메뉴 건너뛰기




Volumn 14, Issue SUPPL16, 2013, Pages

HCS-Neurons: Identifying phenotypic changes in multi-neuron images upon drug treatments of high-content screening

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED IMAGE ANALYSIS; BIOLOGICAL MOLECULE; DRUG CONCENTRATION; FEATURE DESCRIPTORS; FEATURE SELECTION METHODS; HIGH-CONTENT SCREENING; PHENOTYPIC CHANGES; STATISTICALLY SIGNIFICANT DIFFERENCE;

EID: 84886769795     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-S16-S12     Document Type: Article
Times cited : (17)

References (45)
  • 1
    • 84875547168 scopus 로고    scopus 로고
    • Neuronal morphology goes digital: a research hub for cellular and system neuroscience
    • 10.1016/j.neuron.2013.03.008, 23522039
    • Parekh R, Ascoli GA. Neuronal morphology goes digital: a research hub for cellular and system neuroscience. Neuron 2013, 77(6):1017-1038. 10.1016/j.neuron.2013.03.008, 23522039.
    • (2013) Neuron , vol.77 , Issue.6 , pp. 1017-1038
    • Parekh, R.1    Ascoli, G.A.2
  • 2
    • 84929958649 scopus 로고    scopus 로고
    • Advanced Assay Development Guidelines for Image-Based High Content Screening and Analysis
    • Bethesda (MD), Sittampalam GS, Gal-Edd N, Arkin M, Auld D, Austin C, Bejcek B, Glicksman M, Inglese J, Lemmon V, Li Z et al.
    • Bray MA, Carpenter A. Advanced Assay Development Guidelines for Image-Based High Content Screening and Analysis. Assay Guidance Manual 2004, Bethesda (MD), Sittampalam GS, Gal-Edd N, Arkin M, Auld D, Austin C, Bejcek B, Glicksman M, Inglese J, Lemmon V, Li Z et al.
    • (2004) Assay Guidance Manual
    • Bray, M.A.1    Carpenter, A.2
  • 3
    • 79958036999 scopus 로고    scopus 로고
    • NeurphologyJ: An automatic neuronal morphology quantification method and its application in pharmacological discovery
    • Ho SY, Chao CY, Huang HL, Chiu TW, Charoenkwan P, Hwang E. NeurphologyJ: An automatic neuronal morphology quantification method and its application in pharmacological discovery. Bmc Bioinformatics 2011, 12.
    • (2011) Bmc Bioinformatics , vol.12
    • Ho, S.Y.1    Chao, C.Y.2    Huang, H.L.3    Chiu, T.W.4    Charoenkwan, P.5    Hwang, E.6
  • 4
    • 78650081757 scopus 로고    scopus 로고
    • HCA-Vision: Automated Neurite Outgrowth Analysis
    • 10.1177/1087057110382894, 20855562
    • Wang DD, Lagerstrom R, Sun CM, Bishof L, Valotton P, Gotte M. HCA-Vision: Automated Neurite Outgrowth Analysis. J Biomol Screen 2010, 15(9):1165-1170. 10.1177/1087057110382894, 20855562.
    • (2010) J Biomol Screen , vol.15 , Issue.9 , pp. 1165-1170
    • Wang, D.D.1    Lagerstrom, R.2    Sun, C.M.3    Bishof, L.4    Valotton, P.5    Gotte, M.6
  • 5
    • 77956394834 scopus 로고    scopus 로고
    • Automatic Robust Neurite Detection and Morphological Analysis of Neuronal Cell Cultures in High-content Screening
    • 10.1007/s12021-010-9067-9, 3022421, 20405243
    • Wu CH, Schulte J, Sepp KJ, Littleton JT, Hong PY. Automatic Robust Neurite Detection and Morphological Analysis of Neuronal Cell Cultures in High-content Screening. Neuroinformatics 2010, 8(2):83-100. 10.1007/s12021-010-9067-9, 3022421, 20405243.
