Attention U-Net for denoising the multiplexed Digital Holographic Microscopy

Vineela Chandra Dodda; Lakshmi Kuruguntla; Manoj Kumar; Osamu Matoba; Inbarasan Muniraj

Attention U-Net for denoising the multiplexed Digital Holographic Microscopy

Vineela Chandra Dodda, Lakshmi Kuruguntla, Manoj Kumar, Osamu Matoba, Inbarasan Muniraj

Research output: Contribution to conference › Paper › peer-review

Abstract

Here, we demonstrate the efficacy of an attention-based U-Net architecture for denoising the reconstructed noisy amplitude and phase from a multi-beam interference-based digital holographic microscopy. The results demonstrate the effectiveness of our proposed network.

Original language	English
State	Published - 1 Jan 2024
Externally published	Yes
Event	3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress - Toulouse, France Duration: 15 Jul 2024 → 19 Jul 2024

Conference

Conference	3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress
Country/Territory	France
City	Toulouse
Period	15/07/24 → 19/07/24

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Instrumentation
Atomic and Molecular Physics, and Optics
General Computer Science
Space and Planetary Science
Control and Systems Engineering
Electrical and Electronic Engineering

Cite this

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title = "Attention U-Net for denoising the multiplexed Digital Holographic Microscopy",

abstract = "Here, we demonstrate the efficacy of an attention-based U-Net architecture for denoising the reconstructed noisy amplitude and phase from a multi-beam interference-based digital holographic microscopy. The results demonstrate the effectiveness of our proposed network.",

author = "Dodda, {Vineela Chandra} and Lakshmi Kuruguntla and Manoj Kumar and Osamu Matoba and Inbarasan Muniraj",

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Attention U-Net for denoising the multiplexed Digital Holographic Microscopy. / Dodda, Vineela Chandra; Kuruguntla, Lakshmi; Kumar, Manoj et al.
2024. Paper presented at 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress, Toulouse, France.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Attention U-Net for denoising the multiplexed Digital Holographic Microscopy

AU - Dodda, Vineela Chandra

AU - Kuruguntla, Lakshmi

AU - Kumar, Manoj

AU - Matoba, Osamu

AU - Muniraj, Inbarasan

PY - 2024/1/1

Y1 - 2024/1/1

N2 - Here, we demonstrate the efficacy of an attention-based U-Net architecture for denoising the reconstructed noisy amplitude and phase from a multi-beam interference-based digital holographic microscopy. The results demonstrate the effectiveness of our proposed network.

AB - Here, we demonstrate the efficacy of an attention-based U-Net architecture for denoising the reconstructed noisy amplitude and phase from a multi-beam interference-based digital holographic microscopy. The results demonstrate the effectiveness of our proposed network.

UR - http://www.scopus.com/inward/record.url?scp=85204871967&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85204871967

T2 - 3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2024 - Part of Optica Imaging Congress

Y2 - 15 July 2024 through 19 July 2024

ER -

Attention U-Net for denoising the multiplexed Digital Holographic Microscopy

Abstract

Conference

ASJC Scopus subject areas

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