Literature DB >> 17606383

Stereology meets electron tomography: towards quantitative 3D electron microscopy.

Dimitri Vanhecke1, Daniel Studer, Matthias Ochs.   

Abstract

Stereological tools are the gold standard for accurate (i.e., unbiased) and precise quantification of any microscopic sample. The past decades have provided a broad spectrum of tools to estimate a variety of parameters such as volumes, surfaces, lengths, and numbers. Some of them require pairs of parallel sections that can be produced by either physical or optical sectioning, with optical sectioning being much more efficient when applicable. Unfortunately, transmission electron microscopy could not fully profit from these riches, mainly because of the large depth of field. Hence, optical sectioning was a long-time desire for electron microscopists. This desire was fulfilled with the development of electron tomography that yield stacks of slices from electron microscopic sections. Now, parallel optical slices of a previously unimagined small thickness (2-5 nm axial resolution) can be produced. These optical slices minimize problems related to overprojection effects, and allow for direct stereological analysis, e.g., volume estimation with the Cavalieri principle and number estimation with the optical disector method. Here, we demonstrate that the symbiosis of stereology and electron tomography is an easy and efficient way for quantitative analysis at the electron microscopic level. We call this approach quantitative 3D electron microscopy.

Mesh:

Year:  2007        PMID: 17606383     DOI: 10.1016/j.jsb.2007.05.003

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  15 in total

Review 1.  Mapping the distributions and quantifying the labelling intensities of cell compartments by immunoelectron microscopy: progress towards a coherent set of methods.

Authors:  Terry M Mayhew
Journal:  J Anat       Date:  2011-10-17       Impact factor: 2.610

2.  Quantifying immunogold labelling patterns of cellular compartments when they comprise mixtures of membranes (surface-occupying) and organelles (volume-occupying).

Authors:  Terry M Mayhew; John M Lucocq
Journal:  Histochem Cell Biol       Date:  2008-01-05       Impact factor: 4.304

3.  An official research policy statement of the American Thoracic Society/European Respiratory Society: standards for quantitative assessment of lung structure.

Authors:  Connie C W Hsia; Dallas M Hyde; Matthias Ochs; Ewald R Weibel
Journal:  Am J Respir Crit Care Med       Date:  2010-02-15       Impact factor: 21.405

4.  From gross anatomy to the nanomorphome: stereological tools provide a paradigm for advancing research in quantitative morphomics.

Authors:  Terry M Mayhew; John M Lucocq
Journal:  J Anat       Date:  2015-03-09       Impact factor: 2.610

Review 5.  Using electron microscopes to look into the lung.

Authors:  Matthias Ochs; Lars Knudsen; Jan Hegermann; Christoph Wrede; Roman Grothausmann; Christian Mühlfeld
Journal:  Histochem Cell Biol       Date:  2016-09-29       Impact factor: 4.304

6.  Chapter 2 Correlated light and electron microscopy/electron tomography of mitochondria in situ.

Authors:  Guy A Perkins; Mei G Sun; Terrence G Frey
Journal:  Methods Enzymol       Date:  2009       Impact factor: 1.600

Review 7.  Developments in cell biology for quantitative immunoelectron microscopy based on thin sections: a review.

Authors:  Terry M Mayhew; John M Lucocq
Journal:  Histochem Cell Biol       Date:  2008-06-14       Impact factor: 4.304

Review 8.  Basic quantitative morphological methods applied to the central nervous system.

Authors:  Lutz Slomianka
Journal:  J Comp Neurol       Date:  2020-08-01       Impact factor: 3.215

9.  Visualization and quantitative analysis of nanoparticles in the respiratory tract by transmission electron microscopy.

Authors:  Christian Mühlfeld; Barbara Rothen-Rutishauser; Dimitri Vanhecke; Fabian Blank; Peter Gehr; Matthias Ochs
Journal:  Part Fibre Toxicol       Date:  2007-11-12       Impact factor: 9.400

10.  Stereological and ultrastructural quantification of the afferent synaptome of individual neurons.

Authors:  Pablo Henny; Matthew T C Brown; Benjamin R Micklem; Peter J Magill; J Paul Bolam
Journal:  Brain Struct Funct       Date:  2013-03-12       Impact factor: 3.270

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