Computer aided analysis of chromatin network and basophil color for differentiation of mononuclear peripheral blood cells. | Zendy

H. Harms | Zendy; U. Gunzer | Zendy; H. M. Aus | Zendy; A Rüter | Zendy; M. Haucke | Zendy; Volker ter Meulen | Zendy

Open Access

Computer aided analysis of chromatin network and basophil color for differentiation of mononuclear peripheral blood cells.

Author(s) -

H. Harms,

U. Gunzer,

H. M. Aus,

A Rüter,

M. Haucke,

Volker ter Meulen

Publication year - 1979

Publication title -

journal of histochemistry and cytochemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.971

H-Index - 124

eISSN - 1551-5044

pISSN - 0022-1554

DOI - 10.1177/27.1.374576

Subject(s) - chromatin , multispectral image , basophil , cluster analysis , artificial intelligence , computer science , chromatic scale , peripheral blood mononuclear cell , peripheral blood , filter (signal processing) , pattern recognition (psychology) , computational biology , biology , computer vision , physics , immunology , optics , genetics , dna , immunoglobulin e , antibody , in vitro

Computer aided differentiation of plasmoblasts, Pfeiffer cells, immunoblasts, lymphocytes and centrocytes is achieved with the parameters of chromatin network arrangement and structure, and multispectral cytoplasm color. The digital methods involve: (a) segmenting the nuclear image into topographic sections and analyzing the optical density distribution from the chromatin in these sections; (b) determining the nuclear structure with a 7 x 7 median filter, gradient filter and contour following algorithms; and (c) clustering two-dimensional chromatic data from panoptically stained cellular components. The parameters reported here are a subset of those needed for the automated diagnosis of many hematologic diseases especially the leukemias.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research