Automatic dendritic spine quantification from confocal data with neurolucida 360

Dara L. Dickstein, Daniel R. Dickstein, William G.M. Janssen, Patrick R. Hof, Jacob R. Glaser, Alfredo Rodriguez, Nate O’Connor, Paul Angstman, Susan J. Tappan

Research output: Contribution to journalArticlepeer-review

40 Scopus citations


Determining the density and morphology of dendritic spines is of high biological significance given the role of spines in synaptic plasticity and in neurodegenerative and neuropsychiatric disorders. Precise quantification of spines in three dimensions (3D) is essential for understanding the structural determinants of normal and pathological neuronal function. However, this quantification has been restricted to time- and labor-intensive methods such as electron microscopy and manual counting, which have limited throughput and are impractical for studies of large samples. While there have been some automated software packages that quantify spine number, they are limited in terms of their characterization of spine structure. This unit presents methods for objective dendritic spine morphometric analysis by providing image acquisition parameters needed to ensure optimal data series for proper spine detection, characterization, and quantification with Neurolucida 360. These protocols will be a valuable reference for scientists working towards quantifying and characterizing spines.

Original languageEnglish
Pages (from-to)1.27.1-1.27.21
JournalCurrent Protocols in Neuroscience
StatePublished - 2016


  • Automated quantification
  • Confocal microscopy
  • Dendritic spines
  • Neurons


Dive into the research topics of 'Automatic dendritic spine quantification from confocal data with neurolucida 360'. Together they form a unique fingerprint.

Cite this