Green Fluorescent Protein and Phase-Contrast Image Fusion via Generative Adversarial Networks
Joint Authors
Peng, Hu
Tang, Wei
Liu, Yu
Zhang, Chao
Cheng, Juan
Chen, Xun
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-04
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In the field of cell and molecular biology, green fluorescent protein (GFP) images provide functional information embodying the molecular distribution of biological cells while phase-contrast images maintain structural information with high resolution.
Fusion of GFP and phase-contrast images is of high significance to the study of subcellular localization, protein functional analysis, and genetic expression.
This paper proposes a novel algorithm to fuse these two types of biological images via generative adversarial networks (GANs) by carefully taking their own characteristics into account.
The fusion problem is modelled as an adversarial game between a generator and a discriminator.
The generator aims to create a fused image that well extracts the functional information from the GFP image and the structural information from the phase-contrast image at the same time.
The target of the discriminator is to further improve the overall similarity between the fused image and the phase-contrast image.
Experimental results demonstrate that the proposed method can outperform several representative and state-of-the-art image fusion methods in terms of both visual quality and objective evaluation.
American Psychological Association (APA)
Tang, Wei& Liu, Yu& Zhang, Chao& Cheng, Juan& Peng, Hu& Chen, Xun. 2019. Green Fluorescent Protein and Phase-Contrast Image Fusion via Generative Adversarial Networks. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1130617
Modern Language Association (MLA)
Tang, Wei…[et al.]. Green Fluorescent Protein and Phase-Contrast Image Fusion via Generative Adversarial Networks. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1130617
American Medical Association (AMA)
Tang, Wei& Liu, Yu& Zhang, Chao& Cheng, Juan& Peng, Hu& Chen, Xun. Green Fluorescent Protein and Phase-Contrast Image Fusion via Generative Adversarial Networks. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1130617
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130617