Literature DB >> 19144544

A review of state-of-the-art stereology for better quantitative 3D morphology in cardiac research.

Christian Mühlfeld1, Jens Randel Nyengaard, Terry M Mayhew.   

Abstract

The aim of stereological methods in biomedical research is to obtain quantitative information about three-dimensional (3D) features of tissues, cells, or organelles from two-dimensional physical or optical sections. With immunogold labeling, stereology can even be used for the quantitative analysis of the distribution of molecules within tissues and cells. Nowadays, a large number of design-based stereological methods offer an efficient quantitative approach to intriguing questions in cardiac research, such as "Is there a significant loss of cardiomyocytes during progression from ventricular hypertrophy to heart failure?" or "Does a specific treatment reduce the degree of fibrosis in the heart?" Nevertheless, the use of stereological methods in cardiac research is rare. The present review article demonstrates how some of the potential pitfalls in quantitative microscopy may be avoided. To this end, we outline the concepts of design-based stereology and illustrate their practical applications to a wide range of biological questions in cardiac research. We hope that the present article will stimulate researchers in cardiac research to incorporate design-based stereology into their study designs, thus promoting an unbiased quantitative 3D microscopy.

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Year:  2009        PMID: 19144544     DOI: 10.1016/j.carpath.2008.10.015

Source DB:  PubMed          Journal:  Cardiovasc Pathol        ISSN: 1054-8807            Impact factor:   2.185


  53 in total

1.  Myocardial remodelling in left ventricular atrophy induced by caloric restriction.

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Journal:  J Anat       Date:  2011-11-13       Impact factor: 2.610

2.  Allometry of left ventricular myocardial innervation.

Authors:  Julia Schipke; Terry M Mayhew; Christian Mühlfeld
Journal:  J Anat       Date:  2013-12-10       Impact factor: 2.610

3.  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

4.  Adaptive growth changes in the liver remnant are affected by the size of hepatectomy in rats.

Authors:  Michelle Meier; Kasper Jarlhelt Andersen; Anders Riegels Knudsen; Jens Randel Nyengaard; Stephen Hamilton-Dutoit; Frank Viborg Mortensen
Journal:  Int J Exp Pathol       Date:  2018-09-10       Impact factor: 1.925

5.  Stereological assessment of mouse lung parenchyma via nondestructive, multiscale micro-CT imaging validated by light microscopic histology.

Authors:  Dragos M Vasilescu; Christine Klinge; Lars Knudsen; Leilei Yin; Ge Wang; Ewald R Weibel; Matthias Ochs; Eric A Hoffman
Journal:  J Appl Physiol (1985)       Date:  2012-12-20

6.  Reconstitution of the myocardium in regenerating newt hearts is preceded by transient deposition of extracellular matrix components.

Authors:  Tanja Piatkowski; Christian Mühlfeld; Thilo Borchardt; Thomas Braun
Journal:  Stem Cells Dev       Date:  2013-04-05       Impact factor: 3.272

Review 7.  Structure and composition of pulmonary arteries, capillaries, and veins.

Authors:  Mary I Townsley
Journal:  Compr Physiol       Date:  2012-01       Impact factor: 9.090

8.  A structure-function analysis of the left ventricle.

Authors:  Edward P Snelling; Roger S Seymour; J E F Green; Leith C R Meyer; Andrea Fuller; Anna Haw; Duncan Mitchell; Anthony P Farrell; Mary-Ann Costello; Adian Izwan; Margaret Badenhorst; Shane K Maloney
Journal:  J Appl Physiol (1985)       Date:  2016-09-01

9.  Vitamin D Sufficiency Has a Limited Effect on Placental Structure and Pathology: Placental Phenotypes in the VDAART Trial.

Authors:  Mai He; Hooman Mirzakhani; Ling Chen; Robert Wu; Augusto A Litonjua; Leonard Bacharier; Scott T Weiss; D Michael Nelson
Journal:  Endocrinology       Date:  2020-06-01       Impact factor: 4.736

10.  Statistical and economical efficiency in assessment of liver regeneration using defined sample size and selection in combination with a fully automated image analysis system.

Authors:  Meihong Deng; Robert Kleinert; Hai Huang; Qing He; Fotima Madrahimova; Olaf Dirsch; Uta Dahmen
Journal:  J Histochem Cytochem       Date:  2009-07-20       Impact factor: 2.479

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