Algorithms for immunochromatographic assay: review and impact on future application.
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Hao Xu | Kan Wang | Daxiang Cui | Jinchuan Yang | Qi Qin | Yan Wo | Bo Cao | Qinghui Jin | Y. Wo | Kan Wang | D. Cui | Hao Xu | Qinghui Jin | Bo Cao | Jinchuan Yang | Qi Qin | Yan Wo
[1] Muhammad Sajid,et al. Designs, formats and applications of lateral flow assay: A literature review , 2015 .
[2] Kun Xiao,et al. Carcinoembryonic antigen detection with "Handing"-controlled fluorescence spectroscopy using a color matrix for point-of-care applications. , 2017, Biosensors & bioelectronics.
[3] Robert H. Doremus,et al. Optical properties of nanosized gold particles , 1996 .
[4] Gaiping Zhang,et al. Development of a lateral flow immunoassay strip for screening of sulfamonomethoxine residues , 2008, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.
[5] M. Xiong,et al. Extended Kalman Filter for Estimation of Parameters in Nonlinear State-Space Models of Biochemical Networks , 2008, PloS one.
[6] J. Burton,et al. Detection of analytes by immunoassay using up-converting phosphor technology. , 2001, Analytical biochemistry.
[7] Yang Tang,et al. Parameters identification of unknown delayed genetic regulatory networks by a switching particle swarm optimization algorithm , 2011, Expert Syst. Appl..
[8] Kan Wang,et al. Dual Immunomagnetic Nanobeads-Based Lateral Flow Test Strip for Simultaneous Quantitative Detection of Carcinoembryonic Antigen and Neuron Specific Enolase , 2017, Scientific Reports.
[9] Olivier Fardel,et al. Nature and uses of fluorescent dyes for drug transporter studies , 2015, Expert opinion on drug metabolism & toxicology.
[10] Marc Teboulle,et al. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems , 2009, IEEE Transactions on Image Processing.
[11] Pekka Hänninen,et al. Modelling of multi-component immunoassay kinetics - A new node-based method for simulation of complex assays. , 2010, Biophysical chemistry.
[12] H Tanke,et al. Use of up-converting phosphor reporters in lateral-flow assays to detect specific nucleic acid sequences: a rapid, sensitive DNA test to identify human papillomavirus type 16 infection. , 2001, Clinical chemistry.
[13] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[14] Daxiang Cui,et al. Rapid detection and quantification of tumor marker carbohydrate antigen 72-4 (CA72-4) using a superparamagnetic immunochromatographic strip , 2016, Analytical and Bioanalytical Chemistry.
[15] Rabab Kreidieh Ward,et al. Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[16] Xiao-Li Hu,et al. A Basic Convergence Result for Particle Filtering , 2008, IEEE Transactions on Signal Processing.
[17] Messaoud Hameurlaine,et al. Survey of Brain Tumor Segmentation Techniques on Magnetic Resonance Imaging , 2019, Nano Biomedicine and Engineering.
[18] Shizhi Qian,et al. A mathematical model of lateral flow bioreactions applied to sandwich assays. , 2003, Analytical biochemistry.
[19] Zidong Wang,et al. A Hybrid EKF and Switching PSO Algorithm for Joint State and Parameter Estimation of Lateral Flow Immunoassay Models , 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[20] Caglar Elbuken,et al. An optofluidic point-of-care device for quantitative investigation of erythrocyte aggregation during coagulation , 2018, Sensors and Actuators A: Physical.
[21] Wolfgang Linert,et al. Recent advances in and potential utilities of paper-based electrochemical sensors: beyond qualitative analysis. , 2019, The Analyst.
[22] Juan G. Santiago,et al. Coupling Isotachophoresis with Affinity Chromatography for Rapid and Selective Purification with High Column Utilization, Part 2: Experimental Study , 2014, Analytical chemistry.
[23] Jianlin Cheng,et al. A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction , 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[24] Heiga Zen,et al. Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends , 2015, IEEE Signal Processing Magazine.
