Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloWater monitoring: automated and real time identification and classification of algae using digital microscopy
Anno di pubblicazione2014
Formato
  • Elettronico
  • Cartaceo
Autore/iColtelli P.; Barsanti L.; Evangelista V.; Frassanito A.; Gualtieri P.
Affiliazioni autoriCNR-ISTI, Pisa, Italy; CNR-IBF, Pisa, Italy
Autori CNR e affiliazioni
  • ANNA MARIA FRASSANITO
  • PAOLO GUALTIERI
  • LAURA BARSANTI
  • PRIMO COLTELLI
Lingua/e
  • inglese
AbstractMicroalgae are unicellular photoautotrophs that grow in any habitat from fresh and saline water bodies, to hot springs and ice. Microalgae can be used as indicators to monitor water ecosystem conditions. These organisms react quickly and predictably to a broad range of environmental stressors, thus providing early signals of a changing environment. When grown extensively, microalgae may produce harmful effects on marine or freshwater ecology and fishery resources. Rapid and accurate recognition and classification of microalgae is one of the most important issues in water resource management. In this paper, a methodology for automatic and real time identification and enumeration of microalgae by means of image analysis is presented. The methodology is based on segmentation, shape feature extraction, pigment signature determination and neural network grouping; it attained 98.6% accuracy from a set of 53 869 images of 23 different microalgae representing the major algal phyla. In our opinion this methodology partly overcomes the lack of automated identification systems and is on the forefront of developing a computer-based image processing technique to automatically detect recognize, identify and enumerate microalgae genera and species from all the divisions. This methodology could be useful for an appropriate and effective water resource management.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da2656
Pagine a2665
Pagine totali10
RivistaEnvironmental science - processes and impacts
ISSN: 2050-7895
Titolo chiave: Environmental science - processes and impacts
Numero volume della rivista16
Fascicolo della rivista11
DOI10.1039/c4em00451e
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000344131200020)
  • Scopus (Codice:2-s2.0-84908191704)
Parole chiaveChroomonas, Closterium, Cosmarium laeve, Cryptomonas ovata
Link (URL, URI)-
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IBF — Istituto di biofisica
  • ISTI — Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
Moduli/Attività/Sottoprogetti CNR
  • MD.P01.020.001 : Biodispositivi e Biomolecole
Progetti Europei-
Allegati
Water monitoring: automated and real time identification and classification of algae using digital microscopy (documento privato )
Descrizione: Codice PuMa: cnr.isti/2014-A0-100
Tipo documento: application/pdf

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Editore
  • ROYAL SOC CHEMISTRY, THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, ENGLAND, CAMBRIDGE (Regno Unito)