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For: Albrecht T, Slabaugh G, Alonso E, Al-Arif SMMR. Deep learning for single-molecule science. Nanotechnology 2017;28:423001. [PMID: 28762339 DOI: 10.1088/1361-6528/aa8334] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Number Cited by Other Article(s)
1
Mittal S, Jena MK, Pathak B. Machine learning empowered next generation DNA sequencing: perspective and prospectus. Chem Sci 2024;15:12169-12188. [PMID: 39118630 PMCID: PMC11304540 DOI: 10.1039/d4sc01714e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 07/07/2024] [Indexed: 08/10/2024]  Open
2
Safdar Ali Khan M, Husen A, Nisar S, Ahmed H, Shah Muhammad S, Aftab S. Offloading the computational complexity of transfer learning with generic features. PeerJ Comput Sci 2024;10:e1938. [PMID: 38660182 PMCID: PMC11041970 DOI: 10.7717/peerj-cs.1938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/19/2024] [Indexed: 04/26/2024]
3
Komoto Y, Ryu J, Taniguchi M. Total variation denoising-based method of identifying the states of single molecules in break junction data. DISCOVER NANO 2024;19:20. [PMID: 38285285 PMCID: PMC10825082 DOI: 10.1186/s11671-024-03963-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/22/2024] [Indexed: 01/30/2024]
4
Liu L, Du K. A perspective on computer vision in biosensing. BIOMICROFLUIDICS 2024;18:011301. [PMID: 38223547 PMCID: PMC10787640 DOI: 10.1063/5.0185732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 12/26/2023] [Indexed: 01/16/2024]
5
Kufel J, Bargieł-Łączek K, Kocot S, Koźlik M, Bartnikowska W, Janik M, Czogalik Ł, Dudek P, Magiera M, Lis A, Paszkiewicz I, Nawrat Z, Cebula M, Gruszczyńska K. What Is Machine Learning, Artificial Neural Networks and Deep Learning?-Examples of Practical Applications in Medicine. Diagnostics (Basel) 2023;13:2582. [PMID: 37568945 PMCID: PMC10417718 DOI: 10.3390/diagnostics13152582] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 07/19/2023] [Accepted: 08/01/2023] [Indexed: 08/13/2023]  Open
6
Tao S, Zhang Q, Pitie S, Liu C, Fan Y, Zhao C, Seydou M, Dappe YJ, Nichols RJ, Yang L. Revealing conductance variation of molecular junctions based on an unsupervised data analysis approach. Electrochim Acta 2023. [DOI: 10.1016/j.electacta.2023.142225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2023]
7
Weaver C, Fortuin AC, Vladyka A, Albrecht T. Unsupervised classification of voltammetric data beyond principal component analysis. Chem Commun (Camb) 2022;58:10170-10173. [PMID: 36004566 DOI: 10.1039/d2cc03187f] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
8
Bro-Jørgensen W, Hamill JM, Bro R, Solomon GC. Trusting our machines: validating machine learning models for single-molecule transport experiments. Chem Soc Rev 2022;51:6875-6892. [PMID: 35686581 PMCID: PMC9377421 DOI: 10.1039/d1cs00884f] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Indexed: 11/21/2022]
9
Khodadadian A, Parvizi M, Teshnehlab M, Heitzinger C. Rational Design of Field-Effect Sensors Using Partial Differential Equations, Bayesian Inversion, and Artificial Neural Networks. SENSORS (BASEL, SWITZERLAND) 2022;22:4785. [PMID: 35808281 PMCID: PMC9269136 DOI: 10.3390/s22134785] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/17/2022] [Accepted: 06/21/2022] [Indexed: 02/06/2023]
10
Wu Y, Jamali S, Tilley RD, Gooding JJ. Spiers Memorial Lecture. Next generation nanoelectrochemistry: the fundamental advances needed for applications. Faraday Discuss 2022;233:10-32. [PMID: 34874385 DOI: 10.1039/d1fd00088h] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