    • (2010) Neuroinformatics , vol.8 , Issue.2 , pp. 83-100
    • Wu, C.H.1    Schulte, J.2    Sepp, K.J.3    Littleton, J.T.4    Hong, P.Y.5
  • 7
    • 80053627090 scopus 로고    scopus 로고
    • NeuriteQuant: An open source toolkit for high content screens of neuronal Morphogenesis
    • Dehmelt L, Poplawski G, Hwang E, Halpain S. NeuriteQuant: An open source toolkit for high content screens of neuronal Morphogenesis. Bmc Neurosci 2011, 12.
    • (2011) Bmc Neurosci , vol.12
    • Dehmelt, L.1    Poplawski, G.2    Hwang, E.3    Halpain, S.4
  • 8
    • 80052333682 scopus 로고    scopus 로고
    • High-content chemical and RNAi screens for suppressors of neurotoxicity in a Huntington's disease model
    • 10.1371/journal.pone.0023841, 3166080, 21909362
    • Schulte J, Sepp KJ, Wu C, Hong P, Littleton JT. High-content chemical and RNAi screens for suppressors of neurotoxicity in a Huntington's disease model. Plos One 2011, 6(8):e23841. 10.1371/journal.pone.0023841, 3166080, 21909362.
    • (2011) Plos One , vol.6 , Issue.8
    • Schulte, J.1    Sepp, K.J.2    Wu, C.3    Hong, P.4    Littleton, J.T.5
  • 9
    • 84870957914 scopus 로고    scopus 로고
    • High-Content Neurite Development Study Using Optically Patterned Substrates
    • Belisle JM, Levin LA, Costantino S. High-Content Neurite Development Study Using Optically Patterned Substrates. Plos One 2012, 7(4).
    • (2012) Plos One , vol.7 , Issue.4
    • Belisle, J.M.1    Levin, L.A.2    Costantino, S.3
  • 10
    • 84874323459 scopus 로고    scopus 로고
    • Label-free detection of neuronal differentiation in cell populations using high-throughput live-cell imaging of PC12 cells
    • 10.1371/journal.pone.0056690, 3579923, 23451069
    • Weber S, Fernandez-Cachon ML, Nascimento JM, Knauer S, Offermann B, Murphy RF, Boerries M, Busch H. Label-free detection of neuronal differentiation in cell populations using high-throughput live-cell imaging of PC12 cells. Plos One 2013, 8(2):e56690. 10.1371/journal.pone.0056690, 3579923, 23451069.
    • (2013) Plos One , vol.8 , Issue.2
    • Weber, S.1    Fernandez-Cachon, M.L.2    Nascimento, J.M.3    Knauer, S.4    Offermann, B.5    Murphy, R.F.6    Boerries, M.7    Busch, H.8
  • 11
    • 77953693730 scopus 로고    scopus 로고
    • Semi-automated Sholl analysis for quantifying changes in growth and differentiation of neurons and glia
    • Gensel JC, Schonberg DL, Alexander JK, McTigue DM, Popovich PG. Semi-automated Sholl analysis for quantifying changes in growth and differentiation of neurons and glia. J Neurosci Meth 2010, 190(1):71-79.
    • (2010) J Neurosci Meth , vol.190 , Issue.1 , pp. 71-79
    • Gensel, J.C.1    Schonberg, D.L.2    Alexander, J.K.3    McTigue, D.M.4    Popovich, P.G.5
  • 12
    • 80052627805 scopus 로고    scopus 로고
    • NeuronGrowth, a Software for Automatic Quantification of Neurite and Filopodial Dynamics from Time-Lapse Sequences of Digital Images
    • 10.1002/dneu.20866, 21913334
    • Fanti Z, Martinez-Perez ME, De-Miguel FF. NeuronGrowth, a Software for Automatic Quantification of Neurite and Filopodial Dynamics from Time-Lapse Sequences of Digital Images. Dev Neurobiol 2011, 71(10):870-881. 10.1002/dneu.20866, 21913334.
