Article Sidebar
-
Industrial Applications, Medical Applications, Quantum Imaging
Abstract
Quantum imaging is a quantum principle-based imaging technology that shows great potential in medical and industrial applications. This study was conducted to evaluate the advantages of quantum imaging compared to conventional technology in terms of energy efficiency, image resolution, and detection accuracy. The research design uses an experimental approach with testing on biological networks for medical applications and metal materials for industrial applications. The data was quantitatively analyzed to measure energy efficiency, resolution, and accuracy and compared with the results of conventional technologies. The results show that quantum imaging is able to improve energy efficiency by up to 35%, produce an image resolution of 200 nm, and achieve a detection accuracy of 95% in medical applications and 92% in industrial applications. In medical applications, this technology enables early diagnosis of diseases through the detection of molecular changes, while in industrial applications, it is capable of detecting microcracks that are difficult to see. This advantage shows that quantum imaging can be an innovative solution for modern imaging needs. The conclusion of this study is that quantum imaging has the potential to replace conventional imaging technology with advantages in efficiency, resolution, and accuracy. Further research is needed to overcome the limitations of large-scale implementation of this technology and develop more practical devices.
Full text article
References
Al-Abyad, M. (2022). Nuclear reaction data for medical and industrial applications: Recent contributions by Egyptian cyclotron group. Radiochimica Acta, 110(6), 675–688. https://doi.org/10.1515/ract-2021-1118
Almuqrin, M. A. (2022). Statistical Inference for Competing Risks Model with Adaptive Progressively Type-II Censored Gompertz Life Data Using Industrial and Medical Applications. Mathematics, 10(22). https://doi.org/10.3390/math10224274
Bai, Y. (2021). Self-Targeting Carbon Quantum Dots for Peroxynitrite Detection and Imaging in Live Cells. Analytical Chemistry, 93(49), 16466–16473. https://doi.org/10.1021/acs.analchem.1c03515
Campa, F. (2021). Assessment of body composition in athletes: A narrative review of available methods with special reference to quantitative and qualitative bioimpedance analysis. Nutrients, 13(5). https://doi.org/10.3390/nu13051620
Cao, X. (2022). Yeast powder derived carbon quantum dots for dopamine detection and living cell imaging. Analytical Methods, 14(13), 1342–1350. https://doi.org/10.1039/d2ay00231k
Chen, J. (2021). Synthesis of biocompatible and highly fluorescent N-doped silicon quantum dots from wheat straw and ionic liquids for heavy metal detection and cell imaging. Science of the Total Environment, 765(Query date: 2024-12-07 08:16:42). https://doi.org/10.1016/j.scitotenv.2020.142754
Chen, W. (2021). Innovative Traceability Application in Medical Devices Industry Using the Identification and Resolution System for Industrial Internet. Proceedings - 2021 13th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2021, Query date: 2024-12-07 15:17:52, 72–76. https://doi.org/10.1109/ICMTMA52658.2021.00026
Chen, X. (2021). Ultrasmall green-emitting carbon nanodots with 80% photoluminescence quantum yield for lysosome imaging. Chinese Chemical Letters, 32(10), 3048–3052. https://doi.org/10.1016/j.cclet.2021.03.061
Corami, F. (2020). A novel method for purification, quantitative analysis and characterization of microplastic fibers using Micro-FTIR. Chemosphere, 238(Query date: 2024-12-01 09:57:11). https://doi.org/10.1016/j.chemosphere.2019.124564
Cui, D. (2023). Quantum Imaging Exploiting Twisted Photon Pairs. Advanced Quantum Technologies, 6(5). https://doi.org/10.1002/qute.202300037
Esmail, S. S. (2024). Production and partial purification of an innovative heat resistant ?-keratinase with some remarkable medical and industrial applications. Egyptian Pharmaceutical Journal, 23(4), 670–685. https://doi.org/10.4103/epj.epj_56_24
Garg, M. (2022). Real-space subfemtosecond imaging of quantum electronic coherences in molecules. Nature Photonics, 16(3), 196–202. https://doi.org/10.1038/s41566-021-00929-1
Horie, M. (2022). Recent advances in animal cell technologies for industrial and medical applications. Journal of Bioscience and Bioengineering, 133(6), 509–514. https://doi.org/10.1016/j.jbiosc.2022.03.005
Huang, X. (2021). Research advance on cell imaging and cytotoxicity of different types of quantum Dots. Journal of Applied Toxicology, 41(3), 342–361. https://doi.org/10.1002/jat.4083
James, J. (2024). Nanotechnology-driven improvisation of red algae-derived carrageenan for industrial and bio-medical applications. World Journal of Microbiology and Biotechnology, 40(1). https://doi.org/10.1007/s11274-023-03787-x
Khan, M. E. (2022). State-of-the-art developments in carbon quantum dots (CQDs): Photo-catalysis, bio-imaging, and bio-sensing applications. Chemosphere, 302(Query date: 2024-12-07 08:16:42). https://doi.org/10.1016/j.chemosphere.2022.134815
Kim, J. (2022). Vertically Stacked Full Color Quantum Dots Phototransistor Arrays for High-Resolution and Enhanced Color-Selective Imaging. Advanced Materials, 34(2). https://doi.org/10.1002/adma.202106215
