J. W. Bacus, W. A. Yasnoff, M. G. Belanger

Research output: Chapter in Book/Report/Conference proceedingChapter


This paper describes the current status of automated analysis for the classification of blood cells in hematology, according to digital image processing and pattern recognition techniques. These techniques have developed very rapidly in the last few years, to the point where there are instruments working routinely in clinical laboratories automatically processing blood slides on a daily basis. It is estimated that worldwide at least 30,000 slides per day are being automatically processed by these new methods. As an example of this technology, the LARC (Leukocyte Automatic Recognition computer) system is discussed. A general review of the basic decision logic and hardware design of this system is presented with additional data relevant to clinical field trial evaluation and on-line operational evaluation. Additionally, current research in the areas of scene analysis for cell recognition, segmented versus band neutrophil classification, and red blood cell analysis, are discussed.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
Number of pages12
StatePublished - 1977
Externally publishedYes
EventProc $-$ Annu Symp on Comput Appl in Med Care, 1st - Washington, DC, USA
Duration: Oct 3 1977Oct 5 1977


OtherProc $-$ Annu Symp on Comput Appl in Med Care, 1st
CityWashington, DC, USA

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'COMPUTER TECHNIQUES FOR CELL ANALYSIS IN HEMATOLOGY.'. Together they form a unique fingerprint.

Cite this