2018
DOI: 10.1002/aps3.1204
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Shape outline extraction software (DiaOutline) for elliptic Fourier analysis application in morphometric studies

Abstract: Premise of the StudyStudies of plant cell and organ outline using shape analysis for taxonomic and morphological research have increased in the past decade. However, there are a limited number of available modern, intuitive, and easy software tools to conduct this work.MethodsWe developed a tool for shape outline extraction using MATLAB accompanied with R scripts to perform elliptic Fourier analysis. To demonstrate the shape tool, we applied the software and scripts for genera and species shape determinations … Show more

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Cited by 23 publications
(17 citation statements)
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“…Additional descriptive morphological data investigated in previous studies on N. palea were also recorded (Trobajo & Cox, 2006). For analysis of shape outlines, we used Elliptic Fourier Analysis (EFA) which is also implemented in diatom morphometric tools such as DiaOutline (Wishkerman and Hamilton 2018) and SHERPA (Kloster et al 2014). We extracted valve outlines from SEM images using the “Quick Selection” tool of Adobe Photoshop CC 2019 and exported these on a white background.…”
Section: Methodsmentioning
confidence: 99%
“…Additional descriptive morphological data investigated in previous studies on N. palea were also recorded (Trobajo & Cox, 2006). For analysis of shape outlines, we used Elliptic Fourier Analysis (EFA) which is also implemented in diatom morphometric tools such as DiaOutline (Wishkerman and Hamilton 2018) and SHERPA (Kloster et al 2014). We extracted valve outlines from SEM images using the “Quick Selection” tool of Adobe Photoshop CC 2019 and exported these on a white background.…”
Section: Methodsmentioning
confidence: 99%
“…In the simulation with removing the 1 st PC of global variation from PCA scores of NEFD data, we found the subsequent PCs a bit more equalized in the amount of reflected variation (see S1 Appendix ). In general, the success of automated identification depends on the range of variation in the data [ 62 ]. Therefore, we argue it is essential not to focus on a bold number but rather to be able to disentangle the contribution of separate descriptors to the discriminant model.…”
Section: Discussionmentioning
confidence: 99%
“…However, they used discriminant analysis as a dimensionality reduction tool and above its result applied other classification techniques. Authors of [66] evaluated their analyses of diatom cell shapes visually, i.e. as strength of separation of observations in the space of discriminant functions.…”
Section: Discussionmentioning
confidence: 99%