The densitometric physical fractionator for counting neuronal populations: Application to a mouse model of familial amyotrophic lateral sclerosis

Giuseppe Luca Ciavarro, Novella Calvaresi, Andrea Botturi, Caterina Bendotti, Giuseppe Andreoni, Antonio Pedotti

Research output: Contribution to journalArticle

Abstract

The method of the 'densitometric physical fractionator' presented here realizes an accurate and reproducible stereological quantification, not requiring a motorized or controlled z-axis, of cell populations. It includes a special software for the calibration of the optics alignment of the microscope and a semi-automatic procedure that integrates specific densitometric functions for image analysis, to identify the reference volume and the particle profiles. This improves the identification of the cells significantly, reduces variability in the subjective choice of the particles by the operators, and allows a consistent saving of time during the analysis. The method is proved to be unbiased and the accuracy and reproducibility of the results has been validated through intra- and inter-operator analyses. Furthermore, it has been applied to calculate the loss of spinal motor neurons during pathology progression in transgenic mice for superoxide-dismutase Cu/Zn dependent (SOD1) mutants, a model of amyotrophic lateral sclerosis (ALS).

Original languageEnglish
Pages (from-to)61-71
Number of pages11
JournalJournal of Neuroscience Methods
Volume129
Issue number1
DOIs
Publication statusPublished - Oct 15 2003

Fingerprint

Population
Amyotrophic Lateral Sclerosis
Motor Neurons
Reproducibility of Results
Transgenic Mice
Calibration
Software
Pathology
Amyotrophic lateral sclerosis 1
Superoxide Dismutase-1

Keywords

  • ALS
  • Bias
  • Densitometry
  • Fractionator
  • Neuronal count
  • Stereology

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

The densitometric physical fractionator for counting neuronal populations : Application to a mouse model of familial amyotrophic lateral sclerosis. / Ciavarro, Giuseppe Luca; Calvaresi, Novella; Botturi, Andrea; Bendotti, Caterina; Andreoni, Giuseppe; Pedotti, Antonio.

In: Journal of Neuroscience Methods, Vol. 129, No. 1, 15.10.2003, p. 61-71.

Research output: Contribution to journalArticle

@article{513715c38237456d885808395746b97d,
title = "The densitometric physical fractionator for counting neuronal populations: Application to a mouse model of familial amyotrophic lateral sclerosis",
abstract = "The method of the 'densitometric physical fractionator' presented here realizes an accurate and reproducible stereological quantification, not requiring a motorized or controlled z-axis, of cell populations. It includes a special software for the calibration of the optics alignment of the microscope and a semi-automatic procedure that integrates specific densitometric functions for image analysis, to identify the reference volume and the particle profiles. This improves the identification of the cells significantly, reduces variability in the subjective choice of the particles by the operators, and allows a consistent saving of time during the analysis. The method is proved to be unbiased and the accuracy and reproducibility of the results has been validated through intra- and inter-operator analyses. Furthermore, it has been applied to calculate the loss of spinal motor neurons during pathology progression in transgenic mice for superoxide-dismutase Cu/Zn dependent (SOD1) mutants, a model of amyotrophic lateral sclerosis (ALS).",
keywords = "ALS, Bias, Densitometry, Fractionator, Neuronal count, Stereology",
author = "Ciavarro, {Giuseppe Luca} and Novella Calvaresi and Andrea Botturi and Caterina Bendotti and Giuseppe Andreoni and Antonio Pedotti",
year = "2003",
month = "10",
day = "15",
doi = "10.1016/S0165-0270(03)00201-2",
language = "English",
volume = "129",
pages = "61--71",
journal = "Journal of Neuroscience Methods",
issn = "0165-0270",
publisher = "Elsevier",
number = "1",

}

TY - JOUR

T1 - The densitometric physical fractionator for counting neuronal populations

T2 - Application to a mouse model of familial amyotrophic lateral sclerosis

AU - Ciavarro, Giuseppe Luca

AU - Calvaresi, Novella

AU - Botturi, Andrea

AU - Bendotti, Caterina

AU - Andreoni, Giuseppe

AU - Pedotti, Antonio

PY - 2003/10/15

Y1 - 2003/10/15

N2 - The method of the 'densitometric physical fractionator' presented here realizes an accurate and reproducible stereological quantification, not requiring a motorized or controlled z-axis, of cell populations. It includes a special software for the calibration of the optics alignment of the microscope and a semi-automatic procedure that integrates specific densitometric functions for image analysis, to identify the reference volume and the particle profiles. This improves the identification of the cells significantly, reduces variability in the subjective choice of the particles by the operators, and allows a consistent saving of time during the analysis. The method is proved to be unbiased and the accuracy and reproducibility of the results has been validated through intra- and inter-operator analyses. Furthermore, it has been applied to calculate the loss of spinal motor neurons during pathology progression in transgenic mice for superoxide-dismutase Cu/Zn dependent (SOD1) mutants, a model of amyotrophic lateral sclerosis (ALS).

AB - The method of the 'densitometric physical fractionator' presented here realizes an accurate and reproducible stereological quantification, not requiring a motorized or controlled z-axis, of cell populations. It includes a special software for the calibration of the optics alignment of the microscope and a semi-automatic procedure that integrates specific densitometric functions for image analysis, to identify the reference volume and the particle profiles. This improves the identification of the cells significantly, reduces variability in the subjective choice of the particles by the operators, and allows a consistent saving of time during the analysis. The method is proved to be unbiased and the accuracy and reproducibility of the results has been validated through intra- and inter-operator analyses. Furthermore, it has been applied to calculate the loss of spinal motor neurons during pathology progression in transgenic mice for superoxide-dismutase Cu/Zn dependent (SOD1) mutants, a model of amyotrophic lateral sclerosis (ALS).

KW - ALS

KW - Bias

KW - Densitometry

KW - Fractionator

KW - Neuronal count

KW - Stereology

UR - http://www.scopus.com/inward/record.url?scp=0041386352&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0041386352&partnerID=8YFLogxK

U2 - 10.1016/S0165-0270(03)00201-2

DO - 10.1016/S0165-0270(03)00201-2

M3 - Article

C2 - 12951233

AN - SCOPUS:0041386352

VL - 129

SP - 61

EP - 71

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

SN - 0165-0270

IS - 1

ER -