Optical pickup unit-based fluorescence microscope with autofocus and deep learning capabilities

An autofocus, cost-effective fluorescence microscope instrument is made using a commercially available Blu-ray disc optical pickup head (OPU). This ABFM consists of the optical path, system control and the operation program. The optical path performs both optical imaging and optical autofocus by using a specially designed dichroscope and the focus error signal (FES) technique integrated in the OPU. Because of the autofocusing function, the fluorescent images captured by ABFM with a resolution of 1.0 µm with a 5X objective lens are obtained. Fluorescence images of human corneal epithelial cell-transformed (HCE-T) cells with fluorophore 4,6-diamino-2-phenyl indole (DAPI) are measured by the ABFM, whose result was comparable to those measured by a Nikon ECLIPSE Ti-S fluorescence microscope and a Leica STELLARIS 5 laser scanning confocal microscope (Leica LSCM). A special deep learning model (Deep Fourier Generative Adversarial Network, DFGAN) was trained to enhance the resolution of the HCE-T, improving the resolution by 21 %. Thus, this ABFM can be used as an alternative to commercial fluorescence microscopes for imaging biological samples in the development of cost-effective, high-performance fluorescence microscopy systems.

Authors

Publication Details

Journal
Biomedical Analysis
Published
2024-09-01
DOI
https://doi.org/10.1016/j.bioana.2024.07.001
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
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Optical pickup unit-based fluorescence microscope with autofocus and deep learning capabilities

Siliang Guo, Lingling Zhang, Xiaochun Li, Yuankai Zhao et al.
Biomedical Analysis
Image Processing Techniques and Applications
article

Optical pickup unit-based fluorescence microscope with autofocus and deep learning capabilities

Siliang Guo, Lingling Zhang, Xiaochun Li, Yuankai Zhao, Xiaolu Ma
article en

Abstract

An autofocus, cost-effective fluorescence microscope instrument is made using a commercially available Blu-ray disc optical pickup head (OPU). This ABFM consists of the optical path, system control and the operation program. The optical path performs both optical imaging and optical autofocus by using a specially designed dichroscope and the focus error signal (FES) technique integrated in the OPU. Because of the autofocusing function, the fluorescent images captured by ABFM with a resolution of 1.0 µm with a 5X objective lens are obtained. Fluorescence images of human corneal epithelial cell-transformed (HCE-T) cells with fluorophore 4,6-diamino-2-phenyl indole (DAPI) are measured by the ABFM, whose result was comparable to those measured by a Nikon ECLIPSE Ti-S fluorescence microscope and a Leica STELLARIS 5 laser scanning confocal microscope (Leica LSCM). A special deep learning model (Deep Fourier Generative Adversarial Network, DFGAN) was trained to enhance the resolution of the HCE-T, improving the resolution by 21 %. Thus, this ABFM can be used as an alternative to commercial fluorescence microscopes for imaging biological samples in the development of cost-effective, high-performance fluorescence microscopy systems.

Biomedical AnalysisVol. 1(3)
Openalex Percentile: Top 76%
Image Processing Techniques and Applications
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