Artículo

Super-resolution microscopy from standard images

Brinatti Vazquez, Guillermo DanielIcon ; Lacapmesure, Axel MauroIcon ; Toscani, MicaelaIcon ; Martinez, Sandra RitaIcon ; Martinez, Oscar EduardoIcon
Fecha de publicación: 12/2020
Editorial: Optica Publishing Group
Revista: Optics And Photonics News
ISSN: 1047-6938
Idioma: Inglés
Tipo de recurso: Artículo publicado
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Resumen

Edge detection in images is a key problem in quantitative cell biology, nanophotonics and other areas, but the edge-detection algorithms that have been developed suffer from serious limitations in precision. This year, we presented a computational method for super-resolution edge detection in single standard images that opens the possibility of detecting shapes of objects with features much smaller than the microscope’s point spread function.
Palabras clave: COMPUTATION METHODS , EDGE DETECTION , FLUORESCENCE MICROSCOPY , NANOPHOTONICS , POINT SPREAD FUNCTION , SUPER RESOLUTION MICROSCOPY
 
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/172499
URL: https://opg.optica.org/abstract.cfm?URI=opn-31-12-58
DOI: http://dx.doi.org/10.1364/OPN.31.12.000058
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Citación
Brinatti Vazquez, Guillermo Daniel; Lacapmesure, Axel Mauro; Toscani, Micaela; Martinez, Sandra Rita; Martinez, Oscar Eduardo; Super-resolution microscopy from standard images; Optica Publishing Group; Optics And Photonics News; 31; 12; 12-2020; 58-58
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