Literature DB >> 27074673

On the Quantification of Cellular Velocity Fields.

Dhruv K Vig1, Alex E Hamby1, Charles W Wolgemuth2.   

Abstract

The application of flow visualization in biological systems is becoming increasingly common in studies ranging from intracellular transport to the movements of whole organisms. In cell biology, the standard method for measuring cell-scale flows and/or displacements has been particle image velocimetry (PIV); however, alternative methods exist, such as optical flow constraint. Here we review PIV and optical flow, focusing on the accuracy and efficiency of these methods in the context of cellular biophysics. Although optical flow is not as common, a relatively simple implementation of this method can outperform PIV and is easily augmented to extract additional biophysical/chemical information such as local vorticity or net polymerization rates from speckle microscopy.
Copyright © 2016 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2016        PMID: 27074673      PMCID: PMC4833777          DOI: 10.1016/j.bpj.2016.02.032

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


  21 in total

1.  Tracking differential interference contrast diffraction line images with nanometre sensitivity.

Authors:  G Danuser; P T Tran; E D Salmon
Journal:  J Microsc       Date:  2000-04       Impact factor: 1.758

2.  Two distinct actin networks drive the protrusion of migrating cells.

Authors:  A Ponti; M Machacek; S L Gupton; C M Waterman-Storer; G Danuser
Journal:  Science       Date:  2004-09-17       Impact factor: 47.728

3.  Computer vision in cell biology.

Authors:  Gaudenz Danuser
Journal:  Cell       Date:  2011-11-23       Impact factor: 41.582

4.  Velocity fields in a collectively migrating epithelium.

Authors:  L Petitjean; M Reffay; E Grasland-Mongrain; M Poujade; B Ladoux; A Buguin; P Silberzan
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

Review 5.  Quantitative fluorescent speckle microscopy of cytoskeleton dynamics.

Authors:  Gaudenz Danuser; Clare M Waterman-Storer
Journal:  Annu Rev Biophys Biomol Struct       Date:  2006

6.  Germline P granules are liquid droplets that localize by controlled dissolution/condensation.

Authors:  Clifford P Brangwynne; Christian R Eckmann; David S Courson; Agata Rybarska; Carsten Hoege; Jöbin Gharakhani; Frank Jülicher; Anthony A Hyman
Journal:  Science       Date:  2009-05-21       Impact factor: 47.728

7.  Cell-ECM traction force modulates endogenous tension at cell-cell contacts.

Authors:  Venkat Maruthamuthu; Benedikt Sabass; Ulrich S Schwarz; Margaret L Gardel
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-07       Impact factor: 11.205

8.  Collective migration of an epithelial monolayer in response to a model wound.

Authors:  M Poujade; E Grasland-Mongrain; A Hertzog; J Jouanneau; P Chavrier; B Ladoux; A Buguin; P Silberzan
Journal:  Proc Natl Acad Sci U S A       Date:  2007-09-28       Impact factor: 11.205

9.  Myosin II contributes to cell-scale actin network treadmilling through network disassembly.

Authors:  Cyrus A Wilson; Mark A Tsuchida; Greg M Allen; Erin L Barnhart; Kathryn T Applegate; Patricia T Yam; Lin Ji; Kinneret Keren; Gaudenz Danuser; Julie A Theriot
Journal:  Nature       Date:  2010-05-20       Impact factor: 49.962

10.  Robust single-particle tracking in live-cell time-lapse sequences.

Authors:  Khuloud Jaqaman; Dinah Loerke; Marcel Mettlen; Hirotaka Kuwata; Sergio Grinstein; Sandra L Schmid; Gaudenz Danuser
Journal:  Nat Methods       Date:  2008-07-20       Impact factor: 28.547

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  20 in total

Review 1.  Modeling, signaling and cytoskeleton dynamics: integrated modeling-experimental frameworks in cell migration.

Authors:  Meng Sun; Muhammad H Zaman
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2016-11-15

2.  Formation of correlated chromatin domains at nanoscale dynamic resolution during transcription.

Authors:  Haitham A Shaban; Roman Barth; Kerstin Bystricky
Journal:  Nucleic Acids Res       Date:  2018-07-27       Impact factor: 16.971

3.  Quantifying Intracellular Particle Flows by DIC Object Tracking.

Authors:  Anushree R Chaphalkar; Yash K Jawale; Dhruv Khatri; Chaitanya A Athale
Journal:  Biophys J       Date:  2021-01-11       Impact factor: 4.033

4.  An integrated platform to facilitate the calculation, validation and visualization of optical flow velocities in biological images.

Authors:  Xianbin Yong; Cheng-Kuang Huang; Chwee Teck Lim
Journal:  J R Soc Interface       Date:  2021-06-16       Impact factor: 4.293

5.  Quantitative Analysis of Intracellular Motility Based on Optical Flow Model.

Authors:  Yali Huang; Lei Hao; Heng Li; Zhiwen Liu; Peiguang Wang
Journal:  J Healthc Eng       Date:  2017-07-30       Impact factor: 2.682

6.  Neurite elongation is highly correlated with bulk forward translocation of microtubules.

Authors:  Ahmad I M Athamneh; Yingpei He; Phillip Lamoureux; Lucas Fix; Daniel M Suter; Kyle E Miller
Journal:  Sci Rep       Date:  2017-08-04       Impact factor: 4.379

7.  Cellular Contraction Can Drive Rapid Epithelial Flows.

Authors:  Dhruv K Vig; Alex E Hamby; Charles W Wolgemuth
Journal:  Biophys J       Date:  2017-10-03       Impact factor: 4.033

8.  3D viscoelastic drag forces contribute to cell shape changes during organogenesis in the zebrafish embryo.

Authors:  Paula C Sanematsu; Gonca Erdemci-Tandogan; Himani Patel; Emma M Retzlaff; Jeffrey D Amack; M Lisa Manning
Journal:  Cells Dev       Date:  2021-07-14

9.  Cell density and actomyosin contractility control the organization of migrating collectives within an epithelium.

Authors:  Andrew J Loza; Sarita Koride; Gregory V Schimizzi; Bo Li; Sean X Sun; Gregory D Longmore
Journal:  Mol Biol Cell       Date:  2016-09-07       Impact factor: 4.138

10.  Collective cell migration without proliferation: density determines cell velocity and wave velocity.

Authors:  Sham Tlili; Estelle Gauquelin; Brigitte Li; Olivier Cardoso; Benoît Ladoux; Hélène Delanoë-Ayari; François Graner
Journal:  R Soc Open Sci       Date:  2018-05-02       Impact factor: 2.963

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