ArticleFrontiers in neuroanatomy2018
DEFiNE: A Method for Enhancement and Quantification of Fluorescently Labeled Axons.
Article in Frontiers in neuroanatomy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Alterations in dopaminergic innervation and receptors in focal cortical dysplasia.Brain : a journal of neurology · 2025Article
- AxoDen: An Algorithm for the Automated Quantification of Axonal Density in Defined Brain Regions.eNeuro · 2025Article
- The functional and anatomical characterization of three spinal output pathways of the anterolateral tract.Cell reports · 2024Article
- The impact of the mesoprefrontal dopaminergic system on the maturation of interneurons in the murine prefrontal cortex.Frontiers in neuroscience · 2024Article
- Distribution of vasopressin 1a and oxytocin receptor protein and mRNA in the basal forebrain and midbrain of the spiny mouse (Acomys cahirinus).Brain structure & function · 2023Article
- Article
- Cerebellin-2 regulates a serotonergic dorsal raphe circuit that controls compulsive behaviors.Molecular psychiatry · 2021Article
- Elimination of galanin synthesis in noradrenergic neurons reduces galanin in select brain areas and promotes active coping behaviors.Brain structure & function · 2020Article
- Article
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5 authors.
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Abstract
Visualization and quantification of fluorescently labeled axonal fibers are widely employed in studies of neuronal connectivity in the brain. However, accurate analysis of axon density is often confounded by autofluorescence and other fluorescent artifacts. By the time these problems are detected in labeled tissue sections, significant time and resources have been invested, and the tissue may not be easy to replace. In response to these difficulties, we have developed Digital Enhancement of Fibers with Noise Elimination (DEFiNE), a method for eliminating fluorescent artifacts from digital images based on their morphology and fluorescence spectrum, thus permitting enhanced visualization and quantification of axonal fibers. Application of this method is facilitated by a DEFiNE macro, written using ImageJ Macro Language (IJM), which includes an automated and customizable procedure for image processing and a semi-automated quantification method that accounts for any remaining local variation in background intensity. The DEFiNE macro is open-source and used with the widely available FIJI software for maximum accessibility.
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