Vizardous: interactive analysis of microbial populations with single cell resolution

نویسندگان

  • Stefan Helfrich
  • Charaf E. Azzouzi
  • Christopher Probst
  • Johannes Seiffarth
  • Alexander Grünberger
  • Wolfgang Wiechert
  • Dietrich Kohlheyer
  • Katharina Nöh
چکیده

MOTIVATION Single cell time-lapse microscopy is a powerful method for investigating heterogeneous cell behavior. Advances in microfluidic lab-on-a-chip technologies and live-cell imaging render the parallel observation of the development of individual cells in hundreds of populations possible. While image analysis tools are available for cell detection and tracking, biologists are still confronted with the challenge of exploring and evaluating this data. RESULTS We present the software tool Vizardous that assists scientists with explorative analysis and interpretation tasks of single cell data in an interactive, configurable and visual way. With Vizardous, lineage tree drawings can be augmented with various, time-resolved cellular characteristics. Associated statistical moments bridge the gap between single cell and the population-average level. AVAILABILITY AND IMPLEMENTATION The software, including documentation and examples, is available as executable Java archive as well as in source form at https://github.com/modsim/vizardous. CONTACT [email protected]. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.

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عنوان ژورنال:
  • Bioinformatics

دوره 31 23  شماره 

صفحات  -

تاریخ انتشار 2015