Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors

Yong Liu, Miao Sun, Zhenhong Jia, Jie Yang, Nikola K. Kasabov

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
41 Downloads (Pure)


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.

Original languageEnglish
Article number1366
Pages (from-to)1-18
Number of pages18
Issue number4
Publication statusPublished (in print/issue) - 10 Feb 2022

Bibliographical note

Funding Information:
Funding: This research was funded by the National Key R&D Program of China, Grant Number 2019YFC1606100.

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.


  • Biosensor
  • Image denoising
  • Porous silicon
  • Quantum dots


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