Kumar, R. (2022). Optimization of Bio-Impedance Techniques-Based Monitoring System for Medical & Industrial Applications. IETE Journal of Research, 68(5), 3843–3854. https://doi.org/10.1080/03772063.2020.1780957
Kumar, R. (2024). Non-Invasive Bio-Impedance Imaging and Sensing for Medical Diagnostics and Industrial Applications. Journal of the Electrochemical Society, 171(10). https://doi.org/10.1149/1945-7111/ad830b
Kundu, S. (2021). State of the Art and Perspectives on the Biofunctionalization of Fluorescent Metal Nanoclusters and Carbon Quantum Dots for Targeted Imaging and Drug Delivery. Langmuir, 37(31), 9281–9301. https://doi.org/10.1021/acs.langmuir.1c00732
Li, T. (2022). Quantum-enhanced stimulated Brillouin scattering spectroscopy and imaging. Optica, 9(8), 959–964. https://doi.org/10.1364/OPTICA.467635
Li, Z. (2020). From community-acquired pneumonia to COVID-19: A deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans. European Radiology, 30(12), 6828–6837. https://doi.org/10.1007/s00330-020-07042-x
Ma, J. (2022). Review of Quanta Image Sensors for Ultralow-Light Imaging. IEEE Transactions on Electron Devices, 69(6), 2824–2839. https://doi.org/10.1109/TED.2022.3166716
Madonini, F. (2021). Single Photon Avalanche Diode Arrays for Quantum Imaging and Microscopy. Advanced Quantum Technologies, 4(7). https://doi.org/10.1002/qute.202100005
Magdy, G. (2023). Rapid microwave-assisted synthesis of nitrogen-doped carbon quantum dots as fluorescent nanosensors for the spectrofluorimetric determination of palbociclib: Application for cellular imaging and selective probing in living cancer cells. RSC Advances, 13(7), 4156–4167. https://doi.org/10.1039/d2ra05759j
Mortazavi, S. M. J. (2024). Lead-free, multilayered, and nanosized radiation shields in medical applications, industrial, and space research. Advanced Radiation Shielding Materials: Radiation and Radiological Protection, Query date: 2024-12-07 15:17:52, 305–322. https://doi.org/10.1016/B978-0-323-95387-0.00006-6
Nauta, M. (2023). From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. ACM Computing Surveys, 55(13). https://doi.org/10.1145/3583558
O’Brien, W. (2020). Does telecommuting save energy? A critical review of quantitative studies and their research methods. Energy and Buildings, 225(Query date: 2024-12-01 09:57:11). https://doi.org/10.1016/j.enbuild.2020.110298
Prasad, N. (2023). Recent development in the medical and industrial applications of gum karaya: A review. Polymer Bulletin, 80(4), 3425–3447. https://doi.org/10.1007/s00289-022-04227-w
Ravaioli, S. (2024). The Opportunistic Pathogen Staphylococcus warneri: Virulence and Antibiotic Resistance, Clinical Features, Association with Orthopedic Implants and Other Medical Devices, and a Glance at Industrial Applications. Antibiotics, 13(10). https://doi.org/10.3390/antibiotics13100972
Reagen, S. (2021). Synthesis of Highly Near-Infrared Fluorescent Graphene Quantum Dots Using Biomass-Derived Materials for in Vitro Cell Imaging and Metal Ion Detection. ACS Applied Materials and Interfaces, 13(37), 43952–43962. https://doi.org/10.1021/acsami.1c10533
Sanjayan, C. G. (2022). Stabilization of CsPbBr3 quantum dots for photocatalysis, imaging and optical sensing in water and biological medium: A review. Journal of Materials Chemistry C, 10(18), 6935–6956. https://doi.org/10.1039/d2tc00340f
Shastri, A. (2023). Miniature Ultra- Wideband Antenna for Smart Homes and Wearable Advanced Industrial and Medical Applications. International Conference on Electromagnetics in Advanced Applications and IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, ICEAA-APWC 2023, Query date: 2024-12-07 15:17:52, 128–133. https://doi.org/10.1109/APWC57320.2023.10297506
Shen, H. (2022). Rational Design of NIR-II AIEgens with Ultrahigh Quantum Yields for Photo- and Chemiluminescence Imaging. Journal of the American Chemical Society, 144(33), 15391–15402. https://doi.org/10.1021/jacs.2c07443
Tayaba, S. (2023). Silicon-Germanium and carbon-based superconductors for electronic, industrial, and medical applications. Materials Science and Engineering: B, 290(Query date: 2024-12-07 15:17:52). https://doi.org/10.1016/j.mseb.2023.116332
Xu, Q. (2021a). Quantum dots in cell imaging and their safety issues. Journal of Materials Chemistry B, 9(29), 5765–5779. https://doi.org/10.1039/d1tb00729g
Xu, Q. (2021b). Ultra-flexible and highly sensitive scintillation screen based on perovskite quantum dots for non-flat objects X-ray imaging. Materials Today Physics, 18(Query date: 2024-12-07 08:16:42). https://doi.org/10.1016/j.mtphys.2021.100390
Yang, J. (2021). Site-Resolved Imaging of Ultracold Fermions in a Triangular-Lattice Quantum Gas Microscope. PRX Quantum, 2(2). https://doi.org/10.1103/PRXQuantum.2.020344
Zhang, Y. (2022). Heterologous Gene Regulation in Clostridia: Rationally Designed Gene Regulation for Industrial and Medical Applications. ACS Synthetic Biology, 11(11), 3817–3828. https://doi.org/10.1021/acssynbio.2c00401
Authors
Copyright (c) 2024 Mutmainnah Mutmainnah, Khazali Fahmi, Raditya Faradina Pratiwi, Adhi Kusumadjati
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