[25] Laurence T. Yang,et al. Deep Computation Model for Unsupervised Feature Learning on Big Data , 2016, IEEE Transactions on Services Computing.
[26] Shizhi Qian,et al. Analysis of lateral flow biodetectors: competitive format. , 2004, Analytical biochemistry.
[27] Hengyi Xu,et al. Membrane-based lateral flow immunochromatographic strip with nanoparticles as reporters for detection: A review. , 2016, Biosensors & bioelectronics.
[28] D. Lim,et al. Quantitative analysis of thyroid-stimulating hormone (TSH) using SERS-based lateral flow immunoassay , 2017 .
[29] Julian Bailes,et al. Gold nanoparticle antibody conjugates for use in competitive lateral flow assays. , 2012, Methods in molecular biology.
[30] Jun Zhang,et al. Adaptive Particle Swarm Optimization , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[31] Avishek Saha,et al. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data , 2016, IEEE Transactions on Knowledge and Data Engineering.
[32] Michel Barlaud,et al. Image coding using wavelet transform , 1992, IEEE Trans. Image Process..
[33] Uwe Stilla,et al. Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection , 2016, ISPRS Journal of Photogrammetry and Remote Sensing.
[34] Paul Yager,et al. Modeling of a competitive microfluidic heterogeneous immunoassay: sensitivity of the assay response to varying system parameters. , 2009, Analytical chemistry.
[35] S. Nie,et al. Luminescent quantum dots for multiplexed biological detection and imaging. , 2002, Current opinion in biotechnology.
[36] Hyuk-Jae Chang,et al. Development of a point-of-care assay system for high-sensitivity C-reactive protein in whole blood. , 2003, Clinica chimica acta; international journal of clinical chemistry.
[37] Hong Yang,et al. A sensitive immunochromatographic assay using colloidal gold-antibody probe for rapid detection of pharmaceutical indomethacin in water samples. , 2009, Biosensors & bioelectronics.
[38] Geertruida A. Posthuma-Trumpie,et al. Lateral flow (immuno)assay: its strengths, weaknesses, opportunities and threats. A literature survey , 2009, Analytical and bioanalytical chemistry.
[39] Se-Hwan Paek,et al. Two-dimensional paper chromatography-based fluorescent immunosensor for detecting acute myocardial infarction markers. , 2014, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[40] Fuad E. Alsaadi,et al. A Novel Switching Delayed PSO Algorithm for Estimating Unknown Parameters of Lateral Flow Immunoassay , 2016, Cognitive Computation.
[41] J. Choo,et al. Application of a SERS-based lateral flow immunoassay strip for the rapid and sensitive detection of staphylococcal enterotoxin B. , 2016, Nanoscale.
[42] Daxiang Cui,et al. Use of quantum dot beads-labeled monoclonal antibody to improve the sensitivity of a quantitative and simultaneous immunochromatographic assay for neuron specific enolase and carcinoembryonic antigen. , 2017, Talanta.
[43] Jinchuan Yang,et al. Detection platforms for point-of-care testing based on colorimetric, luminescent and magnetic assays: A review. , 2019, Talanta.
[44] Gilson A. Giraldi,et al. Convolutional Neural Network approaches to granite tiles classification , 2017, Expert Syst. Appl..
[45] André Carlos Ponce de Leon Ferreira de Carvalho,et al. Deep learning for biological image classification , 2017, Expert Syst. Appl..
[46] Gregory T. A. Kovacs,et al. Optical Scanner for Immunoassays With Up-Converting Phosphorescent Labels , 2008, IEEE Transactions on Biomedical Engineering.
[47] Xiaojun Ji,et al. Contactless Measurement of Magnetic Nanoparticles on Lateral Flow Strips Using Tunneling Magnetoresistance (TMR) Sensors in Differential Configuration , 2016, Sensors.
[48] Hong Zhang,et al. Denoising and deblurring gold immunochromatographic strip images via gradient projection algorithms , 2017, Neurocomputing.
