High-speed cell analysis and sorting with flow systems: Biological applications and new approaches

Marvin A. Van Dilla, Lloyd L. Steinmetz, Don T. Davis, Ross N. Calver, Joe Gray

Research output: Contribution to journalArticle

26 Scopus citations

Abstract

A brief historical account of cell analysis and sorting by high-speed flow-through methods is presented. The status of the Lawrence Livermore Laboratory program in this area is described, including biological applications such as the measurement of the DNA content of mouse liver cells and cultured mammalian cells. Histograms of cellular DNA content can be analyzed mathematically by means of a least squares fitting code. The usefulness of this procedure in extracting information on the life cycle parameters of growing cells is demonstrated. A simple computer model of cell growth is used to demonstrate the accuracy of the fitting code and to elucidate shifts in the shape of the DNA histogram as a function of the fraction of cells in the DNA synthesis phase. A new electronic cell sorter is described with emphasis on new features that insure simplicity, reliability, ease of operation, flexibility, and efficiency. Future directions of both technological development and biomedical applications are considered.

Original languageEnglish (US)
Pages (from-to)714-720
Number of pages7
JournalIEEE Transactions on Nuclear Science
Volume21
Issue number1
DOIs
StatePublished - Feb 1974

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Nuclear Energy and Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'High-speed cell analysis and sorting with flow systems: Biological applications and new approaches'. Together they form a unique fingerprint.

  • Cite this