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High speed quantitative digital microscopy

  • Kenneth R. Castleman
  • , Kenneth H. Castleman
  • , Raymond Eskenazi
  • , Musa M. Ovadya
  • , Mois A. Navon
  • Jet Propulsion Laboratory, California Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Modern digital image processing hardware makes possible quantitative analysis of microscope images at high speed. This paper describes an application to automatic screening for cervical cancer. The system uses twelve MC6809 microprocessors arranged in a pipeline multiprocessor configuration. Each processor executes one part of the algorithm on each cell image as it passes through the pipeline. Each processor communicates with its upstream and downstream neighbors via shared two-port memory. Thus no time is devoted to input-output operations as such. This configuration is expected to be at least ten times faster than previous systems.

Original languageEnglish
Pages (from-to)8-11
Number of pages4
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume516
DOIs
StatePublished - 28 Feb 1985
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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