Literature DB >> 22121157

CellAnimation: an open source MATLAB framework for microscopy assays.

Walter Georgescu1, John P Wikswo, Vito Quaranta.   

Abstract

MOTIVATION: Advances in microscopy technology have led to the creation of high-throughput microscopes that are capable of generating several hundred gigabytes of images in a few days. Analyzing such wealth of data manually is nearly impossible and requires an automated approach. There are at present a number of open-source and commercial software packages that allow the user to apply algorithms of different degrees of sophistication to the images and extract desired metrics. However, the types of metrics that can be extracted are severely limited by the specific image processing algorithms that the application implements, and by the expertise of the user. In most commercial software, code unavailability prevents implementation by the end user of newly developed algorithms better suited for a particular type of imaging assay. While it is possible to implement new algorithms in open-source software, rewiring an image processing application requires a high degree of expertise. To obviate these limitations, we have developed an open-source high-throughput application that allows implementation of different biological assays such as cell tracking or ancestry recording, through the use of small, relatively simple image processing modules connected into sophisticated imaging pipelines. By connecting modules, non-expert users can apply the particular combination of well-established and novel algorithms developed by us and others that are best suited for each individual assay type. In addition, our data exploration and visualization modules make it easy to discover or select specific cell phenotypes from a heterogeneous population. AVAILABILITY: CellAnimation is distributed under the Creative Commons Attribution-NonCommercial 3.0 Unported license (http://creativecommons.org/licenses/by-nc/3.0/). CellAnimationsource code and documentation may be downloaded from www.vanderbilt.edu/viibre/software/documents/CellAnimation.zip. Sample data are available at www.vanderbilt.edu/viibre/software/documents/movies.zip. CONTACT: walter.georgescu@vanderbilt.edu SUPPLEMENTARY INFORMATION: Supplementary data available at Bioinformatics online.

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Mesh:

Year:  2011        PMID: 22121157      PMCID: PMC3244774          DOI: 10.1093/bioinformatics/btr633

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging.

Authors:  Michael Held; Michael H A Schmitz; Bernd Fischer; Thomas Walter; Beate Neumann; Michael H Olma; Matthias Peter; Jan Ellenberg; Daniel W Gerlich
Journal:  Nat Methods       Date:  2010-08-08       Impact factor: 28.547

2.  CellTrack: an open-source software for cell tracking and motility analysis.

Authors:  Ahmet Sacan; Hakan Ferhatosmanoglu; Huseyin Coskun
Journal:  Bioinformatics       Date:  2008-05-29       Impact factor: 6.937

3.  Epitope mapping of function-blocking monoclonal antibody CM6 suggests a "weak" integrin binding site on the laminin-332 LG2 domain.

Authors:  Hironobu Yamashita; Meiling Shang; Manisha Tripathi; Jerome Jourquin; Walter Georgescu; Shanshan Liu; Brandy Weidow; Vito Quaranta
Journal:  J Cell Physiol       Date:  2010-06       Impact factor: 6.384

4.  Single-cell quantification of molecules and rates using open-source microscope-based cytometry.

Authors:  Andrew Gordon; Alejandro Colman-Lerner; Tina E Chin; Kirsten R Benjamin; Richard C Yu; Roger Brent
Journal:  Nat Methods       Date:  2007-01-21       Impact factor: 28.547

5.  Image segmentation and dynamic lineage analysis in single-cell fluorescence microscopy.

Authors:  Quanli Wang; Jarad Niemi; Chee-Meng Tan; Lingchong You; Mike West
Journal:  Cytometry A       Date:  2010-01       Impact factor: 4.355

6.  Trait variability of cancer cells quantified by high-content automated microscopy of single cells.

Authors:  Vito Quaranta; Darren R Tyson; Shawn P Garbett; Brandy Weidow; Mark P Harris; Walter Georgescu
Journal:  Methods Enzymol       Date:  2009       Impact factor: 1.600

7.  Automated cell lineage tracing in Caenorhabditis elegans.

Authors:  Zhirong Bao; John I Murray; Thomas Boyle; Siew Loon Ooi; Matthew J Sandel; Robert H Waterston
Journal:  Proc Natl Acad Sci U S A       Date:  2006-02-13       Impact factor: 11.205

