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Items: 1 to 20 of 147

1.

User-friendly tools for quantifying the dynamics of cellular morphology and intracellular protein clusters.

Tsygankov D, Chu PH, Chen H, Elston TC, Hahn KM.

Methods Cell Biol. 2014;123:409-27. doi: 10.1016/B978-0-12-420138-5.00022-7.

2.

TLM-Tracker: software for cell segmentation, tracking and lineage analysis in time-lapse microscopy movies.

Klein J, Leupold S, Biegler I, Biedendieck R, Münch R, Jahn D.

Bioinformatics. 2012 Sep 1;28(17):2276-7. doi: 10.1093/bioinformatics/bts424. Epub 2012 Jul 5.

PMID:
22772947
3.

Open source software for quantification of cell migration, protrusions, and fluorescence intensities.

Barry DJ, Durkin CH, Abella JV, Way M.

J Cell Biol. 2015 Apr 13;209(1):163-80. doi: 10.1083/jcb.201501081. Epub 2015 Apr 6.

4.

STSE: Spatio-Temporal Simulation Environment Dedicated to Biology.

Stoma S, Fröhlich M, Gerber S, Klipp E.

BMC Bioinformatics. 2011 Apr 28;12:126. doi: 10.1186/1471-2105-12-126.

5.

MATtrack: A MATLAB-Based Quantitative Image Analysis Platform for Investigating Real-Time Photo-Converted Fluorescent Signals in Live Cells.

Courtney J, Woods E, Scholz D, Hall WW, Gautier VW.

PLoS One. 2015 Oct 20;10(10):e0140209. doi: 10.1371/journal.pone.0140209. eCollection 2015. Erratum in: PLoS One. 2015;10(11):e0143074.

6.

plusTipTracker: Quantitative image analysis software for the measurement of microtubule dynamics.

Applegate KT, Besson S, Matov A, Bagonis MH, Jaqaman K, Danuser G.

J Struct Biol. 2011 Nov;176(2):168-84. doi: 10.1016/j.jsb.2011.07.009. Epub 2011 Jul 29.

7.

Segmentation and quantification of subcellular structures in fluorescence microscopy images using Squassh.

Rizk A, Paul G, Incardona P, Bugarski M, Mansouri M, Niemann A, Ziegler U, Berger P, Sbalzarini IF.

Nat Protoc. 2014 Mar;9(3):586-96. doi: 10.1038/nprot.2014.037. Epub 2014 Feb 13.

PMID:
24525752
8.

An analytical tool that quantifies cellular morphology changes from three-dimensional fluorescence images.

Haass-Koffler CL, Naeemuddin M, Bartlett SE.

J Vis Exp. 2012 Aug 31;(66):e4233. doi: 10.3791/4233.

9.

Visualization and correction of automated segmentation, tracking and lineaging from 5-D stem cell image sequences.

Wait E, Winter M, Bjornsson C, Kokovay E, Wang Y, Goderie S, Temple S, Cohen AR.

BMC Bioinformatics. 2014 Oct 3;15:328. doi: 10.1186/1471-2105-15-328.

10.

EpiTools: An Open-Source Image Analysis Toolkit for Quantifying Epithelial Growth Dynamics.

Heller D, Hoppe A, Restrepo S, Gatti L, Tournier AL, Tapon N, Basler K, Mao Y.

Dev Cell. 2016 Jan 11;36(1):103-16. doi: 10.1016/j.devcel.2015.12.012.

11.

Methods for cell and particle tracking.

Meijering E, Dzyubachyk O, Smal I.

Methods Enzymol. 2012;504:183-200. doi: 10.1016/B978-0-12-391857-4.00009-4. Review.

PMID:
22264535
12.

Fully-automated image processing software to analyze calcium traces in populations of single cells.

Wong LC, Lu B, Tan KW, Fivaz M.

Cell Calcium. 2010 Nov;48(5):270-4. doi: 10.1016/j.ceca.2010.09.008. Epub 2010 Oct 16.

PMID:
20952058
13.

Multidimensional quantification of subcellular morphology of Saccharomyces cerevisiae using CalMorph, the high-throughput image-processing program.

Negishi T, Nogami S, Ohya Y.

J Biotechnol. 2009 May 20;141(3-4):109-17. doi: 10.1016/j.jbiotec.2009.03.014. Epub 2009 Mar 31.

PMID:
19433213
14.

An integrated image analysis platform to quantify signal transduction in single cells.

Pelet S, Dechant R, Lee SS, van Drogen F, Peter M.

Integr Biol (Camb). 2012 Oct;4(10):1274-82.

PMID:
22976484
15.

Oufti: an integrated software package for high-accuracy, high-throughput quantitative microscopy analysis.

Paintdakhi A, Parry B, Campos M, Irnov I, Elf J, Surovtsev I, Jacobs-Wagner C.

Mol Microbiol. 2016 Feb;99(4):767-77. doi: 10.1111/mmi.13264. Epub 2015 Dec 18.

16.

Image analysis in fluorescence microscopy: bacterial dynamics as a case study.

van Teeffelen S, Shaevitz JW, Gitai Z.

Bioessays. 2012 May;34(5):427-36. doi: 10.1002/bies.201100148. Epub 2012 Mar 13. Review.

17.

CellGeo: a computational platform for the analysis of shape changes in cells with complex geometries.

Tsygankov D, Bilancia CG, Vitriol EA, Hahn KM, Peifer M, Elston TC.

J Cell Biol. 2014 Feb 3;204(3):443-60. doi: 10.1083/jcb.201306067.

18.

An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy.

Buggenthin F, Marr C, Schwarzfischer M, Hoppe PS, Hilsenbeck O, Schroeder T, Theis FJ.

BMC Bioinformatics. 2013 Oct 4;14:297. doi: 10.1186/1471-2105-14-297.

19.

A strategy for identifying fluorescence intensity profiles of single rod-shaped cells.

Herzog A, Voss B, Keilberg D, Hot E, Søgaard-Andersen L, Garbe C, Kostina E.

J Bioinform Comput Biol. 2013 Apr;11(2):1250024. doi: 10.1142/S0219720012500242. Epub 2012 Dec 25.

PMID:
23600815
20.

Review of free software tools for image analysis of fluorescence cell micrographs.

Wiesmann V, Franz D, Held C, Münzenmayer C, Palmisano R, Wittenberg T.

J Microsc. 2015 Jan;257(1):39-53. doi: 10.1111/jmi.12184. Epub 2014 Oct 31. Review.

PMID:
25359577

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