[49] Kan Wang,et al. Machine Learning Approach to Enhance the Performance of MNP-Labeled Lateral Flow Immunoassay , 2019, Nano-Micro Letters.
[50] Yeung Sam Hung,et al. A novel switching local evolutionary PSO for quantitative analysis of lateral flow immunoassay , 2014, Expert Syst. Appl..
[51] Lixiang Li,et al. Finite-time stability and synchronization of memristor-based fractional-order fuzzy cellular neural networks , 2018, Commun. Nonlinear Sci. Numer. Simul..
[52] Daxiang Cui,et al. CdSe/ZnS Quantum Dot-Labeled Lateral Flow Strips for Rapid and Quantitative Detection of Gastric Cancer Carbohydrate Antigen 72-4 , 2016, Nanoscale Research Letters.
[53] Derek C. Rose,et al. Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier] , 2010, IEEE Computational Intelligence Magazine.
[54] Anatoly V Zherdev,et al. Mathematical Model of Serodiagnostic Immunochromatographic Assay. , 2017, Analytical Chemistry.
[55] Fuad E. Alsaadi,et al. Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip , 2016, Cognitive Computation.
[56] Yinggan Tang,et al. Parameter estimation for time-delay chaotic system by particle swarm optimization , 2009 .
[57] Jie Hu,et al. The effect of report particle properties on lateral flow assays: A mathematical model , 2017 .
[58] Chao Li,et al. A CCD-based reader combined with CdS quantum dot-labeled lateral flow strips for ultrasensitive quantitative detection of CagA , 2014, Nanoscale Research Letters.
[59] Xiuli Fu,et al. Optical Nanoprobes for Ultrasensitive Immunoassay. , 2017, Analytical chemistry.
[60] Zidong Wang,et al. Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach , 2014, IEEE Transactions on Medical Imaging.
[61] Ying Wang,et al. Rapid and sensitive detection of protein biomarker using a portable fluorescence biosensor based on quantum dots and a lateral flow test strip. , 2010, Analytical chemistry.
[62] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[63] Nicolas Brunel,et al. Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference , 2007, Bioinform..
[64] Daniel Quesada-González,et al. Nanoparticle-based lateral flow biosensors. , 2015, Biosensors & bioelectronics.
[65] You Yi,et al. A new imaged-based quantitative reader for the gold immunochromatographic assay , 2018 .
[66] Yafei Hou,et al. Smartphone-Based Fluorescent Diagnostic System for Immunochromatographic Chip , 2017 .
[67] Leon O. Chua,et al. Cellular neural networks: applications , 1988 .
[68] Xiuli Fu,et al. A graphene oxide/gold nanoparticle-based amplification method for SERS immunoassay of cardiac troponin I. , 2019, The Analyst.
[69] Lingxin Chen,et al. A SERS-based lateral flow assay biosensor for highly sensitive detection of HIV-1 DNA. , 2016, Biosensors & bioelectronics.
[70] Xiaohu Gao,et al. Nanoparticle counting: towards accurate determination of the molar concentration. , 2014, Chemical Society reviews.
[71] David E. Williams,et al. Point of care diagnostics: status and future. , 2012, Analytical chemistry.
[72] Zidong Wang,et al. Inference of Nonlinear State-Space Models for Sandwich-Type Lateral Flow Immunoassay Using Extended Kalman Filtering , 2011, IEEE Transactions on Biomedical Engineering.
[73] Renato José Sassi,et al. Biological image classification using rough-fuzzy artificial neural network , 2015, Expert Syst. Appl..
[74] D. Donoho,et al. Does median filtering truly preserve edges better than linear filtering , 2006, math/0612422.
[75] Hervé Volland,et al. Detection of Staphylococcus enterotoxin B using fluorescent immunoliposomes as label for immunochromatographic testing. , 2008, Analytical biochemistry.
[76] Kadir Aslan,et al. Rapid Sensing of Biological and Environmental Analytes Using Microwave-Accelerated Bioassays and a MATLAB Application , 2019, Nano biomedicine and engineering.