    • (2011) Dev Neurobiol , vol.71 , Issue.10 , pp. 870-881
    • Fanti, Z.1    Martinez-Perez, M.E.2    De-Miguel, F.F.3
  • 13
    • 78649588859 scopus 로고    scopus 로고
    • Automated Sholl Analysis of Digitized Neuronal Morphology at Multiple Scales: Whole Cell Sholl Analysis Versus Sholl Analysis of Arbor Subregions
    • Langhammer CG, Previtera ML, Sweet ES, Sran SS, Chen M, Firestein BL. Automated Sholl Analysis of Digitized Neuronal Morphology at Multiple Scales: Whole Cell Sholl Analysis Versus Sholl Analysis of Arbor Subregions. Cytom Part A 2010, 77A(12):1160-1168.
    • (2010) Cytom Part A , vol.77 A , Issue.12 , pp. 1160-1168
    • Langhammer, C.G.1    Previtera, M.L.2    Sweet, E.S.3    Sran, S.S.4    Chen, M.5    Firestein, B.L.6
  • 15
    • 84886789806 scopus 로고    scopus 로고
    • Automated Analysis of Neurite Outgrowth in Mouse Retinal Explants
    • Gaublomme D, Buyens T, Moons L. Automated Analysis of Neurite Outgrowth in Mouse Retinal Explants. J Biomol Screen 2012
    • (2012) J Biomol Screen
    • Gaublomme, D.1    Buyens, T.2    Moons, L.3
  • 16
    • 84857797266 scopus 로고    scopus 로고
    • Semi-automated, quantitative analysis of retinal ganglion cell morphology in mice selectively expressing yellow fluorescent protein
    • 10.1016/j.exer.2011.12.013, 3419383, 22210127
    • Oglesby E, Quigley HA, Zack DJ, Cone FE, Steinhart MR, Tian J, Pease ME, Kalesnykas G. Semi-automated, quantitative analysis of retinal ganglion cell morphology in mice selectively expressing yellow fluorescent protein. Exp Eye Res 2012, 96(1):107-115. 10.1016/j.exer.2011.12.013, 3419383, 22210127.
    • (2012) Exp Eye Res , vol.96 , Issue.1 , pp. 107-115
    • Oglesby, E.1    Quigley, H.A.2    Zack, D.J.3    Cone, F.E.4    Steinhart, M.R.5    Tian, J.6    Pease, M.E.7    Kalesnykas, G.8
  • 17
    • 84887295199 scopus 로고    scopus 로고
    • NEuronMOrphological analysis tool: open-source software for quantitative morphometrics
    • 3572679, 23420185
    • Billeci L, Magliaro C, Pioggia G, Ahluwalia A. NEuronMOrphological analysis tool: open-source software for quantitative morphometrics. Frontiers in neuroinformatics 2013, 7:2. 3572679, 23420185.
    • (2013) Frontiers in neuroinformatics , vol.7 , pp. 2
    • Billeci, L.1    Magliaro, C.2    Pioggia, G.3    Ahluwalia, A.4
  • 18
    • 0742290016 scopus 로고    scopus 로고
    • Inheritable genetic algorithm for biobjective 0/1 combinatorial optimization problems and its applications
    • Ho SY, Chen JH, Huang MH. Inheritable genetic algorithm for biobjective 0/1 combinatorial optimization problems and its applications. Ieee T Syst Man Cy B 2004, 34(1):609-620.
    • (2004) Ieee T Syst Man Cy B , vol.34 , Issue.1 , pp. 609-620
    • Ho, S.Y.1    Chen, J.H.2    Huang, M.H.3
  • 19
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A Library for Support Vector Machines
    • Chang CC, Lin CJ. LIBSVM: A Library for Support Vector Machines. Acm T Intel Syst Tec 2011, 2(3).
