title: QSIM: quantitative structured illumination microscopy image processing in ImageJ.
abstract: 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.
  
  
  METHODS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Department of Biomedical Engineering, Washington University, St, Louis, MO 63139, USA. gaol@wustl.edu.
authors.forename: Liang
authors.initials: L
authors.lastname: Gao
mesh_terms: D000465:Algorithms; D000818:Animals; D002138:Calibration; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007668:Kidney / Q000166:cytology; D051379:Mice; D008853:Microscopy / Q000379:methods*; D012984:Software; D014584:User-Computer Interface