z-logo
open-access-imgOpen Access
An Image Analysis Method for the Precise Selection and Quantitation of Fluorescently Labeled Cellular Constituents
Author(s) -
Chibeza C. Agley,
Cristiana P. Velloso,
Norman R. Lazarus,
Stephen D. R. Harridge
Publication year - 2012
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 - 10.1369/0022155412442897
Subject(s) - adobe photoshop , immunocytochemistry , selection (genetic algorithm) , staining , computer science , biomedical engineering , computational biology , pathology , microbiology and biotechnology , biological system , biology , artificial intelligence , medicine , software , programming language
The accurate measurement of the morphological characteristics of cells with nonuniform conformations presents difficulties. We report here a straightforward method using immunofluorescent staining and the commercially available imaging program Adobe Photoshop, which allows objective and precise information to be gathered on irregularly shaped cells. We have applied this measurement technique to the analysis of human muscle cells and their immunologically marked intracellular constituents, as these cells are prone to adopting a highly branched phenotype in culture. Use of this method can be used to overcome many of the long-standing limitations of conventional approaches for quantifying muscle cell size in vitro. In addition, wider applications of Photoshop as a quantitative and semiquantitative tool in immunocytochemistry are explored.

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

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom