Image analysis of Nissl‐stained neuronal perikarya in the primary visual cortex of the rat: Automatic detection and segmentation of neuronal profiles with nuclei and nucleoli *

An image analysing procedure for the morphometric characterization of cortical neurons in Nissl‐stained brain sections is described. It consists of the automatic detection of cellular profiles and their compartments: cytoplasm, nucleus and nucleolus.

[1]  Kendall Preston,et al.  Tissue section analysis: Feature selection and image processing , 1981, Pattern Recognit..

[2]  Prof. Dr. Karl Zilles.  The Cortex of the Rat , 1985, Springer Berlin Heidelberg.

[3]  Sholl Da.  Dendritic organization in the neurons of the visual and motor cortices of the cat. , 1953 .

[4]  W. M. Cowan,et al.  A computer system for the measurement of cell and nuclear sizes* , 1973, Journal of microscopy.

[5]  A. Peters,et al.  The forms of non‐pyramidal neurons in the visual cortex of the rat , 1978, The Journal of comparative neurology.

[6]  E. J. Field,et al.  Das zentralnervensystem in Zahlen und Tabellen , 1970 .

[7]  H. J. G. Gundersen,et al.  The impact of recent stereological advances on quantitative studies of the nervous system , 1986, Journal of Neuroscience Methods.

[8]  Ludwig Dipl Ing Abele,et al.  Konturfindungsalgorithmen und ihre Anwendung auf dem Gebiet der medizinischen Bilddatenverarbeitung , 1978, DAGM-Symposium.

[9]  Karl J. Zilles,et al.  The Cortex of the Rat: A Stereotaxic Atlas , 1985 .

[10]  Karl Zilles,et al.  A quantitative approach to cytoarchitectonics: software and hardware aspects of a system for the evaluation and analysis of structural inhomogeneities in nervous tissue , 1986, Journal of Neuroscience Methods.

[11]  M. Berry,et al.  Vertex analysis of neural tree structures containing trichotomous nodes , 1986, Journal of Neuroscience Methods.

[12]  H. B. M. Uylings,et al.  The metric analysis of three-dimensional dendritic tree patterns: a methodological review , 1986, Journal of Neuroscience Methods.

[13]  G Zinser,et al.  Segmentation of cell nuclei in tissue section analysis. , 1983, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[14]  D. C. Sterio.  The unbiased estimation of number and sizes of arbitrary particles using the disector , 1984, Journal of microscopy.

[15]  T A Woolsey,et al.  On the “selectivity” of the Golgi‐Cox method , 1975, The Journal of comparative neurology.

[16]  A. Peters,et al.  The neuronal composition of area 17 of rat visual cortex. I. The pyramidal cells , 1985, The Journal of comparative neurology.

[17]  A. Peters,et al.  The neuronal composition of area 17 of rat visual cortex. IV. The organization of pyramidal cells , 1987, The Journal of comparative neurology.

[18]  A. K. H. Miller,et al.  Using the quantimet 720 image analyzing computer to count nucleolated neurones in the human brain , 1981, Journal of Neuroscience Methods.

[19]  A. Schleicher,et al.  Recognition of the retrograde reaction in motoneurons using an image analysing system , 1989, Journal of Neuroscience Methods.

[20]  Robert D. Terry,et al.  The importance of video editing in automated image analysis in studies of the cerebral cortex , 1982, Journal of the Neurological Sciences.

[21]  Robert J. Walter,et al.  Computer-assisted video analysis of [3H]spiroperidol binding autoradiographs , 1984, Journal of Neuroscience Methods.

[22]  Arthur C. Sanderson,et al.  A System for Automated Liver Tissue Image Analysis: Methods and Results , 1985, IEEE Transactions on Biomedical Engineering.

[23]  K. Voss,et al.  Age-related classification of pyramidal and stellate cells in the rat visual cortex: a Nissl study with the 'Morphoquant'. , 1981, Journal fur Hirnforschung.