• Advanced Imaging
  • Vol. 1, Issue 3, 032001 (2024)
Hongjun Wu1,2,3, Yalan Zhao1,2,3, Xiao Zhou1,2,3, Tianxiao Wu1,2,3..., Jiaming Qian1,2,3, Shijia Wu1,2,3, Yongtao Liu1,2,3,* and Chao Zuo1,2,3,*|Show fewer author(s)
Author Affiliations
  • 1Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
  • 2Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, China
  • 3Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, China
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    DOI: 10.3788/AI.2024.20004 Cite this Article Set citation alerts
    Hongjun Wu, Yalan Zhao, Xiao Zhou, Tianxiao Wu, Jiaming Qian, Shijia Wu, Yongtao Liu, Chao Zuo, "Super-resolution microscopy reveals new insights into organelle interactions," Adv. Imaging 1, 032001 (2024) Copy Citation Text show less
    The basic principle and application of SMLM. (a) The basic principle of STORM[9]. (b) Optical path and spectral modulation process of traditional STORM. (c) 4Pi-STORM imaging of the neuronal cytoskeleton[11]. (d) The process of image reconstruction based on a deep learning network. (e) Comparison of basal membrane profiles of three different cell types[25]. (f) STORM (left) and wide-field (right) images of microtubules in HepG2 cells labeled with 565 quantum dots (QDs)[10]. (g) 4Pi-STORM imaging of mitochondrial crista in the U-2 OS cell and COS-7 cell, respectively[11].
    Fig. 1. The basic principle and application of SMLM. (a) The basic principle of STORM[9]. (b) Optical path and spectral modulation process of traditional STORM. (c) 4Pi-STORM imaging of the neuronal cytoskeleton[11]. (d) The process of image reconstruction based on a deep learning network. (e) Comparison of basal membrane profiles of three different cell types[25]. (f) STORM (left) and wide-field (right) images of microtubules in HepG2 cells labeled with 565 quantum dots (QDs)[10]. (g) 4Pi-STORM imaging of mitochondrial crista in the U-2 OS cell and COS-7 cell, respectively[11].
    The basic principle and application of STED. (a) The basic principle of STED[12]. (b) Optical path and spectral modulation process of two-color STED[27]. (c) Diffusion of Atto647N-DPPE in the membrane of an XTC cell in STED[13]. (d) Immunolabeled Munc13-1 and RIM1 molecules were visualized by STED microscopy at the hMFBs[43]. (e) Diagnostics and understanding disease mechanisms in STED and confocal microscopy[29]. (f) The imaging of microtubules in fixed BSC-1 cells in confocal microscopy, STED, and FM-STED[39].
    Fig. 2. The basic principle and application of STED. (a) The basic principle of STED[12]. (b) Optical path and spectral modulation process of two-color STED[27]. (c) Diffusion of Atto647N-DPPE in the membrane of an XTC cell in STED[13]. (d) Immunolabeled Munc13-1 and RIM1 molecules were visualized by STED microscopy at the hMFBs[43]. (e) Diagnostics and understanding disease mechanisms in STED and confocal microscopy[29]. (f) The imaging of microtubules in fixed BSC-1 cells in confocal microscopy, STED, and FM-STED[39].
    The basic principle and application of SIM. (a) Optical path and spectral modulation process of traditional SIM (linear). (b) Spectral modulation process of SSIM. (c) F-actin protein of COS-7 cells imaged by SSIM and other methods (top left: wide field, top right: deconvolution, bottom left: SIM, bottom right: SSIM)[14]. (d) The structure of mesoplasmic membrane microcapsules in COS-7 cells from different methods (top left: wide field, top right: deconvolution, bottom left: SIM, bottom right: SSIM)[14]. (e) The SSIM image of mesoplasmic membrane microcapsules in live COS-7 cells[14]. (f) The basic principle of 3D-SIM[21]. (g) Imaging results of traditional widefield and 3D-SIM in live HeLa cells[49].
    Fig. 3. The basic principle and application of SIM. (a) Optical path and spectral modulation process of traditional SIM (linear). (b) Spectral modulation process of SSIM. (c) F-actin protein of COS-7 cells imaged by SSIM and other methods (top left: wide field, top right: deconvolution, bottom left: SIM, bottom right: SSIM)[14]. (d) The structure of mesoplasmic membrane microcapsules in COS-7 cells from different methods (top left: wide field, top right: deconvolution, bottom left: SIM, bottom right: SSIM)[14]. (e) The SSIM image of mesoplasmic membrane microcapsules in live COS-7 cells[14]. (f) The basic principle of 3D-SIM[21]. (g) Imaging results of traditional widefield and 3D-SIM in live HeLa cells[49].
