• Laser & Optoelectronics Progress
  • Vol. 56, Issue 24, 240002 (2019)
Yun Fu*, Tianle Wang, and Sen Zhao
Author Affiliations
  • School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China
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    DOI: 10.3788/LOP56.240002 Cite this Article Set citation alerts
    Yun Fu, Tianle Wang, Sen Zhao. Imaging Principles and Applications of Super-Resolution Optical Microscopy[J]. Laser & Optoelectronics Progress, 2019, 56(24): 240002 Copy Citation Text show less
    Principle of stochastic optical reconstruction microscopy (STORM), photoactivated localization microscopy (PALM), and fluorescence photoactivation localization microscopy (FPALM)[13]. (a) Target structure; (b) localization of activated probes; (c) super-resolution image
    Fig. 1. Principle of stochastic optical reconstruction microscopy (STORM), photoactivated localization microscopy (PALM), and fluorescence photoactivation localization microscopy (FPALM)[13]. (a) Target structure; (b) localization of activated probes; (c) super-resolution image
    Basic principle of STED microscopy[15]. (A is simplified Jablonski diagram describing the energy transitions of green fluorescent protein (GFP) during a fluorescence cycle;B is spatial restriction of fluorescence emission using doughnut shaped STED PSF; C is design of a home-built STED microscope for performing two-color super-resolution imaging of green and yellow emitting probes in living brain slices)
    Fig. 2. Basic principle of STED microscopy[15]. (A is simplified Jablonski diagram describing the energy transitions of green fluorescent protein (GFP) during a fluorescence cycle;B is spatial restriction of fluorescence emission using doughnut shaped STED PSF; C is design of a home-built STED microscope for performing two-color super-resolution imaging of green and yellow emitting probes in living brain slices)
    Principle of SIM [22]. (a) Raw image; (b) reconstructed image
    Fig. 3. Principle of SIM [22]. (a) Raw image; (b) reconstructed image
    Principle of resolution enhancement of SIM[24]. (a) Sample with detail features; (b) structured illumination pattern; (c) Moire' fringes formed by superposing structured illumination pattern in Fig. 4(b) with sample in Fig. 4(a); (d) Fourier space representation of SIM
    Fig. 4. Principle of resolution enhancement of SIM[24]. (a) Sample with detail features; (b) structured illumination pattern; (c) Moire' fringes formed by superposing structured illumination pattern in Fig. 4(b) with sample in Fig. 4(a); (d) Fourier space representation of SIM
    STORM super-resolution reconstruction images of Hela cells[92]. (a) Wide-field fluorescence image; (b) reconstruction image; (c) locally enlarged image
    Fig. 5. STORM super-resolution reconstruction images of Hela cells[92]. (a) Wide-field fluorescence image; (b) reconstruction image; (c) locally enlarged image
    Yun Fu, Tianle Wang, Sen Zhao. Imaging Principles and Applications of Super-Resolution Optical Microscopy[J]. Laser & Optoelectronics Progress, 2019, 56(24): 240002
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