Integrating image analysis algorithms in a web interface for the quantification of microtubule dynamics | Zendy

Koon Yin Kong | Zendy; Adam I. Marcus | Zendy; Paraskevi Giannakakou | Zendy; May D. Wang | Zendy

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Integrating image analysis algorithms in a web interface for the quantification of microtubule dynamics

Author(s) -

Koon Yin Kong,

Adam I. Marcus,

Paraskevi Giannakakou,

May D. Wang

Publication year - 2012

Publication title -

international journal of computational biology and drug design

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.107

H-Index - 13

eISSN - 1756-0764

pISSN - 1756-0756

DOI - 10.1504/ijcbdd.2012.049211

Subject(s) - workflow , interface (matter) , computer science , data mining , image (mathematics) , tracking (education) , algorithm , artificial intelligence , database , parallel computing , psychology , pedagogy , bubble , maximum bubble pressure method

We present improvements to a web interface and an integrated computational tracking algorithm for quantitative analysis of microtubule dynamics in live-cell microscopy images. Based on a previously implemented system, more new functionalities have been added to the interface. The system also integrates a computational tracking algorithm to aid the analysis. The analysis workflow of the proposed interface is made similar to the current manual analysis workflow in order to make the interface intuitive to use. We show the workflow of the computer analysis algorithm and how it is used to aid the existing analysis workflow. We also demonstrate how to re-evaluate existing data in a case study using real imaging data. Lastly, we show the added functionalities of the interface including how to share image data and analysis results.

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