scholarly journals Superresolution microscopy of the β-carboxysome reveals a homogeneous matrix

2017 ◽  
Vol 28 (20) ◽  
pp. 2734-2745 ◽  
Author(s):  
Matthew J. Niederhuber ◽  
Talley J. Lambert ◽  
Clarence Yapp ◽  
Pamela A. Silver ◽  
Jessica K. Polka
Keyword(s):  
Carbon Fixation ◽  
Three Dimensional ◽  
Population Level ◽  
Automated Analysis ◽  
Time Lapse ◽  
Wide Field ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Bisphosphate Carboxylase ◽  
Shell Protein

Carbon fixation in cyanobacteria makes a major contribution to the global carbon cycle. The cyanobacterial carboxysome is a proteinaceous microcompartment that protects and concentrates the carbon-fixing enzyme ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) in a paracrystalline lattice, making it possible for these organisms to fix CO2 from the atmosphere. The protein responsible for the organization of this lattice in beta-type carboxysomes of the freshwater cyanobacterium Synechococcus elongatus, CcmM, occurs in two isoforms thought to localize differentially within the carboxysome matrix. Here we use wide-field time-lapse and three-dimensional structured illumination microscopy (3D-SIM) to study the recruitment and localization of these two isoforms. We demonstrate that this superresolution technique is capable of distinguishing the localizations of the outer protein shell of the carboxysome and its internal cargo. We develop an automated analysis pipeline to analyze and quantify 3D-SIM images and generate a population-level description of the carboxysome shell protein, RuBisCO, and CcmM isoform localization. We find that both CcmM isoforms have similar spatial and temporal localization, prompting a revised model of the internal arrangement of the β-carboxysome.

scholarly journals Super-resolution microscopy of the ß-carboxysome reveals a homogenous matrix

2016 ◽  
Author(s):  
Matthew J. Niederhuber ◽  
Talley J. Lambert ◽  
Clarence Yapp ◽  
Pamela A. Silver ◽  
Jessica K. Polka
Keyword(s):  
Carbon Fixation ◽  
Super Resolution ◽  
Population Level ◽  
Automated Analysis ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Shell Protein ◽  
Internal Arrangement ◽  
Super Resolution Microscopy ◽  
Global Carbon

AbstractCarbon fixation in cyanobacteria makes a major contribution to the global carbon cycle. The cyanobacterial carboxysome is a proteinaceous microcompartment that protects and concentrates the carbon-fixing enzyme RuBisCO in a paracrystalline lattice, making it possible for these organisms to fix CO2 from the atmosphere. The protein responsible for the organization of this lattice in beta-type carboxysomes of the freshwater cyanobacterium Synechococcus elongatus, CcmM, occurs in two isoforms thought to localize differentially within the carboxysome matrix. Here we use widefield timelapse and 3D-structured illumination microscopy (3D-SIM) to study the recruitment and localization of these two isoforms. We demonstrate that this super-resolution technique is capable of successfully resolving the outer protein shell of the carboxysome from its internal cargo. We develop an automated analysis pipeline to analyze and quantify 3D-SIM images and generate a population level description of carboxysome shell protein, RuBisCO, and CcmM isoform localization. We find that both CcmM isoforms colocalize in space and time, prompting a revised model of the internal arrangement of the beta carboxysome.

scholarly journals Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes

2020 ◽  
Author(s):  
Jiji Chen ◽  
Hideki Sasaki ◽  
Hoyin Lai ◽  
Yijun Su ◽  
Jiamin Liu ◽  
...  
Keyword(s):  
Fluorescence Microscopy ◽  
Network Performance ◽  
Resolution Enhancement ◽  
Three Dimensional ◽  
Ground Truth ◽  
Time Lapse ◽  
Stimulated Emission ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Attention Networks

Abstract We demonstrate residual channel attention networks (RCAN) for restoring and enhancing volumetric time-lapse (4D) fluorescence microscopy data. First, we modify RCAN to handle image volumes, showing that our network enables denoising competitive with three other state-of-the-art neural networks. We use RCAN to restore noisy 4D super-resolution data, enabling image capture over tens of thousands of images (thousands of volumes) without apparent photobleaching. Second, using simulations we show that RCAN enables class-leading resolution enhancement, superior to other networks. Third, we exploit RCAN for denoising and resolution improvement in confocal microscopy, enabling ~2.5-fold lateral resolution enhancement using stimulated emission depletion (STED) microscopy ground truth. Fourth, we develop methods to improve spatial resolution in structured illumination microscopy using expansion microscopy ground truth, achieving improvements of ~1.4-fold laterally and ~3.4-fold axially. Finally, we characterize the limits of denoising and resolution enhancement, suggesting practical benchmarks for evaluating and further enhancing network performance.

