Library

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Histochemistry and cell biology 106 (1996), S. 521-526 
    ISSN: 1432-119X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Abstract  The aim of this paper is to present methods for a fully computerised analysis of spermatocyte movement. The technique were designed for processing pure images of spermatozoa captured from a light microscope. The techniques described allowed for the reduction of background light inhomogeneity and for the correct detection of moving cells and involved densitometric equalisation of background inhomogeneity and implementation of the dynamic threshold, adopted for the recognition of objects. The method for relating cells (found in each frame processed) to movement trajectories used heuristic rules, describing the behaviour of moving cells. This permitted samples containing high numbers of spermatocytes within the observed area to be processed with maximum accuracy.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Histochemistry and cell biology 106 (1996), S. 521-526 
    ISSN: 1432-119X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Abstract The aim of this paper is to present methods for a fully computerised analysis of spermatocyte movement. The technique were designed for processing pure images of spermatozoa captured from a light microscope. The techniques described allowed for the reduction of background light inhomogeneity and for the correct detection of moving cells and involved densitometric equalisation of background inhomogeneity and implementation of the dynamic threshold, adopted for the recognition of objects. The method for relating cells (found in each frame processed) to movement trajectories use heuristic rules, describing the behaviour of moving cells. This permitted samples containing high numbers of spermatocytes within the observed area to be processed with maximum accuracy.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...