11
Rabbi F, Dabbagh SR, Angin P, Yetisen AK, Tasoglu S. Deep Learning-Enabled Technologies for Bioimage Analysis. MICROMACHINES 2022;13:mi13020260. [PMID: 35208385 PMCID: PMC8880650 DOI: 10.3390/mi13020260] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 01/31/2022] [Accepted: 02/03/2022] [Indexed: 02/05/2023]
12
Wen C, Dematties D, Zhang SL. A Guide to Signal Processing Algorithms for Nanopore Sensors. ACS Sens 2021;6:3536-3555. [PMID: 34601866 PMCID: PMC8546757 DOI: 10.1021/acssensors.1c01618] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/20/2021] [Indexed: 12/19/2022]
13
Lin D, Zhao Z, Pan H, Li S, Wang Y, Wang D, Sanvito S, Hou S. Using Weakly Supervised Deep Learning to Classify and Segment Single-Molecule Break-Junction Conductance Traces. Chemphyschem 2021;22:2107-2114. [PMID: 34324254 DOI: 10.1002/cphc.202100414] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/23/2021] [Indexed: 11/11/2022]
14
He H, Yan S, Lyu D, Xu M, Ye R, Zheng P, Lu X, Wang L, Ren B. Deep Learning for Biospectroscopy and Biospectral Imaging: State-of-the-Art and Perspectives. Anal Chem 2021;93:3653-3665. [PMID: 33599125 DOI: 10.1021/acs.analchem.0c04671] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
15
Banerjee A, Maity S, Mastrangelo CH. Nanostructures for Biosensing, with a Brief Overview on Cancer Detection, IoT, and the Role of Machine Learning in Smart Biosensors. SENSORS (BASEL, SWITZERLAND) 2021;21:1253. [PMID: 33578726 PMCID: PMC7916491 DOI: 10.3390/s21041253] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 02/04/2021] [Accepted: 02/07/2021] [Indexed: 01/03/2023]
16
Zheng X, Jia R, Aisikaer, Gong L, Zhang G, Dang J. Component identification and defect detection in transmission lines based on deep learning. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-189353] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
17
Armstrong RE, Horáček M, Zijlstra P. Plasmonic Assemblies for Real-Time Single-Molecule Biosensing. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2020;16:e2003934. [PMID: 33258287 DOI: 10.1002/smll.202003934] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 10/09/2020] [Indexed: 05/11/2023]
18
Cui F, Yue Y, Zhang Y, Zhang Z, Zhou HS. Advancing Biosensors with Machine Learning. ACS Sens 2020;5:3346-3364. [PMID: 33185417 DOI: 10.1021/acssensors.0c01424] [Citation(s) in RCA: 208] [Impact Index Per Article: 52.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
19
Dabbagh SR, Rabbi F, Doğan Z, Yetisen AK, Tasoglu S. Machine learning-enabled multiplexed microfluidic sensors. BIOMICROFLUIDICS 2020;14:061506. [PMID: 33343782 PMCID: PMC7733540 DOI: 10.1063/5.0025462] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Accepted: 12/01/2020] [Indexed: 05/02/2023]
20
Bahlke MP, Mogos N, Proppe J, Herrmann C. Exchange Spin Coupling from Gaussian Process Regression. J Phys Chem A 2020;124:8708-8723. [DOI: 10.1021/acs.jpca.0c05983] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
21
Vladyka A, Albrecht T. Unsupervised classification of single-molecule data with autoencoders and transfer learning. MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2020. [DOI: 10.1088/2632-2153/aba6f2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
22
Kollenz P, Herten DP, Buckup T. Unravelling the Kinetic Model of Photochemical Reactions via Deep Learning. J Phys Chem B 2020;124:6358-6368. [PMID: 32589422 DOI: 10.1021/acs.jpcb.0c04299] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
23