    The basic principle and application of MINFLUX. (a) The basic principle of MINFLUX[16]. (b) Optical path and spectral modulation process of 3D MINFLUX[17]. (c) Arrangement of up to nine on-off switchable fluorophores on the origami (top) and the smaller DNA origami structure (bottom)[16]. (d) Single-molecule MINFLUX imaging and precise tracking in live E. coli bacteria[16]. (e) 3D MINFLUX raw data and corresponding information at different dimensions (top) and clathrin visualized by SNAP labeling in HeLa cells (bottom)[17]. (f) Distribution of Mic60 in mitochondria of human U-2OS cells[18]. (g) Two-color 3D MINFLUX acquisition of a mitochondrion in human dermal fibroblasts[18].
    Fig. 4. The basic principle and application of MINFLUX. (a) The basic principle of MINFLUX[16]. (b) Optical path and spectral modulation process of 3D MINFLUX[17]. (c) Arrangement of up to nine on-off switchable fluorophores on the origami (top) and the smaller DNA origami structure (bottom)[16]. (d) Single-molecule MINFLUX imaging and precise tracking in live E. coli bacteria[16]. (e) 3D MINFLUX raw data and corresponding information at different dimensions (top) and clathrin visualized by SNAP labeling in HeLa cells (bottom)[17]. (f) Distribution of Mic60 in mitochondria of human U-2OS cells[18]. (g) Two-color 3D MINFLUX acquisition of a mitochondrion in human dermal fibroblasts[18].
    The properties and interaction of mitochondria and lysosomes. (a) Comparative summed-molecule TIRF, PALM, TEM, and PALM+TEM overlay images of mitochondria in a cryo-prepared thin section from a COS-7 cell expressing dEosFP-tagged cytochrome-C oxidase import sequence[87]. (b) SIM image of lysosome in HeLa cell magnified images from the dashed box at different time points[94]. (c) The movement status of mitochondria at different time points (left) and the whole tubulation retraction process (right) were imaged by STORM[90]. (d) The fusion of two mitochondria[51]. (e) The fission of one mitochondrion (bottom) was imaged by SIM[51].(f) TRPML1 activation preferentially increases mitochondrial calcium at mitochondria (red)-lysosome green contacts[101]. (g) The behavior of autophagy after the treatment of the antimicrobial drug (autophagy marker protein LC3 and p63)[97]. (h) Dual-color SIM images of dynamic physical interactions between lysosomes and mitochondria in live U2OS cells (Atto 647 N-magenta, Lysosome-565-green[99]. (i) Determination of co-localization of mitochondria with lysosomes after serum starvation[99].
    Fig. 5. The properties and interaction of mitochondria and lysosomes. (a) Comparative summed-molecule TIRF, PALM, TEM, and PALM+TEM overlay images of mitochondria in a cryo-prepared thin section from a COS-7 cell expressing dEosFP-tagged cytochrome-C oxidase import sequence[87]. (b) SIM image of lysosome in HeLa cell magnified images from the dashed box at different time points[94]. (c) The movement status of mitochondria at different time points (left) and the whole tubulation retraction process (right) were imaged by STORM[90]. (d) The fusion of two mitochondria[51]. (e) The fission of one mitochondrion (bottom) was imaged by SIM[51].(f) TRPML1 activation preferentially increases mitochondrial calcium at mitochondria (red)-lysosome green contacts[101]. (g) The behavior of autophagy after the treatment of the antimicrobial drug (autophagy marker protein LC3 and p63)[97]. (h) Dual-color SIM images of dynamic physical interactions between lysosomes and mitochondria in live U2OS cells (Atto 647 N-magenta, Lysosome-565-green[99]. (i) Determination of co-localization of mitochondria with lysosomes after serum starvation[99].
    The properties and interaction of mitochondria and endoplasmic reticulum. (a) The diameter of ER tubules labeled with SNAP-Sec61β was imaged. The spatial distribution of endoplasmic reticulum changes with the fluidity of live cells by STED[104]. (b) ER distribution changes during autophagy in U2OS cells[107]. (c) The morphological change of mitochondria during the process of autophagy[109]. (d) The morphological change of ER in live Hela cells was monitored by dSTORM under stress conditions[105]. (e) MDT at ER (magenta)–mitochondria (green) contacts were imaged by SIM[89]. (f) Two-color STED time-lapse imaging of ER-mitochondria interaction within a neurite[108].
    Fig. 6. The properties and interaction of mitochondria and endoplasmic reticulum. (a) The diameter of ER tubules labeled with SNAP-Sec61β was imaged. The spatial distribution of endoplasmic reticulum changes with the fluidity of live cells by STED[104]. (b) ER distribution changes during autophagy in U2OS cells[107]. (c) The morphological change of mitochondria during the process of autophagy[109]. (d) The morphological change of ER in live Hela cells was monitored by dSTORM under stress conditions[105]. (e) MDT at ER (magenta)–mitochondria (green) contacts were imaged by SIM[89]. (f) Two-color STED time-lapse imaging of ER-mitochondria interaction within a neurite[108].
