Premium
Complexity and scaling properties of amacrine, ganglion, horizontal, and bipolar cells in the turtle retina
Author(s) -
Fernandez Eduardo,
Eldred William D.,
Ammermüller Josef,
Block Arthur,
Von Bloh Werner,
Kolb Helga
Publication year - 1994
Publication title -
journal of comparative neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.855
H-Index - 209
eISSN - 1096-9861
pISSN - 0021-9967
DOI - 10.1002/cne.903470306
Subject(s) - lucifer yellow , biology , horseradish peroxidase , fractal dimension , retina , receptive field , neuroscience , anatomy , intracellular , fractal , microbiology and biotechnology , gap junction , biochemistry , mathematics , mathematical analysis , enzyme
In the present studies we have evaluated the complexity and scaling properties of the morphology of retinal neurons using fractal dimension as a quantitative parameter. We examined a large number of cells from Pseudemys scripta and Mauremys caspica turtles that had been labeled using Golgi‐impregnation techniques, intracellular injection of Lucifer Yellow followed by photooxidation, intracellular injection of rhodamine conjugated horseradish peroxidase, or intracellular injection of Lucifer Yellow or horseradish peroxidase alone. The fractal dimensions of two dimensional projections of the cells were calculated using a box counting method. Discriminant analysis revealed fractal dimension to be a significant classification parameter among several other parameters typically used for placing turtle retinal neurons in different cell classes. The fractal dimension of amacrine cells was significantly correlated with dendritic field diameters, while the fractal dimensions of ganglion cells did not vary with dendritic field span. There were no significant differences between the same cell types in two different turtle species, or between the same types of neurons in the same species after labeling with different techniques. The application of fractal dimension, as a quantitative measure of complexity and scaling properties and as a classification criterion of neuronal types, appears to be useful and may have wide applicability to other parts of the central nervous system. © 1994 Wiley‐Liss, Inc.