Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/34600
Title: A gradient-based, GPU-accelerated, high-precision contour-segmentation algorithm with application to cell membrane fluctuation spectroscopy.
Authors: Mell, Michael
Monroy, Francisco
Mesh: 
Issue Date: 2018
Citation: PLoS ONE.2018;(13)12:e0207376
Abstract: We present a novel intensity-gradient based algorithm specifically designed for nanometer-segmentation of cell membrane contours obtained with high-resolution optical microscopy combined with high-velocity digital imaging. The algorithm relies on the image oversampling performance and computational power of graphical processing units (GPUs). Both, synthetic and experimental data are used to quantify the sub-pixel precision of the algorithm, whose analytic performance results comparatively higher than in previous methods. Results from the synthetic data indicate that the spatial precision of the presented algorithm is only limited by the signal-to-noise ratio (SNR) of the contour image. We emphasize on the application of the new algorithm to membrane fluctuations (flickering) in eukaryotic cells, bacteria and giant vesicle models. The method shows promising applicability in several fields of cellular biology and medical imaging for nanometer-precise boundary-determination and mechanical fingerprinting of cellular membranes in optical microscopy images. Our implementation of this high-precision flicker spectroscopy contour tracking algorithm (HiPFSTA) is provided as open-source at www.github.com/michaelmell/hipfsta.
PMID: 30521560
URI: https://hdl.handle.net/20.500.12530/34600
Rights: openAccess
Appears in Collections:Fundaciones e Institutos de Investigación > IIS H. U. 12 de Octubre > Artículos

Files in This Item:
File Description SizeFormat 
PMC6283589.pdf5.36 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.