    The properties and interaction of the mitochondria and nucleus. (a) Representative confocal images of mito-STAR protein in HeLa and INS-1 cells[118]. (b) Two-color 4Pi microscopy images of PML and SUMO proteins[116]. (c) 3D tomography of interaction sites for Imp β1 in the NPCs (gray) of live cells[112]. (d) Dynamic tracking of the mitochondria (red)–nucleus (blue) migration via STED[120]. (e) TSPO regulates the stress ability of cells by changing the MCS between the mitochondria and nucleus[2]. (f) Two-color DE-STED imaging results from the same fixed U2OS cell including the nuclear membrane (green) and microtubules (red)[27].
    Fig. 7. The properties and interaction of the mitochondria and nucleus. (a) Representative confocal images of mito-STAR protein in HeLa and INS-1 cells[118]. (b) Two-color 4Pi microscopy images of PML and SUMO proteins[116]. (c) 3D tomography of interaction sites for Imp β1 in the NPCs (gray) of live cells[112]. (d) Dynamic tracking of the mitochondria (red)–nucleus (blue) migration via STED[120]. (e) TSPO regulates the stress ability of cells by changing the MCS between the mitochondria and nucleus[2]. (f) Two-color DE-STED imaging results from the same fixed U2OS cell including the nuclear membrane (green) and microtubules (red)[27].
    The properties and interaction of the endoplasmic reticulum and Golgi apparatus. (a) Confocal and STED images of the Golgi[121]. (b) Complex stacked architecture of the Golgi apparatus by the 4Pi single-molecule switched super-resolution microscope[91]. (c) The distribution of MICAL-L1/TGN46, MICAL-L1/ GM130, and MICAL-L1/TfR colocalization was evaluated by STORM[125]. (d) Cargo (green) is transported from cis-Golgi (red) to TGN (blue) while being maintained in a maturing cisterna[122]. (e) 4D images of the Golgi apparatus, TGN, and secretory trafficking zone component clathrin in the epidermal cell of the root elongation zone under SCLIM[125].
    Fig. 8. The properties and interaction of the endoplasmic reticulum and Golgi apparatus. (a) Confocal and STED images of the Golgi[121]. (b) Complex stacked architecture of the Golgi apparatus by the 4Pi single-molecule switched super-resolution microscope[91]. (c) The distribution of MICAL-L1/TGN46, MICAL-L1/ GM130, and MICAL-L1/TfR colocalization was evaluated by STORM[125]. (d) Cargo (green) is transported from cis-Golgi (red) to TGN (blue) while being maintained in a maturing cisterna[122]. (e) 4D images of the Golgi apparatus, TGN, and secretory trafficking zone component clathrin in the epidermal cell of the root elongation zone under SCLIM[125].
    The properties and interaction of membraneless organelles. (a) Super-resolution 3D-SIM imaging of nucleolar organization[134]. (b) The super-resolution imaging of centriole distal by dual-channel dSTORM[128]. (c) The biological communication of the cytoplasm by the NPC[132]. (d) SIM-TIRF time-lapse of the self-assembling process of the centrosome in vitro[127]. (e) 3D and 2D dSTORM images of U-ExM expanded and re-embedded chlamydomonas centrioles[127].
    Fig. 9. The properties and interaction of membraneless organelles. (a) Super-resolution 3D-SIM imaging of nucleolar organization[134]. (b) The super-resolution imaging of centriole distal by dual-channel dSTORM[128]. (c) The biological communication of the cytoplasm by the NPC[132]. (d) SIM-TIRF time-lapse of the self-assembling process of the centrosome in vitro[127]. (e) 3D and 2D dSTORM images of U-ExM expanded and re-embedded chlamydomonas centrioles[127].
    FLSRPALM/STORMSTEDSIMMINFLUX
    SpeedThousands of exposuresPoint scanningFull-field imaging10 kHz
    Energy (W/cm2)∼103∼107∼102∼1
    Temporal resolution (ms)1.2 × 106–1.8 × 106501–1000.1
    XY resolution (nm)2030–5065–1002–5
    Z resolution (nm)50702502–3
    Fluorescent moleculesPhotoswitchableFreeFreePhotoswitchable
    Live cell imagingYesYesYesYes
    Depth (μm)0.2120201
    Image reconstructionRequiredNot requiredRequiredRequired
    Table 1. System Parameters of Different Techniques.
    Hongjun Wu, Yalan Zhao, Xiao Zhou, Tianxiao Wu, Jiaming Qian, Shijia Wu, Yongtao Liu, Chao Zuo, "Super-resolution microscopy reveals new insights into organelle interactions," Adv. Imaging 1, 032001 (2024)
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