National Institute of Standards and Technology

Variability of Object Measurements from 2D Microscopy Images


Summary

This project addresses object measurements from 2D microscopy images. Object measurements (called image features) vary in terms of theoretical formulas for the same image feature, the physical units used to represent pixel-based measurements, the definitions of objects in images (called regions of interest or ROIs), algorithmic implementations, the number of exposed parameters to a user, and programming languages. Our motivation is to introduce readers to image-based object measurements and to quantify numerical variability of (a) image features and (b) feature-based classification outcomes. The variability is evaluated across widely-used image feature extraction libraries to highlight the sources of variability when deriving image-based scientific conclusions.

Experimental Results

The experimental results were obtained as follows:

Data Downloads

All numerical features extracted by WIPP are available for downloading below.

All analyzed results presented in the interactive graphs and tables are also available for downloading below.

Publications:

Contributors:

ITL-Software and Systems Division
Information Systems Group
Lodz University of Technology, Poland

Contact:

Peter Bajcsy
peter.bajcsy@nist.gov
Phone: 301.975.2958

Date created: January 5, 2018 | Last updated: