Qian Jia, Lei Ming, Dan Dan, Yao Baoli, Zhou Xing, Yang Yanlong, Yan Shaohui, Min Junwei, Yu Xianghua
State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China.
Sci Rep. 2015 Sep 29;5:14513. doi: 10.1038/srep14513.
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.
由于具有超分辨能力以及三维（3D）光学切片的快速速度等优点，结构照明显微镜（SIM）在生物医学成像领域有多种应用。到目前为止，大多数SIM系统使用单色CCD或CMOS相机来获取图像，从而丢弃了样本的自然颜色信息。尽管采用了多色集成方案，但需要多个激发源和探测器，并且光谱信息仅限于少数几个波长。在此，我们报告一种使用彩色数码相机进行全彩色SIM的新方法。提出了一种基于HSV（色调、饱和度和明度）颜色空间的数据处理算法，其中对记录的彩色原始图像在色调、饱和度、明度颜色通道中进行处理，然后重建为具有全彩色的3D图像。我们展示了在混合花粉粒、昆虫、微芯片和硬币表面等样本上的一些3D光学切片结果。所提出的技术适用于颜色信息起关键作用的某些情况，例如在材料科学和表面形态学中。