    • (2011) Acm T Intel Syst Tec , vol.2 , Issue.3
    • Chang, C.C.1    Lin, C.J.2
  • 20
    • 0038206551 scopus 로고    scopus 로고
    • Cytoskeletal and morphological alterations underlying axonal sprouting after localized transection of cortical neuron Axons in vitro
    • Chuckowree JA, Vickers JC. Cytoskeletal and morphological alterations underlying axonal sprouting after localized transection of cortical neuron Axons in vitro. J Neurosci 2003, 23(9):3715-3725.
    • (2003) J Neurosci , vol.23 , Issue.9 , pp. 3715-3725
    • Chuckowree, J.A.1    Vickers, J.C.2
  • 21
    • 84886781721 scopus 로고
    • The Initiation of Neurite Outgrowth by Sympathetic Neurons Grown in-Vitro Does Not Depend on Assembly of Microtubules (Vol 127, Pg 1407, 1994)
    • Smith CL. The Initiation of Neurite Outgrowth by Sympathetic Neurons Grown in-Vitro Does Not Depend on Assembly of Microtubules (Vol 127, Pg 1407, 1994). J Cell Biol 1995, 128(3):443-443.
    • (1995) J Cell Biol , vol.128 , Issue.3 , pp. 443-443
    • Smith, C.L.1
  • 22
    • 0025100811 scopus 로고
    • Extracellular-Matrix Allows Pc12 Neurite Elongation in the Absence of Microtubules
    • 10.1083/jcb.110.1.71, 2115996, 2153148
    • Lamoureux P, Steel VL, Regal C, Adgate L, Buxbaum RE, Heidemann SR. Extracellular-Matrix Allows Pc12 Neurite Elongation in the Absence of Microtubules. J Cell Biol 1990, 110(1):71-79. 10.1083/jcb.110.1.71, 2115996, 2153148.
    • (1990) J Cell Biol , vol.110 , Issue.1 , pp. 71-79
    • Lamoureux, P.1    Steel, V.L.2    Regal, C.3    Adgate, L.4    Buxbaum, R.E.5    Heidemann, S.R.6
  • 23
    • 0023038267 scopus 로고
    • Experimental Modification of Pc12 Neurite Shape with the Microtubule-Depolymerizing Drug Nocodazole - a Serial Electron-Microscopic Study of Neurite Shape Control
    • 10.1083/jcb.103.3.907, 2114310, 3745274
    • Jacobs JR, Stevens JK. Experimental Modification of Pc12 Neurite Shape with the Microtubule-Depolymerizing Drug Nocodazole - a Serial Electron-Microscopic Study of Neurite Shape Control. J Cell Biol 1986, 103(3):907-915. 10.1083/jcb.103.3.907, 2114310, 3745274.
    • (1986) J Cell Biol , vol.103 , Issue.3 , pp. 907-915
    • Jacobs, J.R.1    Stevens, J.K.2
  • 24
    • 79954500285 scopus 로고    scopus 로고
    • Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software
    • 10.1093/bioinformatics/btr095, 3072555, 21349861
    • Kamentsky L, Jones TR, Fraser A, Bray MA, Logan DJ, Madden KL, Ljosa V, Rueden C, Eliceiri KW, Carpenter AE. Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software. Bioinformatics 2011, 27(8):1179-1180. 10.1093/bioinformatics/btr095, 3072555, 21349861.
