These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Search MEDLINE/PubMed
Title: DNA image cytometry on machine-selected breast cancer cells and a comparison between flow cytometry and scanning cytophotometry. Author: Cornelisse CJ, Van Driel-Kulker AM. Journal: Cytometry; 1985 Sep; 6(5):471-7. PubMed ID: 4042787. Abstract: A DNA image cytometry method, implemented on the LEYTAS image processing system, has been applied to acriflavine-Feulgen-stained breast cancer cytology specimens. An essential feature of the LEYTAS image cytometry method (LCM) is the automated selection of single nuclei according to predetermined specifications. Visual interaction has been used to reject remaining artefacts like overlapping nuclei. DNA profiles obtained with LCM have been compared with DNA profiles obtained by scanning cytophotometry (SCM) or flow cytometry (FCM). The resolution of DNA profiles obtained with LCM is similar to that from SCM but lower than that from FCM. However, a high correlation is found for the DNA indices measured with LCM and FCM (r = 0.97). The LCM profiles of aneuploid tumours generally showed lower accessory diploid fractions than FCM profiles due to the automated rejection of leukocyte nuclei. Also, LCM profiles frequently showed the presence of minor subpopulations of highly aneuploid/polyploid tumour cells that could not be identified by FCM. Therefore, LCM appears to be supplementary to FCM for studying tumour cell stemline heterogeneity.[Abstract] [Full Text] [Related] [New Search]