamanishi, and Fumihito Arai. "Air-Flow-Based Single-Cell Dispensing System." Advanced Robotics 26, no. 3-4 (January 2012): 291–306. http://dx.doi.org/10.1163/156855311x614572.

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9

Sheng-qun, Tang, Xiao Shu, and Li Zhen. "Research on software-cell-based software system." Wuhan University Journal of Natural Sciences 6, no. 3 (December 2001): 652–58. http://dx.doi.org/10.1007/bf02830277.

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10

LEE, P., N. GHORASHIAN, T. GAIGE, and P. HUNG. "Microfluidic System for Automated Cell-Based Assays." Journal of the Association for Laboratory Automation 12, no. 6 (December 2007): 363–67. http://dx.doi.org/10.1016/j.jala.2007.07.001.

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11

Pirlo, Russell K., Delphine M. D. Dean, Daniel R. Knapp, and Bruce Z. Gao. "Cell deposition system based on laser guidance." Biotechnology Journal 1, no. 9 (September 2006): 1007–13. http://dx.doi.org/10.1002/biot.200600127.

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12

BELHADJ, Hamdi, Kaoru UESUGI, and Keisuke MORISHIMA. "Image Processing based Closed Loop Automated Control System for Cell Bio-Manipulation using LabVIEW and FPGA." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2017 (2017): 2P2—L05. http://dx.doi.org/10.1299/jsmermd.2017.2p2-l05.

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13

Gao, Jian-Qing, Naoki Okada, Tadanori Mayumi, and Shinsaku Nakagawa. "Immune Cell Recruitment and Cell-Based System for Cancer Therapy." Pharmaceutical Research 25, no. 4 (September 22, 2007): 752–68. http://dx.doi.org/10.1007/s11095-007-9443-9.

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14

DeBusschere, B. Derek, and Gregory T. A. Kovacs. "Portable cell-based biosensor system using integrated CMOS cell-cartridges." Biosensors and Bioelectronics 16, no. 7-8 (September 2001): 543–56. http://dx.doi.org/10.1016/s0956-5663(01)00168-3.

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15

ISOBE, Mari, Yumika SUZUKI, Hideshi SUGIURA, Masahiro SHIBATA, Yuki OHSAKI, and Satoshi KAMETAKA. "Novel cell-based system to assay cell-cell fusion during myotube formation." Biomedical Research 43, no. 4 (August 18, 2022): 107–14. http://dx.doi.org/10.2220/biomedres.43.107.

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16

HAO, Zhi-jie, Xiao-dong XU, Ying-hong ZHAO, Xiao-feng TAO, Lin-jun LI, and Zhong-qi ZHANG. "System utility based resource allocation for multi-cell OFDM system." Journal of China Universities of Posts and Telecommunications 17, no. 2 (April 2010): 14–45. http://dx.doi.org/10.1016/s1005-8885(09)60439-8.

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17

Miroshin, D. G., and R. E. Taragara. "FLEXIBLE AUTOMATED CELL CONTROL SYSTEM BASED ON THE SCADA-SYSTEM." Spravochnik. Inzhenernyi zhurnal, no. 300 (March 2022): 3–7. http://dx.doi.org/10.14489/hb.2022.03.pp.003-007.

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Анотація:

The article discusses the issues of digital control of flexible automated production and the possibilities of the Simatic WinCC SCADA-system for the development and visualization of a flexible automated cell control system. The composition of the flexible automated cell equipment is given, the structure, the purpose of the interface elements and the principle of operation of the control system are described, and the flexible automated cell control system developed in the SIMATIC WinCC software is illustrated. The description of on-screen functions presented in the form of menu items in the SCADA-system of a flexible automated cell is given and their structure, content, purpose and principle of operation, as well as the description and purpose of background soft keys are revealed. The description of the test and automatic modes of operation of the cell and their reflection in the SCADA-system is given. The safety system for automatic operation of a flexible automated cell is also described.

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18

Chu, Hong-yan, Quan-jun Cao, and Ren-yuan Fei. "MAS-based production scheduling system for manufacturing cell-based workshop." Frontiers of Mechanical Engineering in China 1, no. 4 (December 2006): 375–80. http://dx.doi.org/10.1007/s11465-006-0043-x.

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19

Sharp, Jason, and Hans S. Keirstead. "Stem cell-based cell replacement strategies for the central nervous system." Neuroscience Letters 456, no. 3 (June 2009): 107–11. http://dx.doi.org/10.1016/j.neulet.2008.04.106.

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20

Oda, Hiroki, Shoichiro Tsukita, and Masatoshi Takeichi. "Dynamic Behavior of the Cadherin-Based Cell–Cell Adhesion System duringDrosophilaGastrulation." Developmental Biology 203, no. 2 (November 1998): 435–50. http://dx.doi.org/10.1006/dbio.1998.9047.

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21

VAN MIERLO, Joeri, Jean-Marc Timmermans, Gaston MAGGETTO, and Peter VAN DEN BOSSCHE. "Peak Power based Fuel Cell Hybrid Propulsion System." World Electric Vehicle Journal 1, no. 1 (March 28, 2008): 54–61. http://dx.doi.org/10.3390/wevj1010054.

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22

Nakane, Takuma, Hisatoshi Mimura, Toshihisa Osaki, Norihisa Miki, and Shoji Takeuchi. "Gas flow system for cell-based odorant sensor." Proceedings of the Symposium on Micro-Nano Science and Technology 2020.11 (2020): 27A2—MN2–6. http://dx.doi.org/10.1299/jsmemnm.2020.11.27a2-mn2-6.

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23

Müller, E., S. Horbach, J. Ackermann, J. Schütze, and H. Baum. "Production system planning in Competence-Cell-based Networks." International Journal of Production Research 44, no. 18-19 (September 15, 2006): 3989–4009. http://dx.doi.org/10.1080/00207540600794545.

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24

MATSUMOTO, Takayoshi, Yoshitaka WADA, and Masanori KIKUCHI. "Development of a parallel cell based computing system." Proceedings of The Computational Mechanics Conference 2003.16 (2003): 993–94. http://dx.doi.org/10.1299/jsmecmd.2003.16.993.

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25

MATSUMOTO, Takayoshi, Yoshitaka WADA, and Masanori KIKUCHI. "Parallel cell based computing system using cellular automaton." Proceedings of The Computational Mechanics Conference 2004.17 (2004): 671–72. http://dx.doi.org/10.1299/jsmecmd.2004.17.671.

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26

Pancrazio, Joseph J., Paul P. Bey Jr, David S. Cuttino, Julian K. Kusel, David A. Borkholder, Kara M. Shaffer, Gregory T. A. Kovacs, and David A. Stenger. "Portable cell-based biosensor system for toxin detection." Sensors and Actuators B: Chemical 53, no. 3 (December 1998): 179–85. http://dx.doi.org/10.1016/s0925-4005(98)00340-2.

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27

Jayadeva, Uminder Singh, and Basabi Bhaumik. "GENESIS—A Standard Cell Based VLSI Design System." IETE Journal of Research 36, no. 3-4 (May 1990): 259–64. http://dx.doi.org/10.1080/03772063.1990.11436891.

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28

Sato, Kae, Kazuma Mawatari, and Takehiko Kitamori. "Microchip-based cell analysis and clinical diagnosis system." Lab on a Chip 8, no. 12 (2008): 1992. http://dx.doi.org/10.1039/b814098g.

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29

Gu, Qingyi, Tomohiro Kawahara, Tadayoshi Aoyama, Takeshi Takaki, Idaku Ishii, Ayumi Takemoto, and Naoaki Sakamoto. "LOC-Based High-Throughput Cell Morphology Analysis System." IEEE Transactions on Automation Science and Engineering 12, no. 4 (October 2015): 1346–56. http://dx.doi.org/10.1109/tase.2015.2462118.

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30

Tibbe, Arjan G. J., Bart G. de Grooth, Jan Greve, Chandra Rao, Gerald J. Dolan, and Leon W. M. M. Terstappen. "Cell analysis system based on compact disk technology." Cytometry 47, no. 3 (February 19, 2002): 173–82. http://dx.doi.org/10.1002/cyto.10061.

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31

Dogterom, Marileen. "A Minimal System for Microtubule-Based Cell Polarity." Biophysical Journal 114, no. 3 (February 2018): 388a. http://dx.doi.org/10.1016/j.bpj.2017.11.2146.

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32

Prickett, P., and J. Coleman. "The implementation of a cell-based manufacturing system." International Journal of Advanced Manufacturing Technology 7, no. 4 (July 1992): 203–9. http://dx.doi.org/10.1007/bf02601625.

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33

Sakaguchi, Katsuhisa, Kei Akimoto, Masanori Takaira, Ryu-ichiro Tanaka, Tatsuya Shimizu, and Shinjiro Umezu. "Cell-Based Microfluidic Device Utilizing Cell Sheet Technology." Cyborg and Bionic Systems 2022 (January 27, 2022): 1–8. http://dx.doi.org/10.34133/2022/9758187.

