Gao Liang
Department of Biomedical Engineering, Washington University, St, Louis, MO 63139, USA.
Biomed Eng Online. 2015 Jan 14;14:4. doi: 10.1186/1475-925X-14-4.
Structured illumination microscopy has been extensively used in biological imaging due to its low cost and easy implementation. However, the lack of quantitative imaging capability limits its application in absolute irradiance measurements.
We have developed a quantitative structured illumination microscopy image processing algorithm (QSIM) as a plugin for the widely used ImageJ software. QSIM can work with the raw images acquired by a traditional structured illumination microscope and can quantitatively measure photon numbers, with noise estimates for both wide-field images and sectioned images.
We demonstrated the quantitative image processing capability of QSIM by imaging a mouse kidney section in 3D. The results show that QSIM can transform structured illumination microscopy from qualitative to quantitative, which is essential for demanding fluorescence imaging applications.
结构照明显微镜因其成本低且易于实施,已在生物成像中得到广泛应用。然而,缺乏定量成像能力限制了其在绝对辐照度测量中的应用。
我们开发了一种定量结构照明显微镜图像处理算法(QSIM),作为广泛使用的ImageJ软件的插件。QSIM可以处理传统结构照明显微镜采集的原始图像,并能定量测量光子数,同时对宽视野图像和切片图像进行噪声估计。
我们通过对小鼠肾脏切片进行三维成像,展示了QSIM的定量图像处理能力。结果表明,QSIM可以将结构照明显微镜从定性转变为定量,这对于要求苛刻的荧光成像应用至关重要。