Open AccessLeukemia‐related morphological features in blast cells
Author(s) -
Aus H. M.,
Harms H.,
Haucke M.,
Beritova J.,
ter Meulen V.,
Gunzer U.,
Baumann I.,
Abmayr W.
Publication year - 1986
Publication title -
cytometry
Language(s) - English
Resource type - Journals
eISSN - 1097-0320
pISSN - 0196-4763
DOI - 10.1002/cyto.990070411
Subject(s) - leukemia , cytometry , artificial intelligence , pattern recognition (psychology) , pathology , computer science , flow cytometry , biology , medicine , immunology
This paper investigates the use of image‐processing methods to detect leukemia‐related morphological differences in mononuclear blast cells. Routinely prepared Pappenheim‐stained blood smears were scanned in a high‐resolution color TV‐microscope system. Eleven blast‐cell classes (OMSBC, T‐ALL, OMS, ALL, LBL, IBL, AUL, AML, AMOL, AMMOL, and CML) were analyzed with the nonparametric statistical software program „Classification and Regression Trees” (CART). This paper documents the initial statistical evaluation of 62 leukemia‐related morphological features that directly measure and analyze the cell‐related quantifiable differences occurring in the various blast cells. The 62 cell image features include both common cytophotometric features, and new texture and color features developed for this project. This study found that each leukemia specimen contains a dominant class of blasts that correlates with the specific leukemia, plus a distribution of blasts from related diseases. The present data suggest the existence of a distribution fingerprint pattern for each leukemia.