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Анотація:

The development of microelectromechanical systems has resulted in the rapid development of polydimethylpolysiloxane (PDMS) microfluidic devices for drug screening models. Various cell functions, such as the response of endothelial cells to fluids, have been elucidated using microfluidic devices. Additionally, organ-on-a-chip systems that include organs that are important for biological circulation, such as the heart, liver, pancreas, kidneys, and brain, have been developed. These organs realize the biological circulation system in a manner that cannot be reproduced by artificial organs; however, the flow channels between the organs are often artificially created by PDMS. In this study, we developed a microfluidic device consisting only of cells, by combining cell sheet technology with microtitanium wires. Microwires were placed between stacked fibroblast cell sheets, and the cell sheets adhered to each other, after which the microwires were removed leaving a luminal structure with a size approximately equal to the arteriolar size. The lumen structure was constructed using wires with diameters of 50, 100, 150, and 200 μm, which were approximations of the arteriole diameters. Furthermore, using a perfusion device, we successfully perfused the luminal structure created inside the cell sheets. The results revealed that a culture solution can be supplied to a cell sheet with a very high cell density. The biofabrication technology proposed in this study can contribute to the development of organ-on-a-chip systems.

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34

Alam, Abul Hasan Md Badiul, Junichiro Takeuchi, and Toshihiko Kawachi. "GA-designed Fuzzy Rule-based System for Parameter Estimation of Distributed Rainfall-runoff Model Considering Various Cell Characteristics." Journal of Rainwater Catchment Systems 12, no. 2 (2007): 29–37. http://dx.doi.org/10.7132/jrcsa.kj00004557612.

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35

Bonzon, David, Georges Muller, Jean-Baptiste Bureau, Nicolas Uffer, Nicolas Beuchat, Yann Barrandon, and Philippe Renaud. "Impedance-Based Single-Cell Pipetting." SLAS TECHNOLOGY: Translating Life Sciences Innovation 25, no. 3 (March 14, 2020): 222–33. http://dx.doi.org/10.1177/2472630320911636.

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Анотація:

Many biological methods are based on single-cell isolation. In single-cell line development, the gold standard involves the dilution of cells by means of a pipet. This process is time-consuming as it is repeated over several weeks to ensure clonality. Here, we report the modeling, designing, and testing of a disposable pipet tip integrating a cell sensor based on the Coulter principle. We investigate, test, and discuss the effects of design parameters on the sensor performances with an analytical model. We also describe a system that enables the dispensing of single cells using an instrumented pipet coupled with the sensing tip. Most importantly, this system allows the recording of an impedance trace to be used as proof of single-cell isolation. We assess the performances of the system with beads and cells. Finally, we show that the electrical detection has no effect on cell viability.

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36

EBISUYA, Miki, and Mitsuhiro MATSUDA. "Reconstitution of a Cell-Cell Communication System Based on Delta-Notch Signaling." Seibutsu Butsuri 53, no. 3 (2013): 162–63. http://dx.doi.org/10.2142/biophys.53.162.

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37

Yang, Chen, Miaomiao Yang, Wanhua Zhao, Yue Ding, Yu Wang, and Jian Li. "Establishing a Klebsiella pneumoniae-Based Cell-Free Protein Synthesis System." Molecules 27, no. 15 (July 22, 2022): 4684. http://dx.doi.org/10.3390/molecules27154684.

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Анотація:

Cell-free protein synthesis (CFPS) systems are emerging as powerful platforms for in vitro protein production, which leads to the development of new CFPS systems for different applications. To expand the current CFPS toolkit, here we develop a novel CFPS system derived from a chassis microorganism Klebsiella pneumoniae, an important industrial host for heterologous protein expression and the production of many useful chemicals. First, we engineered the K. pneumoniae strain by deleting a capsule formation-associated wzy gene. This capsule-deficient strain enabled easy collection of the cell biomass for preparing cell extracts. Then, we optimized the procedure of cell extract preparation and the reaction conditions for CFPS. Finally, the optimized CFPS system was able to synthesize a reporter protein (superfolder green fluorescent protein, sfGFP) with a maximum yield of 253 ± 15.79 μg/mL. Looking forward, our K. pneumoniae-based CFPS system will not only expand the toolkit for protein synthesis, but also provide a new platform for constructing in vitro metabolic pathways for the synthesis of high-value chemicals.

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38

Schmieder, Florian, Christoph Polk, Felix Gottlöber, Patrick Schöps, Frank Sonntag, Ronny Deuse, Aline Jede, and Thomas Petzold. "Universal LIMS based platform for the automated processing of cell-based assays." Current Directions in Biomedical Engineering 5, no. 1 (September 1, 2019): 437–39. http://dx.doi.org/10.1515/cdbme-2019-0110.

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Анотація:

AbstractNowadays, cell-based assays are an elementary tool for diagnostics, animal-free substance testing and basic research. Depending on the application, the spectrum ranges from simple static cell cultures in microtiter plates to dynamic co-cultures in complex micro physiological systems (organ-on-a-chip). Depending on the complexity of the assay, numerous working steps have to be performed and the data from different analysis systems have to be processed, combined and documented. A universal platform has been developed for the automated handling of cell-based assays, which combines a laboratory information management system (LIMS) with a laboratory execution system (LES), a universal laboratory automation platform and established laboratory equipment. The LIMS handles the administration of all laboratory-relevant information, the planning, control and monitoring of laboratory processes, as well as the direct and qualified processing of raw data. Using a kidney-on-achip system as an example, the realization of complex cellbased assays for the animal-free characterization of the toxicity of different antibiotics will be demonstrated. In the kidney-on-a-chip system the artificial proximal tubular barrier was formed by seeding human immortalized proximal tubule cells (RPTEC) and human blood outgrowth endothelial cells (BOEC) on ThinCert™ membranes. Transepithelial electrical resistance (TEER) was measured daily to evaluate the barrier function of the cellular layers. Fluid handling and TEER measurements were performed using a laboratory automation platform that communicates directly with the LIMS. The LES supports laboratory assistants in executing the manual handling steps of the experiments.

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39

Nasution, Darmeli, Donni Nasution, and Solly Aryza Lubis. "Ehance A Methode Power System Policies Based On SCS (Solar Cell System)." Journal of Physics: Conference Series 1361 (November 2019): 012046. http://dx.doi.org/10.1088/1742-6596/1361/1/012046.

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40

Chavadi, Pooja, and Sonali Pandit. "Modeling of PEM Fuel Cell Based Power Generation System." IJIREEICE 4, no. 2 (April 11, 2016): 136–41. http://dx.doi.org/10.17148/ijireeice/ncaee.2016.27.

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41

Barata, José, Gonçalo Cândido, and Armando Colombo. "A MULTIAGENT BASED CONTROL SYSTEM FOR AN ASSEMBLY CELL." IFAC Proceedings Volumes 40, no. 3 (2007): 116–21. http://dx.doi.org/10.3182/20070523-3-es-4908.00020.

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42

Wang, Ronghang, Bingxin Liu, Jiahao Gong, Jinlu Zhang, Meng Gao, Lunjia Zhang, Xuelin Wang, Sen Chen, Jie Hong, and Lin Gui. "Development of a bubble-based single cell picking system." Journal of Micromechanics and Microengineering 32, no. 3 (February 14, 2022): 035006. http://dx.doi.org/10.1088/1361-6439/ac4c96.

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Анотація:

Abstract In this work, we proposed a novel method to ‘pick’ single cell from a cluster of cells using bubbles as ‘fingers’. Particularly, the bubble was generated in the cell suspension solution via the pores in a porous membrane sandwiched between the solution channel and the gas channel. Controlling the pressure of the gas and the cell suspension could produce a bubble with certain size in the solution channel, and the bubble could capture a cell in its surface due to the interfacial tension between the cell suspension solution and the bubble, and then transfer the cell away. A simplified mechanical model was built to interpret the mechanism of the cell control. This method can be easily applied on multiple fields, including the single cell analysis, drug screening, cells sorting, and tumor biology, since it could separate a single cell from the cell cluster efficiently.

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43

Zhu, Yu Wei, and Bing Shi. "A Cell Balancing System Based on Charge Shuttling Method." Advanced Materials Research 986-987 (July 2014): 1892–96. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.1892.

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Анотація:

As one of the most essential part in a battery management system for a lithium battery, cell balancing determine its performance and lifetime. A new “flying capacitor” method is presented in this paper. Where, a clock-switched circuit changer matrix makes the charges flow from the high-voltage cells to the low-voltage cells. Some super-capacitors buffer the charge and redistribute energy of the cells in the battery. The implementation is also low-cost and its design period is short. The result shows that the method is feasible.

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44

Kaipparettu, Benny Abraham, Isere Kuiatse, Bonita Tak-Yee Chan, Meju Benny Kaipparettu, Adrian V. Lee, and Steffi Oesterreich. "Novel egg white–based 3-D cell culture system." BioTechniques 45, no. 2 (August 2008): 165–71. http://dx.doi.org/10.2144/000112883.

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45

Niland, Joyce C., Tracey Stiller, James Cravens, Janice Sowinski, John Kaddis, and Dajun Qian. "Effectiveness of a Web-Based Automated Cell Distribution System." Cell Transplantation 19, no. 9 (September 2010): 1133–42. http://dx.doi.org/10.3727/096368910x505486.

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