Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors
In the process of biological detection of porous silicon photonic crystals based on quantum dots, the concentration of target organisms can be indirectly measured via the change in the gray value of the fluorescence emitted from the quantum dots in the porous silicon pores before and after the biolo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/4/1366 |
| _version_ | 1797476763731755008 |
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| author | Yong Liu Miao Sun Zhenhong Jia Jie Yang Nikola K. Kasabov |
| author_facet | Yong Liu Miao Sun Zhenhong Jia Jie Yang Nikola K. Kasabov |
| author_sort | Yong Liu |
| collection | DOAJ |
| description | In the process of biological detection of porous silicon photonic crystals based on quantum dots, the concentration of target organisms can be indirectly measured via the change in the gray value of the fluorescence emitted from the quantum dots in the porous silicon pores before and after the biological reaction on the surface of the device. However, due to the disordered nanostructures in porous silicon and the roughness of the surface, the fluorescence images on the surface contain noise. This paper analyzes the type of noise and its influence on the gray value of fluorescent images. The change in the gray value caused by noise greatly reduces the detection sensitivity. To reduce the influence of noise on the gray value of quantum dot fluorescence images, this paper proposes a denoising method based on gray compression and nonlocal anisotropic diffusion filtering. We used the proposed method to denoise the quantum dot fluorescence image after DNA hybridization in a Bragg structure porous silicon device. The experimental results show that the sensitivity of digital image detection improved significantly after denoising. |
| first_indexed | 2024-03-09T21:07:16Z |
| format | Article |
| id | doaj.art-8a5eef8f887a4e179d643434984bf03f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T21:07:16Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-8a5eef8f887a4e179d643434984bf03f2023-11-23T21:58:17ZengMDPI AGSensors1424-82202022-02-01224136610.3390/s22041366Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon BiosensorsYong Liu0Miao Sun1Zhenhong Jia2Jie Yang3Nikola K. Kasabov4College of Information Science and Engineering, Xinjiang University, Urumqi 830046, ChinaSchool of Physical Science and Technology, Xinjiang University, Urumqi 830046, ChinaCollege of Information Science and Engineering, Xinjiang University, Urumqi 830046, ChinaInstitute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200400, ChinaSchool of Engineering, Computing and Mathematical Sciences, Auckland University of Technology, Auckland 1020, New ZealandIn the process of biological detection of porous silicon photonic crystals based on quantum dots, the concentration of target organisms can be indirectly measured via the change in the gray value of the fluorescence emitted from the quantum dots in the porous silicon pores before and after the biological reaction on the surface of the device. However, due to the disordered nanostructures in porous silicon and the roughness of the surface, the fluorescence images on the surface contain noise. This paper analyzes the type of noise and its influence on the gray value of fluorescent images. The change in the gray value caused by noise greatly reduces the detection sensitivity. To reduce the influence of noise on the gray value of quantum dot fluorescence images, this paper proposes a denoising method based on gray compression and nonlocal anisotropic diffusion filtering. We used the proposed method to denoise the quantum dot fluorescence image after DNA hybridization in a Bragg structure porous silicon device. The experimental results show that the sensitivity of digital image detection improved significantly after denoising.https://www.mdpi.com/1424-8220/22/4/1366porous siliconbiosensorquantum dotsimage denoising |
| spellingShingle | Yong Liu Miao Sun Zhenhong Jia Jie Yang Nikola K. Kasabov Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors Sensors porous silicon biosensor quantum dots image denoising |
| title | Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors |
| title_full | Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors |
| title_fullStr | Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors |
| title_full_unstemmed | Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors |
| title_short | Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors |
| title_sort | denoising of fluorescence image on the surface of quantum dot nanoporous silicon biosensors |
| topic | porous silicon biosensor quantum dots image denoising |
| url | https://www.mdpi.com/1424-8220/22/4/1366 |
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