Literature DB >> 19660567

Tracking in cell and developmental biology.

Erik Meijering1, Oleh Dzyubachyk, Ihor Smal, Wiggert A van Cappellen.   

Abstract

The past decade has seen an unprecedented data explosion in biology. It has become evident that in order to take full advantage of the potential wealth of information hidden in the data produced by even a single experiment, visual inspection and manual analysis are no longer adequate. To ensure efficiency, consistency, and completeness in data processing and analysis, computational tools are essential. Of particular importance to many modern live-cell imaging experiments is the ability to automatically track and analyze the motion of objects in time-lapse microscopy images. This article surveys the recent literature in this area. Covering all scales of microscopic observation, from cells, down to molecules, and up to entire organisms, it discusses the latest trends and successes in the development and application of computerized tracking methods in cell and developmental biology.

Mesh:

Year:  2009        PMID: 19660567     DOI: 10.1016/j.semcdb.2009.07.004

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  59 in total

1.  Quantifying trophoblast migration: In vitro approaches to address in vivo situations.

Authors:  Joanna James; Win Tun; Alys Clark
Journal:  Cell Adh Migr       Date:  2015-10-19       Impact factor: 3.405

2.  Micro-object motion tracking based on the probability hypothesis density particle tracker.

Authors:  Chunmei Shi; Lingling Zhao; Junjie Wang; Chiping Zhang; Xiaohong Su; Peijun Ma
Journal:  J Math Biol       Date:  2015-06-18       Impact factor: 2.259

Review 3.  Deciphering tissue morphodynamics using bioimage informatics.

Authors:  Alexandre C Dufour; Anneliene H Jonker; Jean-Christophe Olivo-Marin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-05-19       Impact factor: 6.237

Review 4.  Machine learning applications in cell image analysis.

Authors:  Andrey Kan
Journal:  Immunol Cell Biol       Date:  2017-03-15       Impact factor: 5.126

5.  Imagining the future of bioimage analysis.

Authors:  Erik Meijering; Anne E Carpenter; Hanchuan Peng; Fred A Hamprecht; Jean-Christophe Olivo-Marin
Journal:  Nat Biotechnol       Date:  2016-12-07       Impact factor: 54.908

6.  Automated segmentation of cellular images using an effective region force.

Authors:  Khadeejah Mohiuddin; Justin W L Wan
Journal:  J Med Imaging (Bellingham)       Date:  2018-10-16

7.  Optimal-Flow Minimum-Cost Correspondence Assignment in Particle Flow Tracking.

Authors:  Alexandre Matov; Marcus M Edvall; Ge Yang; Gaudenz Danuser
Journal:  Comput Vis Image Underst       Date:  2011-04       Impact factor: 3.876

8.  Quantitative semi-automated analysis of morphogenesis with single-cell resolution in complex embryos.

Authors:  Claudiu A Giurumescu; Sukryool Kang; Thomas A Planchon; Eric Betzig; Joshua Bloomekatz; Deborah Yelon; Pamela Cosman; Andrew D Chisholm
Journal:  Development       Date:  2012-10-10       Impact factor: 6.868

9.  Understanding the phase contrast optics to restore artifact-free microscopy images for segmentation.

Authors:  Zhaozheng Yin; Takeo Kanade; Mei Chen
Journal:  Med Image Anal       Date:  2012-02-03       Impact factor: 8.545

10.  Automated Tracking of Cell Migration with Rapid Data Analysis.

Authors:  Brian J DuChez
Journal:  Curr Protoc Cell Biol       Date:  2017-09-01
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