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Mobile Image Analysis for Microscopic Images of Seeds

Published online by Cambridge University Press:  04 August 2017

Ke Gao ,
Michele Warmund ,
Tommi White ,
Ruthie Angelovici  and
Filiz Bunyak
Ke Gao
Affiliation:
Department of Electrical Engineering and Computer Science, University of Missouri-Columbia, MO, USA
Michele Warmund
Affiliation:
Division of Plant Sciences, University of Missouri-Columbia, MO, USA
Tommi White
Affiliation:
Department of Biochemistry, University of Missouri-Columbia, MO, USA
Ruthie Angelovici
Affiliation:
Division of Biological Sciences, University of Missouri-Columbia, MO, USA
Filiz Bunyak
Affiliation:
Department of Electrical Engineering and Computer Science, University of Missouri-Columbia, MO, USA

Abstract

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Type
Abstract
Information
Microscopy and Microanalysis , Volume 23 , Supplement S1: Proceedings of Microscopy & Microanalysis 2017 , July 2017 , pp. 1326 - 1327
Copyright
© Microscopy Society of America 2017 

References

[1] Moore, Candace R., et al Mapping quantitative trait loci affecting Arabidopsis thaliana seed morphology features extracted computationally from images. G3: Genes| Genomes| Genetics 3.1 2013 109–118.Google Scholar
[2] Whan, Alex P, Smith, Alison B, Cavanagh, Colin R, Ral, Jean-Philippe F, Shaw, Lindsay M, Howitt, Crispin A & Bischof, Leanne Grainscan: a low cost, fast method for grain size and colour easurements. Plant methods vol. 10, no. 1, pp. 1–10, 2014.Google Scholar
[3] Ramya, P., et al QTL mapping of 1000-kernel weight, kernel length, and kernel width in bread wheat (Triticum aestivum L.). Journal of applied genetics 51.4 2010 421–429.Google Scholar