Reconstruction algorithm using 2N+1 raw images for structured illumination microscopy

Xiang Fang; Kai Wen; Sha An; Juanjuan Zheng; Jianlang Li; Zeev Zalevsky; Peng Gao

doi:https://doi.org/10.1364/josaa.483884

Reconstruction algorithm using 2N+1 raw images for structured illumination microscopy

Xiang Fang, Kai Wen, Sha An, Juanjuan Zheng, Jianlang Li, Zeev Zalevsky, Peng Gao

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Bar-Ilan University

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents a structured illumination microscopy (SIM) reconstruction algorithm that allows the reconstruction of super-resolved images with 2N + 1 raw intensity images, with N being the number of structured illumination directions used. The intensity images are recorded after using a 2D grating for the projection fringe and a spatial light modulator to select two orthogonal fringe orientations and perform phase shifting. Super-resolution images can be reconstructed from the five intensity images, enhancing the imaging speed and reducing the photobleaching by 17%, compared to conventional two-direction and three-step phase-shifting SIM. We believe the proposed technique will be further developed and widely applied in many fields.

Original language	English
Pages (from-to)	765-773
Number of pages	9
Journal	Journal of the Optical Society of America A: Optics and Image Science, and Vision
Volume	40
Issue number	4
DOIs	https://doi.org/10.1364/josaa.483884
State	Published - 1 Apr 2023

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Computer Vision and Pattern Recognition

Access to Document

https://doi.org/10.1364/josaa.483884

Cite this

@article{020c460ecaaa4aa9bce0b6f3275dc4f3,

title = "Reconstruction algorithm using 2N+1 raw images for structured illumination microscopy",

abstract = "This paper presents a structured illumination microscopy (SIM) reconstruction algorithm that allows the reconstruction of super-resolved images with 2N + 1 raw intensity images, with N being the number of structured illumination directions used. The intensity images are recorded after using a 2D grating for the projection fringe and a spatial light modulator to select two orthogonal fringe orientations and perform phase shifting. Super-resolution images can be reconstructed from the five intensity images, enhancing the imaging speed and reducing the photobleaching by 17%, compared to conventional two-direction and three-step phase-shifting SIM. We believe the proposed technique will be further developed and widely applied in many fields.",

author = "Xiang Fang and Kai Wen and Sha An and Juanjuan Zheng and Jianlang Li and Zeev Zalevsky and Peng Gao",

note = "Publisher Copyright: {\textcopyright} 2023 Optica Publishing Group.",

year = "2023",

month = apr,

day = "1",

doi = "https://doi.org/10.1364/josaa.483884",

language = "الإنجليزيّة",

volume = "40",

pages = "765--773",

journal = "Journal of the Optical Society of America A: Optics and Image Science, and Vision",

issn = "1084-7529",

publisher = "The Optical Society",

number = "4",

}

TY - JOUR

T1 - Reconstruction algorithm using 2N+1 raw images for structured illumination microscopy

AU - Fang, Xiang

AU - Wen, Kai

AU - An, Sha

AU - Zheng, Juanjuan

AU - Li, Jianlang

AU - Zalevsky, Zeev

AU - Gao, Peng

PY - 2023/4/1

Y1 - 2023/4/1

N2 - This paper presents a structured illumination microscopy (SIM) reconstruction algorithm that allows the reconstruction of super-resolved images with 2N + 1 raw intensity images, with N being the number of structured illumination directions used. The intensity images are recorded after using a 2D grating for the projection fringe and a spatial light modulator to select two orthogonal fringe orientations and perform phase shifting. Super-resolution images can be reconstructed from the five intensity images, enhancing the imaging speed and reducing the photobleaching by 17%, compared to conventional two-direction and three-step phase-shifting SIM. We believe the proposed technique will be further developed and widely applied in many fields.

AB - This paper presents a structured illumination microscopy (SIM) reconstruction algorithm that allows the reconstruction of super-resolved images with 2N + 1 raw intensity images, with N being the number of structured illumination directions used. The intensity images are recorded after using a 2D grating for the projection fringe and a spatial light modulator to select two orthogonal fringe orientations and perform phase shifting. Super-resolution images can be reconstructed from the five intensity images, enhancing the imaging speed and reducing the photobleaching by 17%, compared to conventional two-direction and three-step phase-shifting SIM. We believe the proposed technique will be further developed and widely applied in many fields.

UR - http://www.scopus.com/inward/record.url?scp=85151779691&partnerID=8YFLogxK

U2 - https://doi.org/10.1364/josaa.483884

DO - https://doi.org/10.1364/josaa.483884

M3 - مقالة

C2 - 37132974

SN - 1084-7529

VL - 40

SP - 765

EP - 773

JO - Journal of the Optical Society of America A: Optics and Image Science, and Vision

JF - Journal of the Optical Society of America A: Optics and Image Science, and Vision

IS - 4

ER -

Reconstruction algorithm using 2N+1 raw images for structured illumination microscopy

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this