Literature DB >> 1557817

An image analysis workstation designed for multiple users: application of quantitative digital imaging techniques to electron microscopy.

C M Payne1, D W Cromey.   

Abstract

The purpose of the present study is to describe the setup of an image analysis workstation designed for multiple users, and to show the application of digital imaging techniques to the analysis of electron microscopic images. The image analysis system consists of a conventional light microscope mounted on a table-top, vibration-free platform, a light box for viewing negatives, two separate video cameras, a switch box, a video monitor, a digitizing tablet, a computer, and morphometric software packages. The system can quantitate the amount that each of the 256 gray levels contributes to the image, perform morphometric analysis (eg, shape and size) on individual gray level-defined subimages, and perform statistical analysis. Each operator has access to his or her own data and program setups through the use of 21.4-Mb removable Bernoulli cartridges. This setup for multiple users prevents the cluttering of the hard drive of the computer and avoids the possibility of accidentally removing the stored data of another user. The quantitative capabilities of the digital imaging system is demonstrated using an image of a normal lymphocyte and an apoptotic cell (ie, a cell which has undergone programmed cell death), both captured on the same electron microscopic negative. A comparison of the histograms of nuclear densities determined for these two cells reveals subtleties in gray level distribution not appreciated by the naked eye.

Mesh:

Year:  1992        PMID: 1557817     DOI: 10.3109/01913129209074558

Source DB:  PubMed          Journal:  Ultrastruct Pathol        ISSN: 0191-3123            Impact factor:   1.094


  1 in total

1.  Detection of apoptotic cells in human colorectal cancer by two different in situ methods: antibody against single-stranded DNA and terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end-labeling (TUNEL) methods.

Authors:  I Watanabe; M Toyoda; J Okuda; T Tenjo; K Tanaka; T Yamamoto; H Kawasaki; T Sugiyama; Y Kawarada; N Tanigawa
Journal:  Jpn J Cancer Res       Date:  1999-02
  1 in total

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