Toward objective selection of representative microscope images

Mia K. Markey, Michael V. Boland, Robert F. Murphy

Research output: Contribution to journalArticlepeer-review

Abstract

Scientists wishing to communicate the essential characteristics of a pattern (such as an immunofluorescence distribution) currently must make a subjective choice of one or two images to publish. We therefore developed methods for objectively choosing a typical image from a set, with emphasis on images from cell biology. The methods involve calculation of numerical features to describe each image, calculation of similarity between images as a distance in feature space, and ranking of images by distance from the center of the feature distribution. Two types of features were explored image texture measures and Zernike polynomial moments, and various distance measures were utilized. Criteria for evaluating methods for assigning typicality were proposed and applied to sets of images containing more than one pattern. The results indicate the importance of using distance measures that are insensitive to the presence of outliers. For collections of images of the distributions of a lysosomal protein, a Golgi protein, and nuclear DNA, the images chosen as most typical were in good agreement with the conventional understanding of organelle morphologies. The methods described here have been implemented in a web server (http://murphylab.web.cmu.edu/services/TypIC).

Original languageEnglish (US)
Pages (from-to)2230-2237
Number of pages8
JournalBiophysical journal
Volume76
Issue number4
DOIs
StatePublished - 1999
Externally publishedYes

ASJC Scopus subject areas

  • Biophysics

Fingerprint Dive into the research topics of 'Toward objective selection of representative microscope images'. Together they form a unique fingerprint.

Cite this