• DocumentCode
    2257509
  • Title

    Behaviour analysis of micro-organisms to observe invisible substance effects: Towards the more sensitive biological effect detectors

  • Author

    Orun, A.B. ; Kurugollu, F. ; Seker, H.

  • Author_Institution
    Dept. of Inf., De Montfort Univ., Leicester, UK
  • fYear
    2012
  • fDate
    5-7 Jan. 2012
  • Firstpage
    608
  • Lastpage
    611
  • Abstract
    This work aims to introduce a sequence of novel methods and techniques which may be exploited towards the development of very sensitive “biological effect detector” which helps unveil the invisible biological effects of a substance which normally may not be discovered by the conventional laboratory experiments in a short term. The work presented here is regarded as the accomplishment an early stage of very sensitive biological detector configuration and promises to develop an ultimate novel compact system. By the experiments the chain of invisible behavioural characteristics of micro-organisms are identified by Bayesian inference method.
  • Keywords
    belief networks; image sequences; inference mechanisms; medical image processing; microorganisms; Bayesian inference method; behaviour analysis; biological effect detectors; conventional laboratory experiments; image sequence; invisible substance effects; micro-organisms; sensitive biological detector configuration; ultimate novel compact system; Animals; Biomedical imaging; Educational institutions; Materials; Solvents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4577-2176-2
  • Electronic_ISBN
    978-1-4577-2175-5
  • Type

    conf

  • DOI
    10.1109/BHI.2012.6211656
  • Filename
    6211656