Literature DB >> 15253351

Automated species identification: why not?

Kevin J Gaston1, Mark A O'Neill.   

Abstract

Where possible, automation has been a common response of humankind to many activities that have to be repeated numerous times. The routine identification of specimens of previously described species has many of the characteristics of other activities that have been automated, and poses a major constraint on studies in many areas of both pure and applied biology. In this paper, we consider some of the reasons why automated species identification has not become widely employed, and whether it is a realistic option, addressing the notions that it is too difficult, too threatening, too different or too costly. Although recognizing that there are some very real technical obstacles yet to be overcome, we argue that progress in the development of automated species identification is extremely encouraging that such an approach has the potential to make a valuable contribution to reducing the burden of routine identifications. Vision and enterprise are perhaps more limiting at present than practical constraints on what might possibly be achieved.

Mesh:

Year:  2004        PMID: 15253351      PMCID: PMC1693351          DOI: 10.1098/rstb.2003.1442

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  12 in total

1.  Identification of phytoplankton from flow cytometry data by using radial basis function neural networks.

Authors:  M F Wilkins; L Boddy; C W Morris; R R Jonker
Journal:  Appl Environ Microbiol       Date:  1999-10       Impact factor: 4.792

2.  Challenges for taxonomy.

Authors:  H Charles J Godfray
Journal:  Nature       Date:  2002-05-02       Impact factor: 49.962

Review 3.  Pattern recognition in flow cytometry.

Authors:  L Boddy; M F Wilkins; C W Morris
Journal:  Cytometry       Date:  2001-07-01

4.  Progressing towards a biological names register.

Authors:  David J Patterson
Journal:  Nature       Date:  2003-04-17       Impact factor: 49.962

5.  Biological identifications through DNA barcodes.

Authors:  Paul D N Hebert; Alina Cywinska; Shelley L Ball; Jeremy R deWaard
Journal:  Proc Biol Sci       Date:  2003-02-07       Impact factor: 5.349

6.  DNA points the way ahead in taxonomy.

Authors:  Diethard Tautz; Peter Arctander; Alessandro Minelli; Richard H Thomas; Alfried P Vogler
Journal:  Nature       Date:  2002-08-01       Impact factor: 49.962

7.  How many species are there on Earth?

Authors:  R M May
Journal:  Science       Date:  1988-09-16       Impact factor: 47.728

8.  An algorithm for automated bacterial identification using matrix-assisted laser desorption/ionization mass spectrometry.

Authors:  K H Jarman; S T Cebula; A J Saenz; C E Petersen; N B Valentine; M T Kingsley; K L Wahl
Journal:  Anal Chem       Date:  2000-03-15       Impact factor: 6.986

9.  Neural network analysis of flow cytometric data for 40 marine phytoplankton species.

Authors:  L Boddy; C W Morris; M F Wilkins; G A Tarran; P H Burkill
Journal:  Cytometry       Date:  1994-04-01

10.  Acoustic identification of twelve species of echolocating bat by discriminant function analysis and artificial neural networks.

Authors:  S Parsons; G Jones
Journal:  J Exp Biol       Date:  2000-09       Impact factor: 3.312

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  37 in total

1.  Introduction. Taxonomy for the twenty-first century.

Authors:  H C J Godfray; S Knapp
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-04-29       Impact factor: 6.237

Review 2.  Taxonomy and environmental policy.

Authors:  Cristián Samper
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-04-29       Impact factor: 6.237

3.  The promise of a DNA taxonomy.

Authors:  Mark L Blaxter
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-04-29       Impact factor: 6.237

4.  Algorithms to automatically quantify the geometric similarity of anatomical surfaces.

Authors:  Doug M Boyer; Yaron Lipman; Elizabeth St Clair; Jesus Puente; Biren A Patel; Thomas Funkhouser; Jukka Jernvall; Ingrid Daubechies
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-24       Impact factor: 11.205

Review 5.  DNA barcodes for biosecurity: invasive species identification.

Authors:  K F Armstrong; S L Ball
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-10-29       Impact factor: 6.237

Review 6.  20 years since the introduction of DNA barcoding: from theory to application.

Authors:  Živa Fišer Pečnikar; Elena V Buzan
Journal:  J Appl Genet       Date:  2013-11-08       Impact factor: 3.240

Review 7.  Putting in shape: towards a unified approach for the taxonomic description of monogenean haptoral hard parts.

Authors:  M Vignon
Journal:  Syst Parasitol       Date:  2011-06-04       Impact factor: 1.431

8.  Toward an Automated Identification of Anastrepha Fruit Flies in the fraterculus group (Diptera, Tephritidae).

Authors:  P Perre; F A Faria; L R Jorge; A Rocha; R S Torres; M F Souza-Filho; T M Lewinsohn; R A Zucchi
Journal:  Neotrop Entomol       Date:  2016-05-08       Impact factor: 1.434

9.  Applications of deep convolutional neural networks to digitized natural history collections.

Authors:  Eric Schuettpelz; Paul B Frandsen; Rebecca B Dikow; Abel Brown; Sylvia Orli; Melinda Peters; Adam Metallo; Vicki A Funk; Laurence J Dorr
Journal:  Biodivers Data J       Date:  2017-11-02

10.  Bat wing biometrics: using collagen-elastin bundles in bat wings as a unique individual identifier.

Authors:  Sybill K Amelon; Sarah E Hooper; Kathryn M Womack
Journal:  J Mammal       Date:  2017-03-21       Impact factor: 2.416

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