Unit

UNIT 12.21 From Image to Data Using Common Image-Processing Techniques

  1. Laura R. Sysko,
  2. Michael A. Davis

Published Online: 1 OCT 2010

DOI: 10.1002/0471142956.cy1221s54

Current Protocols in Cytometry

Current Protocols in Cytometry

How to Cite

Sysko, L. R. and Davis, M. A. 2010. From Image to Data Using Common Image-Processing Techniques. Current Protocols in Cytometry. 54:12.21:12.21.1–12.21.17.

Author Information

  1. Nikon Instruments Inc., Melville, New York

Publication History

  1. Published Online: 1 OCT 2010
  2. Published Print: OCT 2010

Abstract

A digital microscopy image is an array of number values, which with adequate contrast can be interpreted as spatial information. Through processing and analysis by mathematical means, using computer-assisted imaging software programs, raw image data contrast can be enhanced to improve the extraction of image features for measurement and analysis. This mathematical feature extraction (referred to as segmentation) provides the basis for general image processing. The methods discussed in this unit address common image analysis challenges such as object counting with touching objects, objects within other objects, and object identification in a field with uneven illumination or uneven brightness, along with step-by-step procedures for achieving these results. Curr. Protoc. Cytom. 54:12.21.1-12.21.17. © 2010 by John Wiley & Sons, Inc.

Keywords:

  • image analysis;
  • segmentation;
  • image processing;
  • image measurement;
  • digital imaging;
  • thresholding;
  • automated counting