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Comparison and Validation of Visual Assessment and Image Processing Algorithms to Quantify Morphology Dynamics of Euglena gracilis

Published online by Cambridge University Press:  30 July 2012

Anand Krishnan
Affiliation:
Systems, Power and Energy, School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
Ian Watson*
Affiliation:
Systems, Power and Energy, School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
Roger Parton
Affiliation:
Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8QQ, UK
James Sharp
Affiliation:
Systems, Power and Energy, School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
*
Corresponding author. E-mail: ian.watson@glasgow.ac.uk
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Abstract

Image processing algorithms were developed and compared with visual assessment from 12 volunteers to quantify the temporal morphological structure of a single Euglena gracilis organism. Representative images of E. gracilis, showing different morphological characteristics from ovate to cylindrical and elongate, were captured with a bright-field video microscopy system. These images were ranked by the volunteers in order from ovate to elongate. The images were analyzed in the spatial and spatial frequency domain, and the order of the images from each analysis was ranked against the visual assessment. The assessment methods agreeing with the volunteer's preferred sequence were an eccentricity measurement (major axis over the sum of the minor axis at three points), the cross correlation of the image without high pass filtering or edge detection, and cross correlation of the power spectral density.

Type
Biological Applications: Techniques, Software, and Equipment Development
Copyright
Copyright © Microscopy Society of America 2012

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Footnotes

Current address: Coherent, Inc., West of Scotland Science Park, Glasgow G20 0XA, UK

References

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