8.  CellProfiler: image analysis software for identifying and quantifying cell phenotypes.

Authors:  Anne E Carpenter; Thouis R Jones; Michael R Lamprecht; Colin Clarke; In Han Kang; Ola Friman; David A Guertin; Joo Han Chang; Robert A Lindquist; Jason Moffat; Polina Golland; David M Sabatini
Journal:  Genome Biol       Date:  2006-10-31       Impact factor: 13.583

  8 in total
  10 in total

1.  The formation of tight tumor clusters affects the efficacy of cell cycle inhibitors: a hybrid model study.

Authors:  Munju Kim; Damon Reed; Katarzyna A Rejniak
Journal:  J Theor Biol       Date:  2014-03-05       Impact factor: 2.691

2.  Quantifying heterogeneity and dynamics of clonal fitness in response to perturbation.

Authors:  Peter L Frick; Bishal B Paudel; Darren R Tyson; Vito Quaranta
Journal:  J Cell Physiol       Date:  2015-07       Impact factor: 6.384

3.  Image-Based Tracking of Heterogeneous Single-Cell Phenotypes.

Authors:  Katherin Patsch; Shannon M Mumenthaler; Daniel Ruderman
Journal:  Methods Mol Biol       Date:  2018

4.  Characterizing the DNA Damage Response by Cell Tracking Algorithms and Cell Features Classification Using High-Content Time-Lapse Analysis.

Authors:  Walter Georgescu; Alma Osseiran; Maria Rojec; Yueyong Liu; Maxime Bombrun; Jonathan Tang; Sylvain V Costes
Journal:  PLoS One       Date:  2015-06-24       Impact factor: 3.240

5.  Automated analysis of cell-matrix adhesions in 2D and 3D environments.

Authors:  Joshua A Broussard; Nicole L Diggins; Stephen Hummel; Walter Georgescu; Vito Quaranta; Donna J Webb
Journal:  Sci Rep       Date:  2015-01-29       Impact factor: 4.379

6.  Single cell dynamic phenotyping.

Authors:  Katherin Patsch; Chi-Li Chiu; Mark Engeln; David B Agus; Parag Mallick; Shannon M Mumenthaler; Daniel Ruderman
Journal:  Sci Rep       Date:  2016-10-06       Impact factor: 4.379

7.  Influence of Stress and Antibiotic Resistance on Cell-Length Distribution in Mycobacterium tuberculosis Clinical Isolates.

Authors:  Srinivasan Vijay; Dao N Vinh; Hoang T Hai; Vu T N Ha; Vu T M Dung; Tran D Dinh; Hoang N Nhung; Trinh T B Tram; Bree B Aldridge; Nguyen T Hanh; Do D A Thu; Nguyen H Phu; Guy E Thwaites; Nguyen T T Thuong
Journal:  Front Microbiol       Date:  2017-11-21       Impact factor: 5.640

8.  A Predictive Mathematical Modeling Approach for the Study of Doxorubicin Treatment in Triple Negative Breast Cancer.

Authors:  Matthew T McKenna; Jared A Weis; Stephanie L Barnes; Darren R Tyson; Michael I Miga; Vito Quaranta; Thomas E Yankeelov
Journal:  Sci Rep       Date:  2017-07-18       Impact factor: 4.379

Review 9.  Cell and small animal models for phenotypic drug discovery.

Authors:  Mihaly Szabo; Sara Svensson Akusjärvi; Ankur Saxena; Jianping Liu; Gayathri Chandrasekar; Satish S Kitambi
Journal:  Drug Des Devel Ther       Date:  2017-06-28       Impact factor: 4.162

10.  ACDC: Automated Cell Detection and Counting for Time-Lapse Fluorescence Microscopy.

Authors:  Leonardo Rundo; Andrea Tangherloni; Darren R Tyson; Riccardo Betta; Carmelo Militello; Simone Spolaor; Marco S Nobile; Daniela Besozzi; Alexander L R Lubbock; Vito Quaranta; Giancarlo Mauri; Carlos F Lopez; Paolo Cazzaniga
Journal:  Appl Sci (Basel)       Date:  2020-09-06       Impact factor: 2.679

  10 in total

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