SeeVis—3D space-time cube rendering for visualization of microfluidics image data-Reference-Cited by-同舟云学术

SeeVis—3D space-time cube rendering for visualization of microfluidics image data

Published:2018-10-22 Issue:10 Volume:35 Page:1802-1804
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Hattab Georges¹²,Nattkemper Tim W²

Affiliation:

1. International Research Training Group ‘Computational Methods for the Analysis of the Diversity and Dynamics of Genomes’, Faculty of Technology, Bielefeld University, Bielefeld, Germany

2. Biodata Mining Group, Faculty of Technology, Bielefeld University, Bielefeld, Germany

Funder

DFG

International Research Training Group

GRK

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/35/10/1802/28604759/bty889.pdf

Reference14 articles.

1. CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data;Bray;BMC Bioinform.,2015

2. Methods of digital video microscopy for colloidal studies;Crocker;J. Colloid Interface Sci.,1996

3. Vicar: an adaptive and landmark-free registration of time lapse image data from microfluidics experiments;Hattab;Front. Genet.,2017

4. A novel methodology for characterizing cell sub-populations in automated time-lapse microscopy;Hattab;Front. Bioeng. Biotechnol.,2018

5. TLM-Tracker: software for cell segmentation, tracking and lineage analysis in time-lapse microscopy movies;Klein;Bioinformatics,2012

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