Literature DB >> 23790386

A simplified implementation of the bubble analysis of biopolymer network pores.

Stefan Münster1, Ben Fabry.   

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Year:  2013        PMID： 23790386      PMCID： PMC3686353          DOI： 10.1016/j.bpj.2013.05.016

Source DB:  PubMed          Journal:  Biophys J        ISSN： 0006-3495            Impact factor:   4.033


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  4 in total

1.  Glioma expansion in collagen I matrices: analyzing collagen concentration-dependent growth and motility patterns.

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Journal:  Biophys J       Date:  2005-04-22       Impact factor: 4.033

2.  NEMO: a tool for analyzing gene and chromosome territory distributions from 3D-FISH experiments.

Authors:  E Iannuccelli; F Mompart; J Gellin; Y Lahbib-Mansais; M Yerle; T Boudier
Journal:  Bioinformatics       Date:  2010-01-14       Impact factor: 6.937

3.  Robust pore size analysis of filamentous networks from three-dimensional confocal microscopy.

Authors:  Walter Mickel; Stefan Münster; Louise M Jawerth; David A Vader; David A Weitz; Adrian P Sheppard; Klaus Mecke; Ben Fabry; Gerd E Schröder-Turk
Journal:  Biophys J       Date:  2008-10-03       Impact factor: 4.033

4.  Fast two-dimensional bubble analysis of biopolymer filamentous networks pore size from confocal microscopy thin data stacks.

Authors:  Matteo Molteni; Davide Magatti; Barbara Cardinali; Mattia Rocco; Fabio Ferri
Journal:  Biophys J       Date:  2013-03-05       Impact factor: 4.033
  4 in total
  11 in total

1.  Response to "a simplified implementation of the bubble analysis of biopolymer networks pores".

Authors:  Matteo Molteni; Davide Magatti; Barbara Cardinali; Mattia Rocco; Fabio Ferri
Journal:  Biophys J       Date:  2013-06-18       Impact factor: 4.033

2.  Estimating the 3D pore size distribution of biopolymer networks from directionally biased data.

Authors:  Nadine R Lang; Stefan Münster; Claus Metzner; Patrick Krauss; Sebastian Schürmann; Janina Lange; Katerina E Aifantis; Oliver Friedrich; Ben Fabry
Journal:  Biophys J       Date:  2013-11-05       Impact factor: 4.033

3.  Fibrous nonlinear elasticity enables positive mechanical feedback between cells and ECMs.

Authors:  Matthew S Hall; Farid Alisafaei; Ehsan Ban; Xinzeng Feng; Chung-Yuen Hui; Vivek B Shenoy; Mingming Wu
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-21       Impact factor: 11.205

4.  Aggregates Dramatically Alter Fibrin Ultrastructure.

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Journal:  Biophys J       Date:  2019-11-02       Impact factor: 4.033

5.  Breast Cancer Cells Adapt Contractile Forces to Overcome Steric Hindrance.

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Journal:  Biophys J       Date:  2019-03-07       Impact factor: 4.033

6.  Biphasic response of cell invasion to matrix stiffness in three-dimensional biopolymer networks.

Authors:  Nadine R Lang; Kai Skodzek; Sebastian Hurst; Astrid Mainka; Julian Steinwachs; Julia Schneider; Katerina E Aifantis; Ben Fabry
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7.  Mechanistic adaptability of cancer cells strongly affects anti-migratory drug efficacy.

Authors:  Wei Sun; Chwee Teck Lim; Nicholas Agung Kurniawan
Journal:  J R Soc Interface       Date:  2014-10-06       Impact factor: 4.118

Review 8.  Quantifying Modes of 3D Cell Migration.

Authors:  Meghan K Driscoll; Gaudenz Danuser
Journal:  Trends Cell Biol       Date:  2015-10-23       Impact factor: 20.808

9.  Heidelberg-mCT-Analyzer: a novel method for standardized microcomputed-tomography-guided evaluation of scaffold properties in bone and tissue research.

Authors:  Fabian Westhauser; Christian Weis; Melanie Hoellig; Tyler Swing; Gerhard Schmidmaier; Marc-André Weber; Wolfram Stiller; Hans-Ulrich Kauczor; Arash Moghaddam
Journal:  R Soc Open Sci       Date:  2015-11-11       Impact factor: 2.963

10.  Image analysis method for heterogeneity and porosity characterization of biomimetic hydrogels.

Authors:  Maryam Jamshidi; Cavus Falamaki
Journal:  F1000Res       Date:  2020-12-15
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