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

^*Corresponding author for this work

Universidad de Concepción

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Latin America Optics and Photonics Conference, LAOP 2022
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	9781957171135
State	Published - 2022
Event	Latin America Optics and Photonics Conference, LAOP 2022 - Recife, Brazil Duration: 2022 → 2022

Publication series

Name	Optics InfoBase Conference Papers
ISSN (Electronic)	2162-2701

Conference

Conference	Latin America Optics and Photonics Conference, LAOP 2022
Country/Territory	Brazil
City	Recife
Period	07/08/22 → 11/08/22

Bibliographical note

Funding Information:
Fondecyt Postdoctoral program (3200636 and 3210436) and CONICYT/PAI PAI77180078.

Publisher Copyright:
© Optica Publishing Group 2022 The Authors.

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@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. in 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, Brazil, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this