Generation and Control of Wide-Field Three-Dimensional Structured Illumination for Advanced Microscopic Imaging

2012 ◽  
Vol 516 ◽  
pp. 640-644
Author(s):  
Shin Usuki ◽  
Hiroyoshi Kanaka ◽  
Kenjiro Takai Miura
Keyword(s):  
Three Dimensional ◽  
Fluorescent Imaging ◽  
Wide Field ◽  
Structured Illumination ◽  
Axial Resolution ◽  
Structured Illumination Microscopy ◽  
Spatial Control ◽  
Microscopic Imaging ◽  
Point Spread ◽  
Resolution Improvement

In a variety of practical microscopic imaging applications, many industries require not only lateral resolution improvement but also axial resolution improvement. The resolution in optical microscopy is limited by diffraction and determined by the wavelength of the incident light and the numerical aperture (NA) of the objective lens. The diffraction limit is mathematically described by a point spread function in the imaging system, and three-dimensional (3D) point spread functions describe both the lateral and axial resolutions. Thus, it is useful to focus on exceeding this limit and improving the resolution of optical imaging by the spatial control of structured illumination. Structured illumination microscopy is a familiar technique to improve resolution in fluorescent imaging, and it is expected to be applied to industrial applications. Microscopic imaging is convenient, non-destructive, and has a high-throughput performance and compatibility with a number of applications. However, the spatial resolution of conventional light microscopy is limited to wavelength scale and the depth of field is shallow; hence, it is difficult to obtain detailed 3D spatial data of the object to be measured. Here, we propose a new technique for generating and controlling wide-field 3D structured illumination. The technique, based on the 3D interference of multiple laser beams, provides lateral and axial resolution improvement, and a wide 3D field of view. The spatial configuration of the beams was theoretically examined and the optimal incident angle of the multiple beams was confirmed. Numerical simulations using the finite difference time domain (FDTD) method were carried out and confirmed the generation of 3D structured illumination and spatial control of the illumination by using the phase shift of incident beams.

scholarly journals Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes

2020 ◽  
Author(s):  
Jiji Chen ◽  
Hideki Sasaki ◽  
Hoyin Lai ◽  
Yijun Su ◽  
Jiamin Liu ◽  
...  
Keyword(s):  
Fluorescence Microscopy ◽  
Network Performance ◽  
Resolution Enhancement ◽  
Three Dimensional ◽  
Ground Truth ◽  
Time Lapse ◽  
Stimulated Emission ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Attention Networks

AbstractWe demonstrate residual channel attention networks (RCAN) for restoring and enhancing volumetric time-lapse (4D) fluorescence microscopy data. First, we modify RCAN to handle image volumes, showing that our network enables denoising competitive with three other state-of-the-art neural networks. We use RCAN to restore noisy 4D super-resolution data, enabling image capture over tens of thousands of images (thousands of volumes) without apparent photobleaching. Second, using simulations we show that RCAN enables class-leading resolution enhancement, superior to other networks. Third, we exploit RCAN for denoising and resolution improvement in confocal microscopy, enabling ∼2.5-fold lateral resolution enhancement using stimulated emission depletion (STED) microscopy ground truth. Fourth, we develop methods to improve spatial resolution in structured illumination microscopy using expansion microscopy ground truth, achieving improvements of ∼1.4-fold laterally and ∼3.4-fold axially. Finally, we characterize the limits of denoising and resolution enhancement, suggesting practical benchmarks for evaluating and further enhancing network performance.

scholarly journals Multi-color imaging of sub-mitochondrial structures in living cells using structured illumination microscopy

Nanophotonics ◽  
2018 ◽  
Vol 7 (5) ◽  
pp. 935-947 ◽  
Author(s):  
Ida S. Opstad ◽  
Deanna L. Wolfson ◽  
Cristina I. Øie ◽  
Balpreet S. Ahluwalia
Keyword(s):  
Optical Imaging ◽  
Mitochondrial Dynamics ◽  
Imaging Techniques ◽  
Three Dimensional ◽  
Time Lapse ◽  
Living Cells ◽  
Intermembrane Space ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Microscopy Techniques