[77] Huijie Huang,et al. Research of reflectance photometer based on optical absorption , 2010 .
[78] Yeun-Chung Lee,et al. One-step immunochromatographic assay for the detection of Staphylococcus aureus , 2007 .
[79] Deng Ze-Feng,et al. High Probability Impulse Noise-Removing Algorithm Based on Mathematical Morphology , 2007, IEEE Signal Processing Letters.
[80] Yurong Liu,et al. A survey of deep neural network architectures and their applications , 2017, Neurocomputing.
[81] Wenhui Bai,et al. A simple and sensitive label-free fluorescent approach for protein detection based on a Perylene probe and aptamer. , 2015, Biosensors & bioelectronics.
[82] Mats Nilsson,et al. Lateral-flow and up-converting phosphor reporters to detect single-stranded nucleic acids in a sandwich-hybridization assay. , 2003, Analytical biochemistry.
[83] Aldo Roda,et al. A simple and compact smartphone accessory for quantitative chemiluminescence-based lateral flow immunoassay for salivary cortisol detection. , 2015, Biosensors & bioelectronics.
[84] Grish C Varshney,et al. Immunochromatographic dipstick assay format using gold nanoparticles labeled protein-hapten conjugate for the detection of atrazine. , 2007, Environmental science & technology.
[85] Yu Zheng,et al. Simultaneous Quantitative Detection of Helicobacter Pylori Based on a Rapid and Sensitive Testing Platform using Quantum Dots-Labeled Immunochromatiographic Test Strips , 2016, Nanoscale Research Letters.
[86] Hui Yang,et al. An improved detection limit and working range of lateral flow assays based on a mathematical model. , 2018, The Analyst.
[87] C Dok An,et al. Evaluation of a rapid qualitative prostate specific antigen assay, the One Step PSA(TM) test. , 2001, Cancer letters.
[88] Donghoon Choi,et al. Diketopyrrolopyrrole: brilliant red pigment dye-based fluorescent probes and their applications. , 2015, Chemical Society reviews.
[89] Yafei Hou,et al. The Application of Lateral Flow Immunoassay in Point of Care Testing: A Review , 2016 .
[90] Guohua Huang,et al. The Advances and Challenges of Deep Learning Application in Biological Big Data Processing , 2017, Current Bioinformatics.
[91] Dong Yu,et al. Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP] , 2011, IEEE Signal Processing Magazine.
[92] Brendt Wohlberg,et al. Efficient Minimization Method for a Generalized Total Variation Functional , 2009, IEEE Transactions on Image Processing.
[93] Salman Mohagheghi,et al. Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems , 2008, IEEE Transactions on Evolutionary Computation.
[94] Wei Gao,et al. Extreme learning machine with multi-scale local receptive fields for texture classification , 2017, Multidimens. Syst. Signal Process..
[95] Chao Li,et al. Gold Nanoclusters‐Based Nanoprobes for Simultaneous Fluorescence Imaging and Targeted Photodynamic Therapy with Superior Penetration and Retention Behavior in Tumors , 2015 .
[96] Saman K. Halgamuge,et al. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients , 2004, IEEE Transactions on Evolutionary Computation.
[97] Tatsuro Endo,et al. A novel enhancement assay for immunochromatographic test strips using gold nanoparticles , 2006, Analytical and bioanalytical chemistry.
[98] Paolo Ascenzi,et al. Determination of abacavir, amprenavir, didanosine, efavirenz, nevirapine, and stavudine concentration in human plasma by MALDI-TOF/TOF. , 2008, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[99] Lin-Bao Yang,et al. Cellular neural networks: theory , 1988 .
[100] A. Salimi,et al. Au nanoparticles/PAMAM dendrimer functionalized wired ethyleneamine-viologen as highly efficient interface for ultra-sensitive α-fetoprotein electrochemical immunosensor. , 2014, Biosensors & bioelectronics.