Literature DB >> 31237354

A Confocal Reflection Super-Resolution Technique to Image Golgi-Cox Stained Neurons.

Mayandi Sivaguru1,2, Yee Ming Khaw3,4, Makoto Inoue3,4.   

Abstract

Metal-based Golgi-Cox (GC) staining is an established method used to visualise neurons with great morphological detail. Although GC stained samples are imaged routinely under transmitted light microscopy, this method is unable to yield information on the three-dimensional structure of dendrites and neurons and thus help reveal the connective properties of the central nervous system. Although a few studies have attempted simultaneous visualisation of GC staining and antigen-specific fluorescent labelling under a confocal reflection technique, the resolution of both confocal reflection and fluorescence modalities used to acquire GC reflection and fluorescently stained antibody signals are still limited by the diffraction limit of light at about 220 nm. Here, we report a confocal reflection super-resolution technique (CRSR) to break this diffraction barrier, which is achieved by minimising the pinhole size from 1 airy unit (AU) to 0.1 AU. This is achieved by minimising or closing the confocal pinhole size and is possible in this reflection modality, unlike fluorescence, because it is not a photon limited technique. Utilising the lowest wavelength of light available in the system (405 nm), the CRSR technique results in ∼30% lateral and axial resolution improvement. We also show that the CRSR technique can be used in conjunction to visualise both GC and immunofluorescence targets to create precise and improved three-dimensional visualisation and analysis. In addition, using these superresolution confocal reflection data sets from GC in CRSR mode significantly reduced the data overestimation, improving the accuracy of statistical analysis of dendritic spine density and average spine dimensions. Combining the 0.1 AU setting with deconvolution routines, the signal-to-noise ratio and resolution could further be improved an additional ∼20-25%, yielding CRSR images with resolutions up to 2-fold over the diffraction limit both laterally and axially. The improved precision of both visualisation and quantification of subdiffraction limited dendritic spines using the CRSR technique may prove to be critical in investigations that concern changes in detailed neuron morphology under central nervous system disease conditions such as multiple sclerosis and Alzheimer's disease. LAY DESCRIPTION: For over a century, Golgi-Cox (GC) has been a leading staining technique in the field of neuroscience, used to visualise neurons with great morphological detail. GC stained brain or spinal cord samples are conventionally visualised under transmitted light techniques. This limits the view of Golgi-staining to a two-dimensional image. A recent report showed that Golgi staining can be visualised in three-dimensions using the reflection modality of the confocal microscope. This visualisation also allows for the simultaneous acquisition of immunofluorescence signals. However, the reported resolution of Golgi staining confocal reflection is limited by the diffraction limit of light, which is around 220 nm. Here, we report a superresolution confocal reflection technique (CRSR) that achieves superresolution by minimising the pinhole size used in confocal microscopy. The CRSR technique results in ∼30% lateral and axial resolution improvement. Adding a deconvolution step in the final processing could improve the SNR and resolution even further up to 2-fold improvement in resolution over the diffraction limit both laterally and axially. We hope that this improved visualisation will help in investigations that concern changes in detailed neuron morphology under central nervous system disease conditions such as multiple sclerosis and Alzheimer's disease.
© 2019 The Authors Journal of Microscopy © 2019 Royal Microscopical Society.

Entities:  

Keywords:  3D neuron visualisation; Confocal reflection superresolution; Golgi-Cox; dendritic spine quantification; neuron filament tracing

Mesh:

Substances:

Year:  2019        PMID: 31237354      PMCID: PMC7243675          DOI: 10.1111/jmi.12821

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  41 in total

1.  Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy.

Authors:  M G Gustafsson
Journal:  J Microsc       Date:  2000-05       Impact factor: 1.758

2.  Reflection contrast microscopy: The bridge between light and electron microscopy.

Authors:  F A Prins; I Cornelese-ten Velde; E de Heer
Journal:  Methods Mol Biol       Date:  2006

3.  Acceleration of iterative image restoration algorithms.

Authors:  D S Biggs; M Andrews
Journal:  Appl Opt       Date:  1997-03-10       Impact factor: 1.980

4.  A novel, modernized Golgi-Cox stain optimized for CLARITY cleared tissue.

Authors:  Mustafa S Kassem; Sandra Y Y Fok; Kristie L Smith; Michael Kuligowski; Bernard W Balleine
Journal:  J Neurosci Methods       Date:  2017-11-15       Impact factor: 2.390

5.  Editorial preface to special issue.

Authors:  Mayandi Sivaguru
Journal:  Microsc Res Tech       Date:  2017-11-27       Impact factor: 2.769

Review 6.  An introduction to optical super-resolution microscopy for the adventurous biologist.

Authors:  J Vangindertael; R Camacho; W Sempels; H Mizuno; P Dedecker; K P F Janssen
Journal:  Methods Appl Fluoresc       Date:  2018-03-16       Impact factor: 3.009

7.  Extracellular ATP in plants. Visualization, localization, and analysis of physiological significance in growth and signaling.

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Journal:  Plant Physiol       Date:  2006-09-08       Impact factor: 8.340

Review 8.  Methods of dendritic spine detection: from Golgi to high-resolution optical imaging.

Authors:  J J Mancuso; Y Chen; X Li; Z Xue; S T C Wong
Journal:  Neuroscience       Date:  2012-04-20       Impact factor: 3.590

9.  Application of an advanced maximum likelihood estimation restoration method for enhanced-resolution and contrast in second-harmonic generation microscopy.

Authors:  Mayandi Sivaguru; Mohammad M Kabir; Manas Ranjan Gartia; David S C Biggs; Barghav S Sivaguru; Vignesh A Sivaguru; Glenn A Fried; Gang Logan Liu; Sakthivel Sadayappan; Kimani C Toussaint
Journal:  J Microsc       Date:  2017-06-08       Impact factor: 1.758

10.  Automated 4D analysis of dendritic spine morphology: applications to stimulus-induced spine remodeling and pharmacological rescue in a disease model.

Authors:  Sharon A Swanger; Xiaodi Yao; Christina Gross; Gary J Bassell
Journal:  Mol Brain       Date:  2011-10-07       Impact factor: 4.041

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Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-23       Impact factor: 11.205

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Review 3.  Human kidney stones: a natural record of universal biomineralization.

Authors:  Mayandi Sivaguru; Jessica J Saw; Elena M Wilson; John C Lieske; Amy E Krambeck; James C Williams; Michael F Romero; Kyle W Fouke; Matthew W Curtis; Jamie L Kear-Scott; Nicholas Chia; Bruce W Fouke
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4.  Neutrophil-selective deletion of Cxcr2 protects against CNS neurodegeneration in a mouse model of multiple sclerosis.

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Journal:  J Neuroinflammation       Date:  2020-02-04       Impact factor: 8.322

5.  Early-life-trauma triggers interferon-β resistance and neurodegeneration in a multiple sclerosis model via downregulated β1-adrenergic signaling.

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6.  Expansion-Based Clearing of Golgi-Cox-Stained Tissue for Multi-Scale Imaging.

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7.  Quantitative Analyses of Foot Processes, Mitochondria, and Basement Membranes by Structured Illumination Microscopy Using Elastica-Masson- and Periodic-Acid-Schiff-Stained Kidney Sections.

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