Quantitative sectioning and noise analysis for structured illumination microscopy

被引:45
|
作者
Hagen, Nathan [1 ]
Gao, Liang [1 ]
Tkaczyk, Tomasz S. [1 ]
机构
[1] Rice Univ, Dept Bioengn, Houston, TX 77005 USA
来源
OPTICS EXPRESS | 2012年 / 20卷 / 01期
关键词
FLUORESCENCE MICROSCOPY; RESOLUTION; LIGHT; OPTIMIZATION; PERFORMANCE;
D O I
10.1364/OE.20.000403
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Structured illumination (SI) has long been regarded as a nonquantitative technique for obtaining sectioned microscopic images. Its lack of quantitative results has restricted the use of SI sectioning to qualitative imaging experiments, and has also limited researchers' ability to compare SI against competing sectioning methods such as confocal microscopy. We show how to modify the standard SI sectioning algorithm to make the technique quantitative, and provide formulas for calculating the noise in the sectioned images. The results indicate that, for an illumination source providing the same spatially-integrated photon flux at the object plane, and for the same effective slice thicknesses, SI sectioning can provide higher SNR images than confocal microscopy for an equivalent setup when the modulation contrast exceeds about 0.09. (C) 2011 Optical Society of America
引用
收藏
页码:403 / 413
页数:11
相关论文
共 50 条
  • [41] Blind optical sectioning and super-resolution imaging in multifocal structured illumination microscopy
    Geng, Jinhua
    Yu, Bin
    Zhang, Wei
    Zhu, Jiongguang
    Zhang, Binhui
    Chen, Weihao
    Chen, Sitao
    Qu, Junle
    OPTICS COMMUNICATIONS, 2022, 510
  • [42] Multi-view object topography measurement with optical sectioning structured illumination microscopy
    Ren, Feifei
    Wang, Zhaojun
    Qian, Jia
    Liang, Yansheng
    Dang, Shipei
    Cai, Yanan
    Bianco, Piero R.
    Yao, Baoli
    Lei, Ming
    APPLIED OPTICS, 2019, 58 (23) : 6288 - 6294
  • [43] Structured illumination microscopy with noise-controlled image reconstructions
    Smith, Carlas S.
    Slotman, Johan A.
    Schermelleh, Lothar
    Chakrova, Nadya
    Hari, Sangeetha
    Vos, Yoram
    Hagen, Cornelis W.
    Mueller, Marcel
    van Cappellen, Wiggert
    Houtsmuller, Adriaan B.
    Hoogenboom, Jacob P.
    Stallinga, Sjoerd
    NATURE METHODS, 2021, 18 (07) : 821 - +
  • [44] Structured illumination microscopy with noise-controlled image reconstructions
    Carlas S. Smith
    Johan A. Slotman
    Lothar Schermelleh
    Nadya Chakrova
    Sangeetha Hari
    Yoram Vos
    Cornelis W. Hagen
    Marcel Müller
    Wiggert van Cappellen
    Adriaan B. Houtsmuller
    Jacob P. Hoogenboom
    Sjoerd Stallinga
    Nature Methods, 2021, 18 : 821 - 828
  • [45] QSIM: quantitative structured illumination microscopy image processing in ImageJ
    Gao, Liang
    BIOMEDICAL ENGINEERING ONLINE, 2015, 14
  • [46] Transmission Structured Illumination Microscopy for Quantitative Phase and Scattering Imaging
    Wen, Kai
    Ma, Ying
    Liu, Min
    Li, Jianlang
    Zalevsky, Zeev
    Zheng, Juanjuan
    FRONTIERS IN PHYSICS, 2021, 8
  • [47] Aberrations in Structured Illumination Microscopy: A Theoretical Analysis
    Liu, Xin
    Tu, Shijie
    Xu, Yan
    Song, Hongya
    Liu, Wenjie
    Liu, Qiulan
    Kuang, Cuifang
    Liu, Xu
    Hao, Xiang
    FRONTIERS IN PHYSICS, 2020, 7
  • [48] QSIM: quantitative structured illumination microscopy image processing in ImageJ
    Liang Gao
    BioMedical Engineering OnLine, 14
  • [49] Structured illumination microscopy
    Saxena, Manish
    Eluru, Gangadhar
    Gorthi, Sai Siva
    ADVANCES IN OPTICS AND PHOTONICS, 2015, 7 (02): : 241 - 275
  • [50] Double-Exposure Optical Sectioning Structured Illumination Microscopy Based on Hilbert Transform Reconstruction
    Zhou, Xing
    Lei, Ming
    Dan, Dan
    Yao, Baoli
    Qian, Jia
    Yan, Shaohui
    Yang, Yanlong
    Min, Junwei
    Peng, Tong
    Ye, Tong
    Chen, Guangde
    PLOS ONE, 2015, 10 (03):