How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find...
- Autores
- Setten, Lorena; Guillen, Noelia Belén; Favret, Eduardo Alfredo
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In recent years, our research has focused on the microtopography of different soil-digging beetles, with the aim of identifying the pattern responsible for reducing the adhesion of soil particles to agricultural machinery components [1, 2]. The main characteristic of the microtopography (micro relief) of the cuticular surface of the pronotum of these beetles is the presence of dimples apparently randomly distributed. In the present work, the angular orientation of the dimples pattern is quantified by employing the Rotated Image with Maximum Average Power Spectrum (RIMAPS) technique [3]. The RIMAPS technique, facilitated by software [4], involves the rotation of the image and the calculation of the x-step of the two-dimensional Fourier transform for each y-line of the resulting new image after rotation. Averaged power spectra are obtained for each angular position, and the corresponding maximum values are plotted as a function of rotation angle. The maxima of the RIMAPS spectrum are indicative of the main angular directions of the topographic pattern.
Instituto de Suelos
Fil: Setten, Lorena María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Guillén, Noelia Belén. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; Argentina
Fil: Favret, Eduardo Alfredo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; Argentina - Fuente
- Microscopy and microanalysis 31 (Suppl. 1) : 2060-2061 (July 2025)
- Materia
-
Soil
Microscopy
Beetles
Suelo
Microscopia
Escarabajo
Sulcophanaeus batasi
Superficies Antiadherentes
Antiadhesive Surfaces
RIMAPS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/23894
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How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten.Setten, LorenaGuillen, Noelia BelénFavret, Eduardo AlfredoSoilMicroscopyBeetlesSueloMicroscopiaEscarabajoSulcophanaeus batasiSuperficies AntiadherentesAntiadhesive SurfacesRIMAPSIn recent years, our research has focused on the microtopography of different soil-digging beetles, with the aim of identifying the pattern responsible for reducing the adhesion of soil particles to agricultural machinery components [1, 2]. The main characteristic of the microtopography (micro relief) of the cuticular surface of the pronotum of these beetles is the presence of dimples apparently randomly distributed. In the present work, the angular orientation of the dimples pattern is quantified by employing the Rotated Image with Maximum Average Power Spectrum (RIMAPS) technique [3]. The RIMAPS technique, facilitated by software [4], involves the rotation of the image and the calculation of the x-step of the two-dimensional Fourier transform for each y-line of the resulting new image after rotation. Averaged power spectra are obtained for each angular position, and the corresponding maximum values are plotted as a function of rotation angle. The maxima of the RIMAPS spectrum are indicative of the main angular directions of the topographic pattern.Instituto de SuelosFil: Setten, Lorena María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; ArgentinaFil: Guillén, Noelia Belén. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; ArgentinaFil: Favret, Eduardo Alfredo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; ArgentinaOxford University Press2025-09-23T10:56:21Z2025-09-23T10:56:21Z2025-07-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/23894https://academic.oup.com/mam/article/31/Supplement_1/ozaf048.1021/82131312060-2061https://doi.org/10.1093/mam/ozaf048.1021Microscopy and microanalysis 31 (Suppl. 1) : 2060-2061 (July 2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:47:32Zoai:localhost:20.500.12123/23894instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:47:33.073INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten. |
title |
How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten. |
spellingShingle |
How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten. Setten, Lorena Soil Microscopy Beetles Suelo Microscopia Escarabajo Sulcophanaeus batasi Superficies Antiadherentes Antiadhesive Surfaces RIMAPS |
title_short |
How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten. |
title_full |
How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten. |
title_fullStr |
How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten. |
title_full_unstemmed |
How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten. |
title_sort |
How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten. |
dc.creator.none.fl_str_mv |
Setten, Lorena Guillen, Noelia Belén Favret, Eduardo Alfredo |
author |
Setten, Lorena |
author_facet |
Setten, Lorena Guillen, Noelia Belén Favret, Eduardo Alfredo |
author_role |
author |
author2 |
Guillen, Noelia Belén Favret, Eduardo Alfredo |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Soil Microscopy Beetles Suelo Microscopia Escarabajo Sulcophanaeus batasi Superficies Antiadherentes Antiadhesive Surfaces RIMAPS |
topic |
Soil Microscopy Beetles Suelo Microscopia Escarabajo Sulcophanaeus batasi Superficies Antiadherentes Antiadhesive Surfaces RIMAPS |
dc.description.none.fl_txt_mv |
In recent years, our research has focused on the microtopography of different soil-digging beetles, with the aim of identifying the pattern responsible for reducing the adhesion of soil particles to agricultural machinery components [1, 2]. The main characteristic of the microtopography (micro relief) of the cuticular surface of the pronotum of these beetles is the presence of dimples apparently randomly distributed. In the present work, the angular orientation of the dimples pattern is quantified by employing the Rotated Image with Maximum Average Power Spectrum (RIMAPS) technique [3]. The RIMAPS technique, facilitated by software [4], involves the rotation of the image and the calculation of the x-step of the two-dimensional Fourier transform for each y-line of the resulting new image after rotation. Averaged power spectra are obtained for each angular position, and the corresponding maximum values are plotted as a function of rotation angle. The maxima of the RIMAPS spectrum are indicative of the main angular directions of the topographic pattern. Instituto de Suelos Fil: Setten, Lorena María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina Fil: Guillén, Noelia Belén. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; Argentina Fil: Favret, Eduardo Alfredo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; Argentina |
description |
In recent years, our research has focused on the microtopography of different soil-digging beetles, with the aim of identifying the pattern responsible for reducing the adhesion of soil particles to agricultural machinery components [1, 2]. The main characteristic of the microtopography (micro relief) of the cuticular surface of the pronotum of these beetles is the presence of dimples apparently randomly distributed. In the present work, the angular orientation of the dimples pattern is quantified by employing the Rotated Image with Maximum Average Power Spectrum (RIMAPS) technique [3]. The RIMAPS technique, facilitated by software [4], involves the rotation of the image and the calculation of the x-step of the two-dimensional Fourier transform for each y-line of the resulting new image after rotation. Averaged power spectra are obtained for each angular position, and the corresponding maximum values are plotted as a function of rotation angle. The maxima of the RIMAPS spectrum are indicative of the main angular directions of the topographic pattern. |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-09-23T10:56:21Z 2025-09-23T10:56:21Z 2025-07-25 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/23894 https://academic.oup.com/mam/article/31/Supplement_1/ozaf048.1021/8213131 2060-2061 https://doi.org/10.1093/mam/ozaf048.1021 |
url |
http://hdl.handle.net/20.500.12123/23894 https://academic.oup.com/mam/article/31/Supplement_1/ozaf048.1021/8213131 https://doi.org/10.1093/mam/ozaf048.1021 |
identifier_str_mv |
2060-2061 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Oxford University Press |
publisher.none.fl_str_mv |
Oxford University Press |
dc.source.none.fl_str_mv |
Microscopy and microanalysis 31 (Suppl. 1) : 2060-2061 (July 2025) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
reponame_str |
INTA Digital (INTA) |
collection |
INTA Digital (INTA) |
instname_str |
Instituto Nacional de Tecnología Agropecuaria |
repository.name.fl_str_mv |
INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
repository.mail.fl_str_mv |
tripaldi.nicolas@inta.gob.ar |
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13.070432 |