Full-color structured illumination optical sectioning microscopy
Citations Over TimeTop 10% of 2015 papers
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.
Related Papers
- → A real-time color-based object tracking robust to irregular illumination variations(2002)20 cited
- → Contrast compensation for back-lit and front-lit color face images via fuzzy logic classification and image illumination analysis(2008)
- Application of Color Image Segmentation Based-on Color Feature for Robot Soccer Vision(2008)
- Real-Time Color Video Fusion Method Based on Adaptive Registration Parameter Update(2014)
- Color Image Object Tracking System Based on Fuzzy Adaptive Resonance Theory(2004)