Semi-automated Quantification of Axonal Densities in Labeled CNS Tissue
Journal of Neuroscience Methods
Current techniques used to quantify axons often rely upon manual quantification or potentially expensive commercially available programs for automated quantification. We describe a computerized method for the detection and quantification of axons in the rat CNS using readily available free software. Feature J, a java-based plug-in to the imaging software NIH Image J, faithfully detects linear structures such as axons in confocal or bright-field images using a Hessian-based algorithm. We validated the method by comparing values obtained by manual and automated analyses of axons induced to grow in response to neurotrophin over-expression in the rat spinal cord. We also demonstrated that the program can be used to quantify neurotrophin-induced growth of lesioned serotonergic axons in the rat cortex, where manual measurement would be impractical due to dense axonal growth. The use of this software suite provided faster and less biased quantification of labeled axons in comparison to manual measurements at no cost.
Faculty Start Year
Grider MH, Chen Q, Shine HD. (2006). Semi-automated quantification of axonal densities in labeled CNS tissue. Journal of Neuroscience Methods 155(2):172-179