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

Scientia Marina

Volumn 64, Issue 2, 2000, Pages 225-234

  Jonker, Richard ^a   Groben, René ^b   Tarran, Glen ^c   Medlin, Linda ^b   Wilkins, Macolm ^d   Garcia, Lara ^e   Zabala, Lara ^e   Boddy, Lynne ^d  

^a AquaSense Ltd   (Netherlands)

^b ALFRED WEGENER INSTITUTE FOR POLAR AND MARINE RESEARCH   (Germany)

^c PLYMOUTH MARINE LABORATORY   (United Kingdom)

^d CARDIFF UNIVERSITY   (United Kingdom)

^e UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

Artificial neural networks; Flow cytometry; Phytoplankton; Plankto n; rRNA probes

Indexed keywords

COMPUTER ANALYSIS; COMPUTER PROGRAM; FLOW CYTOMETRY; MICROBE IDENTIFICATION; NEURAL NETWORK; OLIGONUCLEOTIDE PROBE; RIBOSOMAL RNA;

FLOW CYTOMETRY; IDENTIFICATION METHOD; MICROBIAL COMMUNITY; PHYTOPLANKTON;

EID: 0033851860     PISSN: 02148358     EISSN: None     Source Type: Journal    
DOI: 10.3989/scimar.2000.64n2225     Document Type: Conference Paper

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