AbstractThe dimensions of mitochondria are close to the diffraction limit of conventional light microscopy techniques, making the complex internal structures of mitochondria unresolvable. In recent years, new fluorescence-based optical imaging techniques have emerged, which allow for optical imaging below the conventional limit, enabling super-resolution (SR). Possibly the most promising SR and diffraction-limited microscopy techniques for live-cell imaging are structured illumination microscopy (SIM) and deconvolution microscopy (DV), respectively. Both SIM and DV are widefield techniques and therefore provide fast-imaging speed as compared to scanning based microscopy techniques. We have exploited the capabilities of three-dimensional (3D) SIM and 3D DV to investigate different sub-mitochondrial structures in living cells: the outer membrane, the intermembrane space, and the matrix. Using different mitochondrial probes, each of these sub-structures was first investigated individually and then in combination. We describe the challenges associated with simultaneous labeling and SR imaging and the optimized labeling protocol and imaging conditions to obtain simultaneous three-color SR imaging of multiple mitochondrial regions in living cells. To investigate both mitochondrial dynamics and structural details in the same cell, the combined usage of DV for long-term time-lapse imaging and 3D SIM for detailed, selected time point analysis was a useful strategy.

scholarly journals Comparison of Two- and Three-Beam Interference Pattern Generation in Structured Illumination Microscopy

Photonics ◽  
2021 ◽  
Vol 8 (12) ◽  
pp. 526
Author(s):  
Jiuling Liao ◽  
Lina Liu ◽  
Tingai Chen ◽  
Xianyuan Xia ◽  
Hui Li ◽  
...  
Keyword(s):  
Fringe Pattern ◽  
Three Dimensional ◽  
Pattern Generation ◽  
Wide Field ◽  
Structured Illumination ◽  
Optical Sectioning ◽  
Structured Illumination Microscopy ◽  
Imaging Results ◽  
Dynamic Target ◽  
Beam Patterns

Structured illumination microscopy (SIM) provides wide-field optical sectioning in the focal plane by modulating the imaging information using fringe pattern illumination. For generating the fringe pattern illumination, a digital micro-mirror device (DMD) is commonly used due to its flexibility and fast refresh rate. However, the benefit of different pattern generation, for example, the two-beam interference mode and the three-beam interference mode, has not been clearly investigated. In this study, we systematically analyze the optical sectioning provided by the two-beam inference mode and the three-beam interference mode of DMD. The theoretical analysis and imaging results show that the two-beam interference mode is suitable for fast imaging of the superficial dynamic target due to reduced number of phase shifts needed to form the image, and the three-beam interference mode is ideal for imaging three-dimensional volume due to its superior optical sectioning by the improved modulation of the illumination patterns. These results, we believe, will provide better guidance for the use of DMD for SIM imaging and also for the choice of beam patterns in SIM application in the future.

scholarly journals Linear elements are stable structures along the chromosome axis in fission yeast meiosis

Chromosoma ◽  
2021 ◽  
Author(s):  
Da-Qiao Ding ◽  
Atsushi Matsuda ◽  
Kasumi Okamasa ◽  
Yasushi Hiraoka
Keyword(s):  
Fission Yeast ◽  
Strand Break ◽  
Wide Field ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Meiotic Chromosomes ◽  
Linear Elements ◽  
Yeast Meiosis ◽  
Chromosome Axis ◽  
Stable Structures

AbstractThe structure of chromosomes dramatically changes upon entering meiosis to ensure the successful progression of meiosis-specific events. During this process, a multilayer proteinaceous structure called a synaptonemal complex (SC) is formed in many eukaryotes. However, in the fission yeast Schizosaccharomyces pombe, linear elements (LinEs), which are structures related to axial elements of the SC, form on the meiotic cohesin-based chromosome axis. The structure of LinEs has been observed using silver-stained electron micrographs or in immunofluorescence-stained spread nuclei. However, the fine structure of LinEs and their dynamics in intact living cells remain to be elucidated. In this study, we performed live cell imaging with wide-field fluorescence microscopy as well as 3D structured illumination microscopy (3D-SIM) of the core components of LinEs (Rec10, Rec25, Rec27, Mug20) and a linE-binding protein Hop1. We found that LinEs form along the chromosome axis and elongate during meiotic prophase. 3D-SIM microscopy revealed that Rec10 localized to meiotic chromosomes in the absence of other LinE proteins, but shaped into LinEs only in the presence of all three other components, the Rec25, Rec27, and Mug20. Elongation of LinEs was impaired in double-strand break-defective rec12− cells. The structure of LinEs persisted after treatment with 1,6-hexanediol and showed slow fluorescence recovery from photobleaching. These results indicate that LinEs are stable structures resembling axial elements of the SC.

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