    • (2011) Bioinformatics , vol.27 , Issue.8 , pp. 1179-1180
    • Kamentsky, L.1    Jones, T.R.2    Fraser, A.3    Bray, M.A.4    Logan, D.J.5    Madden, K.L.6    Ljosa, V.7    Rueden, C.8    Eliceiri, K.W.9    Carpenter, A.E.10
  • 27
    • 70449419850 scopus 로고    scopus 로고
    • CellClassifier: supervised learning of cellular phenotypes
    • 10.1093/bioinformatics/btp524, 19729371
    • Ramo P, Sacher R, Snijder B, Begemann B, Pelkmans L. CellClassifier: supervised learning of cellular phenotypes. Bioinformatics 2009, 25(22):3028-3030. 10.1093/bioinformatics/btp524, 19729371.
    • (2009) Bioinformatics , vol.25 , Issue.22 , pp. 3028-3030
    • Ramo, P.1    Sacher, R.2    Snijder, B.3    Begemann, B.4    Pelkmans, L.5
  • 28
    • 0032193939 scopus 로고    scopus 로고
    • Neural cell classification by wavelets and multiscale curvature
    • 10.1007/s004220050484, 9830709
    • Cesar RM, Costa LD. Neural cell classification by wavelets and multiscale curvature. Biol Cybern 1998, 79(4):347-360. 10.1007/s004220050484, 9830709.
    • (1998) Biol Cybern , vol.79 , Issue.4 , pp. 347-360
    • Cesar, R.M.1    Costa, L.D.2
  • 29
    • 0019047147 scopus 로고
    • Image-Analysis Via the General-Theory of Moments
    • Teague MR. Image-Analysis Via the General-Theory of Moments. J Opt Soc Am 1980, 70(8):920-930.
    • (1980) J Opt Soc Am , vol.70 , Issue.8 , pp. 920-930
    • Teague, M.R.1
  • 30
    • 0022840221 scopus 로고
    • On Digital Approximation of Moment Invariants
    • Teh CH, Chin RT. On Digital Approximation of Moment Invariants. Comput Vision Graph 1986, 33(3):318-326.
    • (1986) Comput Vision Graph , vol.33 , Issue.3 , pp. 318-326
    • Teh, C.H.1    Chin, R.T.2
  • 31
  • 32
    • 0036843713 scopus 로고    scopus 로고
    • Shape-based image retrieval using generic Fourier descriptor
    • Zhang DS, Lu GJ. Shape-based image retrieval using generic Fourier descriptor. Signal Process-Image 2002, 17(10):825-848.
    • (2002) Signal Process-Image , vol.17 , Issue.10 , pp. 825-848
    • Zhang, D.S.1    Lu, G.J.2
  • 33
    • 0018466704 scopus 로고
    • Statistical and Structural Approaches to Texture
    • Haralick RM. Statistical and Structural Approaches to Texture. P Ieee 1979, 67(5):786-804.
    • (1979) P Ieee , vol.67 , Issue.5 , pp. 786-804
    • Haralick, R.M.1
  • 34
    • 13344280993 scopus 로고    scopus 로고
    • Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
    • Huang K, Murphy RF. Boosting accuracy of automated classification of fluorescence microscope images for location proteomics. Bmc Bioinformatics 2004, 5.
    • (2004) Bmc Bioinformatics , vol.5
    • Huang, K.1    Murphy, R.F.2
  • 35
    • 77951801920 scopus 로고
    • How to Standardize Regression-Coefficients
    • Bring J. How to Standardize Regression-Coefficients. Am Stat 1994, 48(3):209-213.
    • (1994) Am Stat , vol.48 , Issue.3 , pp. 209-213
    • Bring, J.1
  • 36
    • 11844263947 scopus 로고    scopus 로고
    • Intelligent evolutionary algorithms for large parameter optimization problems
    • Ho SY, Shu LS, Chen JH. Intelligent evolutionary algorithms for large parameter optimization problems. Ieee T Evolut Comput 2004, 8(6):522-541.
