ArticleScientific reports2015
Full-color structured illumination optical sectioning microscopy.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 51 citations in OpenAlex.
- Deep learning-assisted low-cost autofluorescence microscopy for rapid slide-free imaging with virtual histological staining.Biomedical optics express · 2024Article
- ML-SIM: universal reconstruction of structured illumination microscopy images using transfer learning.Biomedical optics express · 2021Article
- Full-color optically-sectioned imaging by wide-field microscopy via deep-learning.Biomedical optics express · 2020Article
- Four-dimensional visualization of zebrafish cardiovascular and vessel dynamics by a structured illumination microscope with electrically tunable lens.Biomedical optics express · 2020Article
- Multi-view object topography measurement with optical sectioning structured illumination microscopy.Applied optics · 2019Article
- Structured illumination imaging without grating rotation based on mirror operation on 1D Fourier spectrum.Optics express · 2019Article
- Development of Three-Dimensional Dental Scanning Apparatus Using Structured Illumination.Sensors (Basel, Switzerland) · 2017Article
- Image recombination transform algorithm for superresolution structured illumination microscopy.Journal of biomedical optics · 2016Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In merits of super-resolved resolution and fast speed of three-dimensional (3D) optical sectioning capability, structured illumination microscopy (SIM) has found variety of applications in biomedical imaging. So far, most SIM systems use monochrome CCD or CMOS cameras to acquire images and discard the natural color information of the specimens. Although multicolor integration scheme are employed, multiple excitation sources and detectors are required and the spectral information is limited to a few of wavelengths. Here, we report a new method for full-color SIM with a color digital camera. A data processing algorithm based on HSV (Hue, Saturation, and Value) color space is proposed, in which the recorded color raw images are processed in the Hue, Saturation, Value color channels, and then reconstructed to a 3D image with full color. We demonstrated some 3D optical sectioning results on samples such as mixed pollen grains, insects, micro-chips and the surface of coins. The presented technique is applicable to some circumstance where color information plays crucial roles, such as in materials science and surface morphology.
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