Fu T, Zang Y, Zou Q, Nuckolls C, Venkataraman L. Using Deep Learning to Identify Molecular Junction Characteristics. NANO LETTERS 2020;20:3320-3325. [PMID: 32242671 DOI: 10.1021/acs.nanolett.0c00198] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
24
Celik N, O'Brien F, Brennan S, Rainbow RD, Dart C, Zheng Y, Coenen F, Barrett-Jolley R. Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. Commun Biol 2020;3:3. [PMID: 31925311 PMCID: PMC6946689 DOI: 10.1038/s42003-019-0729-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 12/06/2019] [Indexed: 12/05/2022]  Open
25
Hu W, Zhang Y, Li L. Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images. SENSORS 2019;19:s19163584. [PMID: 31426516 PMCID: PMC6718995 DOI: 10.3390/s19163584] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 08/09/2019] [Accepted: 08/15/2019] [Indexed: 12/01/2022]
26
Im J, Lindsay S, Wang X, Zhang P. Single Molecule Identification and Quantification of Glycosaminoglycans Using Solid-State Nanopores. ACS NANO 2019;13:6308-6318. [PMID: 31121093 DOI: 10.1021/acsnano.9b00618] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
27
Analytical modeling of the junction evolution in single-molecule break junctions: towards quantitative characterization of the time-dependent process. Sci China Chem 2019. [DOI: 10.1007/s11426-019-9493-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
28
Sui XJ, Li MY, Ying YL, Yan BY, Wang HF, Zhou JL, Gu Z, Long YT. Aerolysin Nanopore Identification of Single Nucleotides Using the AdaBoost Model. JOURNAL OF ANALYSIS AND TESTING 2019. [DOI: 10.1007/s41664-019-00088-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
29
Riordon J, Sovilj D, Sanner S, Sinton D, Young EW. Deep Learning with Microfluidics for Biotechnology. Trends Biotechnol 2019;37:310-324. [DOI: 10.1016/j.tibtech.2018.08.005] [Citation(s) in RCA: 113] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 08/22/2018] [Accepted: 08/23/2018] [Indexed: 12/13/2022]
30
Li B, Wei W, Yan X, Zhang X, Liu P, Luo Y, Zheng J, Lu Q, Lin Q, Ren X. Mimicking synaptic functionality with an InAs nanowire phototransistor. NANOTECHNOLOGY 2018;29:464004. [PMID: 30246691 DOI: 10.1088/1361-6528/aadf63] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
31
Silva GA. A New Frontier: The Convergence of Nanotechnology, Brain Machine Interfaces, and Artificial Intelligence. Front Neurosci 2018;12:843. [PMID: 30505265 PMCID: PMC6250836 DOI: 10.3389/fnins.2018.00843] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 10/29/2018] [Indexed: 12/17/2022]  Open
32
Im J, Sen S, Lindsay S, Zhang P. Recognition Tunneling of Canonical and Modified RNA Nucleotides for Their Identification with the Aid of Machine Learning. ACS NANO 2018;12:7067-7075. [PMID: 29932668 DOI: 10.1021/acsnano.8b02819] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
33
Misiunas K, Ermann N, Keyser UF. QuipuNet: Convolutional Neural Network for Single-Molecule Nanopore Sensing. NANO LETTERS 2018;18:4040-4045. [PMID: 29845855 PMCID: PMC6025884 DOI: 10.1021/acs.nanolett.8b01709] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
34
Evans B, Ossorio P. The Challenge of Regulating Clinical Decision Support Software After 21st Century Cures. AMERICAN JOURNAL OF LAW & MEDICINE 2018;44:237-251. [PMID: 30106648 DOI: 10.1177/0098858818789418] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
35
Automating drug discovery. Nat Rev Drug Discov 2017;17:97-113. [PMID: 29242609 DOI: 10.1038/nrd.2017.232] [Citation(s) in RCA: 342] [Impact Index Per Article: 48.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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