Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy

Autores
Ruckebusch, Cyril; Bernex, Romain; Allegrini, Franco; Sliwa, Michel; Hofkens, Johan; Dedecker, Peter
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Recent advances in fluorescence bioimaging with single-molecule sensitivity have relied on the analysis and visualization of single-molecule data obtained on smart fluorophores. We describe an alternative method to enhance the information content of densely labeled fluorescence images. Visualization is improved by representing pixels as the dissimilarities of the fluctuations of the fluorescence signals, with the dissimilarity being taken to the mean of the signals over all the pixels. Mapping pixel dissimilarity (Mappix) results in signal and information enhancement of the output images. In addition, the spatial distribution of the fluorescence brightness of the original image is not skewed. This allows large differences of molecular brightness to be handled which turns out to be critical to the fidelity of the final image. In this work, we provide testing of the Mappix approach with both simulated and real data. The results obtained on HEK cells expressing Dronpa photoswitchable fluorescent protein show that, for densely labeled samples, improvement can be obtained on fluorescence images allowing the observation of structural information. Despite some limitations, comparison to state of art methods reveals that Mappix can be very useful for biological imaging applications.
Fil: Ruckebusch, Cyril. Universite de Lille I; Francia
Fil: Bernex, Romain. Universite de Lille I; Francia
Fil: Allegrini, Franco. Universite de Lille I; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: Sliwa, Michel. Universite de Lille I; Francia
Fil: Hofkens, Johan. Katholikie Universiteit Leuven; Bélgica
Fil: Dedecker, Peter. Katholikie Universiteit Leuven; Bélgica
Materia
Superresolution Fluorescence Microscopy
Pixel dissimilarity
Single molecule visualization
Biological Imaging
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/100747
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopyRuckebusch, CyrilBernex, RomainAllegrini, FrancoSliwa, MichelHofkens, JohanDedecker, PeterSuperresolution Fluorescence MicroscopyPixel dissimilaritySingle molecule visualizationBiological Imaginghttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Recent advances in fluorescence bioimaging with single-molecule sensitivity have relied on the analysis and visualization of single-molecule data obtained on smart fluorophores. We describe an alternative method to enhance the information content of densely labeled fluorescence images. Visualization is improved by representing pixels as the dissimilarities of the fluctuations of the fluorescence signals, with the dissimilarity being taken to the mean of the signals over all the pixels. Mapping pixel dissimilarity (Mappix) results in signal and information enhancement of the output images. In addition, the spatial distribution of the fluorescence brightness of the original image is not skewed. This allows large differences of molecular brightness to be handled which turns out to be critical to the fidelity of the final image. In this work, we provide testing of the Mappix approach with both simulated and real data. The results obtained on HEK cells expressing Dronpa photoswitchable fluorescent protein show that, for densely labeled samples, improvement can be obtained on fluorescence images allowing the observation of structural information. Despite some limitations, comparison to state of art methods reveals that Mappix can be very useful for biological imaging applications.Fil: Ruckebusch, Cyril. Universite de Lille I; FranciaFil: Bernex, Romain. Universite de Lille I; FranciaFil: Allegrini, Franco. Universite de Lille I; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; ArgentinaFil: Sliwa, Michel. Universite de Lille I; FranciaFil: Hofkens, Johan. Katholikie Universiteit Leuven; BélgicaFil: Dedecker, Peter. Katholikie Universiteit Leuven; BélgicaAmerican Chemical Society2015-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/100747Ruckebusch, Cyril; Bernex, Romain; Allegrini, Franco; Sliwa, Michel; Hofkens, Johan; et al.; Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy; American Chemical Society; Analytical Chemistry; 87; 9; 5-2015; 4675-46820003-2700CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1021/ac504295pinfo:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/ac504295pinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:02:26Zoai:ri.conicet.gov.ar:11336/100747instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:02:27.223CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy
title Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy
spellingShingle Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy
Ruckebusch, Cyril
Superresolution Fluorescence Microscopy
Pixel dissimilarity
Single molecule visualization
Biological Imaging
title_short Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy
title_full Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy
title_fullStr Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy
title_full_unstemmed Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy
title_sort Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy
dc.creator.none.fl_str_mv Ruckebusch, Cyril
Bernex, Romain
Allegrini, Franco
Sliwa, Michel
Hofkens, Johan
Dedecker, Peter
author Ruckebusch, Cyril
author_facet Ruckebusch, Cyril
Bernex, Romain
Allegrini, Franco
Sliwa, Michel
Hofkens, Johan
Dedecker, Peter
author_role author
author2 Bernex, Romain
Allegrini, Franco
Sliwa, Michel
Hofkens, Johan
Dedecker, Peter
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Superresolution Fluorescence Microscopy
Pixel dissimilarity
Single molecule visualization
Biological Imaging
topic Superresolution Fluorescence Microscopy
Pixel dissimilarity
Single molecule visualization
Biological Imaging
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Recent advances in fluorescence bioimaging with single-molecule sensitivity have relied on the analysis and visualization of single-molecule data obtained on smart fluorophores. We describe an alternative method to enhance the information content of densely labeled fluorescence images. Visualization is improved by representing pixels as the dissimilarities of the fluctuations of the fluorescence signals, with the dissimilarity being taken to the mean of the signals over all the pixels. Mapping pixel dissimilarity (Mappix) results in signal and information enhancement of the output images. In addition, the spatial distribution of the fluorescence brightness of the original image is not skewed. This allows large differences of molecular brightness to be handled which turns out to be critical to the fidelity of the final image. In this work, we provide testing of the Mappix approach with both simulated and real data. The results obtained on HEK cells expressing Dronpa photoswitchable fluorescent protein show that, for densely labeled samples, improvement can be obtained on fluorescence images allowing the observation of structural information. Despite some limitations, comparison to state of art methods reveals that Mappix can be very useful for biological imaging applications.
Fil: Ruckebusch, Cyril. Universite de Lille I; Francia
Fil: Bernex, Romain. Universite de Lille I; Francia
Fil: Allegrini, Franco. Universite de Lille I; Francia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
Fil: Sliwa, Michel. Universite de Lille I; Francia
Fil: Hofkens, Johan. Katholikie Universiteit Leuven; Bélgica
Fil: Dedecker, Peter. Katholikie Universiteit Leuven; Bélgica
description Recent advances in fluorescence bioimaging with single-molecule sensitivity have relied on the analysis and visualization of single-molecule data obtained on smart fluorophores. We describe an alternative method to enhance the information content of densely labeled fluorescence images. Visualization is improved by representing pixels as the dissimilarities of the fluctuations of the fluorescence signals, with the dissimilarity being taken to the mean of the signals over all the pixels. Mapping pixel dissimilarity (Mappix) results in signal and information enhancement of the output images. In addition, the spatial distribution of the fluorescence brightness of the original image is not skewed. This allows large differences of molecular brightness to be handled which turns out to be critical to the fidelity of the final image. In this work, we provide testing of the Mappix approach with both simulated and real data. The results obtained on HEK cells expressing Dronpa photoswitchable fluorescent protein show that, for densely labeled samples, improvement can be obtained on fluorescence images allowing the observation of structural information. Despite some limitations, comparison to state of art methods reveals that Mappix can be very useful for biological imaging applications.
publishDate 2015
dc.date.none.fl_str_mv 2015-05
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/11336/100747
Ruckebusch, Cyril; Bernex, Romain; Allegrini, Franco; Sliwa, Michel; Hofkens, Johan; et al.; Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy; American Chemical Society; Analytical Chemistry; 87; 9; 5-2015; 4675-4682
0003-2700
CONICET Digital
CONICET
url http://hdl.handle.net/11336/100747
identifier_str_mv Ruckebusch, Cyril; Bernex, Romain; Allegrini, Franco; Sliwa, Michel; Hofkens, Johan; et al.; Mapping pixel dissimilarity in wide-field super-resolution fluorescence microscopy; American Chemical Society; Analytical Chemistry; 87; 9; 5-2015; 4675-4682
0003-2700
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1021/ac504295p
info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/ac504295p
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Chemical Society
publisher.none.fl_str_mv American Chemical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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