![]() MorphoNeuroNet, written as a script for ImageJ, Java based freeware, automatically determines various morphological parameters of the soma and the neurites (size, shape, starting points, and fractional occupation). Here, we present a fully automated method for quantifying the morphology of neurons and the density of neurite networks, in dense neuronal cultures, which are grown for more than 10 days. However, most existing methods show poor performance for well-connected and differentiated neuronal networks, which may serve as valuable models for inter alia synaptogenesis. To analyze neuronal morphology, automatic image analysis pipelines have been conceived, which accurately quantify the shape changes of neurons in cell cultures with non-dense neurite networks. Abstract High content cell-based screens are rapidly gaining popularity in the context of neuronal regeneration studies. E-mail: Published online 12 November 2013 in Wiley Online Library () DOI: 10.1002/cyto.a.22408 C 2013 International Society for V CEN, Boeretang 200, 2400 Mol, Belgium.Correspondence to: Giuseppe Pani, Radiobiology Unit, Molecular and Cellular Biology Expert Group, Belgian Nuclear Research Centre, SCK Additional Supporting Information may be found in the online version of this article. CEN-UGent PhD Grant number: AFDR-A2008-67 (to GP).Received 7 December 2012 Revised 6 June 2013 Accepted 5 October 2013 Grant sponsor: PRODEX/ESA, Grant number: C90-303, C90-391 and CO-90-11-280102) Grant sponsor: the Hercules Foundation, Grant number: AUGE/013 Grant sponsor: Belgian Research Fund, Grant number: B/11599/17 Grant sponsor: EU FP7 project CEREBRAD Grant number: GA 295552 Grant sponsor: Sardinian Government with 3 year grant from “Master
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