Digital high-spatial-resolution image reconstruction in visible multispectral microscopy imaging

Guillermo E.B. Machuca; Anselmo Jara; Pablo Coelho; Sergio N. Torres

Digital high-spatial-resolution image reconstruction in visible multispectral microscopy imaging

Guillermo E.B. Machuca^*, Anselmo Jara, Pablo Coelho, Sergio N. Torres

^*Autor correspondiente de este trabajo

Universidad de Concepción

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

This article presents an algorithm to improve spatial resolution from a sequence of multispectral microscopy images cubes. We propose to use spatial regularization terms that exploit the spatial-spectral structural similarity of the observed image.

Idioma original	Inglés
Título de la publicación alojada	Latin America Optics and Photonics Conference, LAOP 2022
Editorial	Optica Publishing Group (formerly OSA)
ISBN (versión digital)	9781957171135
Estado	Publicada - 2022
Evento	Latin America Optics and Photonics Conference, LAOP 2022 - Recife, Brasil Duración: 2022 → 2022

Serie de la publicación

Nombre	Optics InfoBase Conference Papers
ISSN (versión digital)	2162-2701

Conferencia

Conferencia	Latin America Optics and Photonics Conference, LAOP 2022
País/Territorio	Brasil
Ciudad	Recife
Período	07/08/22 → 11/08/22

Nota bibliográfica

Publisher Copyright:
© Optica Publishing Group 2022 The Authors.

Áreas temáticas de ASJC Scopus

Materiales electrónicos, ópticos y magnéticos
Mecánica de materiales

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@inproceedings{bc5923fdcf43477b8f029f562a46f4b7,

title = "Digital high-spatial-resolution image reconstruction in visible multispectral microscopy imaging",

abstract = "This article presents an algorithm to improve spatial resolution from a sequence of multispectral microscopy images cubes. We propose to use spatial regularization terms that exploit the spatial-spectral structural similarity of the observed image.",

author = "Machuca, {Guillermo E.B.} and Anselmo Jara and Pablo Coelho and Torres, {Sergio N.}",

note = "Funding Information: Fondecyt Postdoctoral program (3200636 and 3210436) and CONICYT/PAI PAI77180078. Publisher Copyright: {\textcopyright} Optica Publishing Group 2022 The Authors.; Latin America Optics and Photonics Conference, LAOP 2022 ; Conference date: 07-08-2022 Through 11-08-2022",

year = "2022",

language = "English",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Latin America Optics and Photonics Conference, LAOP 2022",

}

Machuca, GEB, Jara, A, Coelho, P & Torres, SN 2022, Digital high-spatial-resolution image reconstruction in visible multispectral microscopy imaging. En Latin America Optics and Photonics Conference, LAOP 2022., W4A.53, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA), Latin America Optics and Photonics Conference, LAOP 2022, Recife, Brasil, 07/08/22.

Digital high-spatial-resolution image reconstruction in visible multispectral microscopy imaging. / Machuca, Guillermo E.B.; Jara, Anselmo; Coelho, Pablo et al.
Latin America Optics and Photonics Conference, LAOP 2022. Optica Publishing Group (formerly OSA), 2022. W4A.53 (Optics InfoBase Conference Papers).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Digital high-spatial-resolution image reconstruction in visible multispectral microscopy imaging

AU - Machuca, Guillermo E.B.

AU - Jara, Anselmo

AU - Coelho, Pablo

AU - Torres, Sergio N.

PY - 2022

Y1 - 2022

N2 - This article presents an algorithm to improve spatial resolution from a sequence of multispectral microscopy images cubes. We propose to use spatial regularization terms that exploit the spatial-spectral structural similarity of the observed image.

AB - This article presents an algorithm to improve spatial resolution from a sequence of multispectral microscopy images cubes. We propose to use spatial regularization terms that exploit the spatial-spectral structural similarity of the observed image.

UR - http://www.scopus.com/inward/record.url?scp=85146672442&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85146672442

T3 - Optics InfoBase Conference Papers

BT - Latin America Optics and Photonics Conference, LAOP 2022

PB - Optica Publishing Group (formerly OSA)

T2 - Latin America Optics and Photonics Conference, LAOP 2022

Y2 - 7 August 2022 through 11 August 2022

ER -

Digital high-spatial-resolution image reconstruction in visible multispectral microscopy imaging

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

Áreas temáticas de ASJC Scopus

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