Literature DB >> 12543067

Quantitative motion analysis and visualization of cellular structures.

Daniel Gerlich1, Julian Mattes, Roland Eils.   

Abstract

The availability of cellular markers tagged with the green fluorescent protein (GFP) has recently allowed a large number of cell biological studies to be carried out in live cells, thereby addressing the dynamic organization of cellular structures. Typically, microscopes capable of video recording are used to generate time-resolved data sets. Dynamic imaging data are complex and often difficult to interpret by pure visual inspection. Therefore, specialized image processing methods for object detection, motion estimation, visualization, and quantitation are required. In this review, we discuss concepts for automated analysis of multidimensional image data from live cell microscopy and their application to the dynamics of cell nuclear subcompartments.

Mesh：

Year:  2003        PMID： 12543067     DOI： 10.1016/s1046-2023(02)00287-6

Source DB:  PubMed          Journal:  Methods        ISSN： 1046-2023            Impact factor:   3.608


  10 in total

Review 1.  Quantitative imaging of protein interactions in the cell nucleus.

Authors:  Ty C Voss; Ignacio A Demarco; Richard N Day
Journal:  Biotechniques       Date:  2005-03       Impact factor: 1.993

2.  pSAT vectors: a modular series of plasmids for autofluorescent protein tagging and expression of multiple genes in plants.

Authors:  Tzvi Tzfira; Guo-Wei Tian; Benoît Lacroix; Shachi Vyas; Jianxiong Li; Yael Leitner-Dagan; Alexander Krichevsky; Tamir Taylor; Alexander Vainstein; Vitaly Citovsky
Journal:  Plant Mol Biol       Date:  2005-03       Impact factor: 4.076

3.  Dissecting the contribution of diffusion and interactions to the mobility of nuclear proteins.

Authors:  Joël Beaudouin; Felipe Mora-Bermúdez; Thorsten Klee; Nathalie Daigle; Jan Ellenberg
Journal:  Biophys J       Date:  2005-12-30       Impact factor: 4.033

4.  Mesodermal cell displacements during avian gastrulation are due to both individual cell-autonomous and convective tissue movements.

Authors:  Evan A Zamir; András Czirók; Cheng Cui; Charles D Little; Brenda J Rongish
Journal:  Proc Natl Acad Sci U S A       Date:  2006-12-18       Impact factor: 11.205

5.  FibrilTool, an ImageJ plug-in to quantify fibrillar structures in raw microscopy images.

Authors:  Arezki Boudaoud; Agata Burian; Dorota Borowska-Wykręt; Magalie Uyttewaal; Roman Wrzalik; Dorota Kwiatkowska; Olivier Hamant
Journal:  Nat Protoc       Date:  2014-01-30       Impact factor: 13.491

6.  Monitoring the cytoskeletal EGF response in live gastric carcinoma cells.

Authors:  Marco Felkl; Kazmar Tomas; Matej Smid; Julian Mattes; Reinhard Windoffer; Rudolf E Leube
Journal:  PLoS One       Date:  2012-09-27       Impact factor: 3.240

7.  Assessment of automated analyses of cell migration on flat and nanostructured surfaces.

Authors:  Cristian Grădinaru; Joanna M Lopacińska; Johannes Huth; Hans A Kestler; Henrik Flyvbjerg; Kristian Mølhave
Journal:  Comput Struct Biotechnol J       Date:  2012-11-21       Impact factor: 7.271

8.  Quantification of mutant E-cadherin using bioimaging analysis of in situ fluorescence microscopy. A new approach to CDH1 missense variants.

Authors:  João Miguel Sanches; Joana Figueiredo; Martina Fonseca; Cecília Durães; Soraia Melo; Sofia Esménio; Raquel Seruca
Journal:  Eur J Hum Genet       Date:  2014-11-12       Impact factor: 4.246

9.  ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations.

Authors:  Quan Liu; Isabella M Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A Millis; Anita Mahadevan-Jansen; Matthew J Tyska; Yuankai Huo
Journal:  Comput Biol Med       Date:  2021-05-31       Impact factor: 6.698

10.  Automated detection and tracking of many cells by using 4D live-cell imaging data.

Authors:  Terumasa Tokunaga; Osamu Hirose; Shotaro Kawaguchi; Yu Toyoshima; Takayuki Teramoto; Hisaki Ikebata; Sayuri Kuge; Takeshi Ishihara; Yuichi Iino; Ryo Yoshida
Journal:  Bioinformatics       Date:  2014-06-15       Impact factor: 6.937
  10 in total

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