Výsledky vyhledávání - "R. R. Jonker"

Akademický článek

Flow cytometry as a tool for the study of phytoplankton

Publikováno v: Scientia Marina, Vol 64, Iss 2, Pp 135-156 (2000)

An overview is presented on flow cytometry as a tool for counting, analysis and identification of phytoplankton species and groups. The paper covers basics on the analysis technique and instrumentation such as the measuring principle, the type of ins

Externí odkaz: https://doaj.org/article/5469eb19955a451fba9e7373eb7b1c70

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Automated identification and characterisation of microbial populations using flow cytometry: the AIMS project

Autor: Linda K. Medlin, Lynne Boddy, R. R. Jonker, Laura García, Glen A. Tarran, René Groben, M. F. Wilkins, Laura Zabala

Publikováno v: Scientia Marina, Vol 64, Iss 2, Pp 225-234 (2000)
ResearcherID
Scientia Marina; Vol. 64 No. 2 (2000); 225-234
Scientia Marina; Vol. 64 Núm. 2 (2000); 225-234
Scientia Marina
Consejo Superior de Investigaciones Científicas (CSIC)
Scientia Marina; Vol 64, No 2 (2000); 225-234

The AIMS (Automatic Identification and characterisation of Microbial populationS) project is developing and integrating flow cytometric technology for the identification of microbial cell populations and the determination of their cellular characteri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f7fc951fd0d2e0af44a14972a95dda9
http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/756

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Identification of 72 phytoplankton species by radial basis function neural network analysis of flow cytometric data

Autor: Peter H. Burkill, M. F. Wilkins, Lynne Boddy, Colin W. Morris, R. R. Jonker, Glen A. Tarran, Luan Al-Haddad

Publikováno v: Marine Ecology Progress Series. 195:47-59

Radial basis function artificial neural networks (ANNs) were trained to discriminate between phytoplankton species based on 7 flow cytometric parameters measured on axenic cultures. Comparison was made between the performance of networks restricted t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ef1c5aa635676115bd835a4b21c27144
https://doi.org/10.3354/meps195047

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Identification of Phytoplankton from Flow Cytometry Data by Using Radial Basis Function Neural Networks

Autor: Lynne Boddy, R. R. Jonker, M. F. Wilkins, Colin W. Morris

Publikováno v: Scopus-Elsevier

We describe here the application of a type of artificial neural network, the Gaussian radial basis function (RBF) network, in the identification of a large number of phytoplankton strains from their 11-dimensional flow cytometric characteristics meas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d73140793d7a59f77e63e2ae1447e24
https://doi.org/10.1128/aem.65.10.4404-4410.1999

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A comparison of some neural and non-neural methods for identification of phytoplankton from flow cytomery data

Autor: R. R. Jonker, Lynne Boddy, M. F. Wilkins, Colin W. Morris

Publikováno v: Scopus-Elsevier

Four artificial neural network paradigms (multilayer perceptron networks, learning vector quantization networks, and radial and asymmetric basis function networks) and two statistical methods (parametric statistical classification by modelling each c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9829acabeadded815274050c8be751fb
https://doi.org/10.1093/bioinformatics/12.1.9

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A new method to detect apoptosis in paraffin sections: in situ end-labeling of fragmented DNA

Autor: J. H. Wijsman, R. R. Jonker, R. Keijzer, J. H. Van Dierendonck, C. J. Cornelisse, C.J.H. van de Velde

Publikováno v: Journal of Histochemistry & Cytochemistry. 41:7-12

Apoptosis (programmed cell death) can be difficult to detect in routine histological sections. Since extensive DNA fragmentation is an important characteristic of this process, visualization of DNA breaks could greatly facilitate the identification o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::329ee2b33b5a1f0186554bf185466631
https://doi.org/10.1177/41.1.7678025

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Techniques for neural network identification of phytoplankton for the EurOPA flow cytometer

Autor: Lynne Boddy, M. F. Wilkins, Peter H. Burkill, Glen A. Tarran, Colin W. Morris, R. R. Jonker

Publikováno v: Proceedings of OCEANS'94.

The EurOPA instrument is a purpose-built marine flow cytometer to be taken to sea for rapid analysis of seawater samples for phytoplankton content. To take advantage of the potentially high rate of data capture, neural network classifiers will be inc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f73f2f7f1a57e55e11d94b93f4fe27d4
https://doi.org/10.1109/oceans.1994.363967

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Flow cytometry as a tool for the study of phytoplankton

Autor: R. R. Jonker, G. B. J. Dubelaar

Publikováno v: Scientia Marina; Vol. 64 No. 2 (2000); 135-156
Scientia Marina; Vol. 64 Núm. 2 (2000); 135-156
Scientia Marina
Consejo Superior de Investigaciones Científicas (CSIC)
Scientia Marina, Vol 64, Iss 2, Pp 135-156 (2000)
Scientia Marina; Vol 64, No 2 (2000); 135-156

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18a2cf02cc093abc7733909629290545
https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/751

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Design and first results of CytoBuoy: a wireless flow cytometer for in situ analysis of marine and fresh waters

Autor: G B, Dubelaar, P L, Gerritzen, A E, Beeker, R R, Jonker, K, Tangen

Publikováno v: Cytometry. 37(4)

The high costs of microscopical determination and counting of phytoplankton often limit sampling frequencies below an acceptable level for the monitoring of dynamic ecosystems. Although having a limited discrimination power, flow cytometry allows the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::0b18a1c096a027d96e17be781f5270fb
https://pubmed.ncbi.nlm.nih.gov/10547609

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