    • (2004) Ieee T Evolut Comput , vol.8 , Issue.6 , pp. 522-541
    • Ho, S.Y.1    Shu, L.S.2    Chen, J.H.3
  • 38
    • 77953423433 scopus 로고    scopus 로고
    • Quantitative classification of somatostatin-positive neocortical interneurons identifies three interneuron subtypes
    • 2896209, 20617186
    • McGarry LM, Packer AM, Fino E, Nikolenko V, Sippy T, Yuste R. Quantitative classification of somatostatin-positive neocortical interneurons identifies three interneuron subtypes. Front Neural Circuits 2010, 4:12. 2896209, 20617186.
    • (2010) Front Neural Circuits , vol.4 , pp. 12
    • McGarry, L.M.1    Packer, A.M.2    Fino, E.3    Nikolenko, V.4    Sippy, T.5    Yuste, R.6
  • 39
    • 78650043633 scopus 로고    scopus 로고
    • Comparison Between Supervised and Unsupervised Classifications of Neuronal Cell Types: A Case Study
    • 10.1002/dneu.20809, 3058840,3058840, 21154911
    • Guerra L, McGarry LM, Robles V, Bielza C, Larranaga P, Yuste R. Comparison Between Supervised and Unsupervised Classifications of Neuronal Cell Types: A Case Study. Dev Neurobiol 2011, 71(1):71-82. 10.1002/dneu.20809, 3058840,3058840, 21154911.
    • (2011) Dev Neurobiol , vol.71 , Issue.1 , pp. 71-82
    • Guerra, L.1    McGarry, L.M.2    Robles, V.3    Bielza, C.4    Larranaga, P.5    Yuste, R.6
  • 41
    • 77951678512 scopus 로고    scopus 로고
    • Automated Classification of Breast Carcinoma Cell Based on Image Processing and Support Vector Machine
    • Kuo YL, Ko CC, Lin YM, Chen YM. Automated Classification of Breast Carcinoma Cell Based on Image Processing and Support Vector Machine. Biomed Eng-App Bas C 2010, 22(2):127-135.
    • (2010) Biomed Eng-App Bas C , vol.22 , Issue.2 , pp. 127-135
    • Kuo, Y.L.1    Ko, C.C.2    Lin, Y.M.3    Chen, Y.M.4
  • 42
    • 80052968733 scopus 로고    scopus 로고
    • Ultrasonic image classification based on support vector machine with two independent component features
    • Chen WS, Liu TJ, Wang BF. Ultrasonic image classification based on support vector machine with two independent component features. Comput Math Appl 2011, 62(7):2696-2703.
    • (2011) Comput Math Appl , vol.62 , Issue.7 , pp. 2696-2703
    • Chen, W.S.1    Liu, T.J.2    Wang, B.F.3
  • 43
    • 79960446280 scopus 로고    scopus 로고
    • Natural Image Classification Based on Improved Support Vector Machine
    • Qi YJ, Ou ZW, Zhang B, Liu TZ, Li Y. Natural Image Classification Based on Improved Support Vector Machine. Appl Mech Mater 2011, 58-60:2387-2391.
    • (2011) Appl Mech Mater , vol.58-60 , pp. 2387-2391
    • Qi, Y.J.1    Ou, Z.W.2    Zhang, B.3    Liu, T.Z.4    Li, Y.5
  • 44
    • 84865680004 scopus 로고    scopus 로고
    • Support vector machine for breast MR image classification
    • Lo CS, Wang CM. Support vector machine for breast MR image classification. Comput Math Appl 2012, 64(5):1153-1162.
    • (2012) Comput Math Appl , vol.64 , Issue.5 , pp. 1153-1162
    • Lo, C.S.1    Wang, C.M.2
  • 45
    • 0043164490 scopus 로고    scopus 로고
    • An analysis of co-occurrence texture statistics as a function of grey level quantization
    • Clausi DA. An analysis of co-occurrence texture statistics as a function of grey level quantization. Can J Remote Sens 2002, 28(1):45-62.
    • (2002) Can J Remote Sens , vol.28 , Issue.1 , pp. 45-62
    • Clausi, D.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.