ArticlePloS one2018
A gradient-based, GPU-accelerated, high-precision contour-segmentation algorithm with application to cell membrane fluctuation spectroscopy.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Computational Microscopy Reveals Compound-Specific Flickering Phenotypes of Red Blood Cells Under Flavonoid Exposure.Membranes · 2026Article
- Active Force Dynamics in Red Blood Cells Under Non-Invasive Optical Tweezers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Stochastic motility energetics reveals cooperative bacterial swarming in optical tweezers.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Mechanical adaptivity of red blood cell flickering to extrinsic membrane stiffening by the solid-like biosurfactant β-Aescin.Biophysical journal · 2025Article
- Red blood cell flickering activity locally controlled by holographic optical tweezers.iScience · 2024Article
- Membrane rigidity regulates E. coli proliferation rates.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
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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.
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