QSIM: quantitative structured illumination microscopy image processing in ImageJ

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• 作者：Liang Gao (5)
  
  5. Department of Biomedical Engineering ; Washington University ; St. Louis ; MO ; 63139 ; USA
  
• 关键词：Structured illumination microscopy ; Quantitative imaging ; 3D imaging ; ImageJ
• 刊名：BioMedical Engineering OnLine
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：14
• 期：1
• 全文大小：2,434 KB
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• 刊物类别：Engineering
• 出版者：BioMed Central
• ISSN：1475-925X

文摘

Background 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. Method 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. Results and conclusion 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.