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Optical Flow For Live Cell Imaging PDF Print
Article Index
Optical Flow For Live Cell Imaging
Optical Flow Methods
Ground Truth Image Series Generator
Motion Tracking Application
Related Publications

Motivation

The progress in staining of living cells together with advances in confocal microscopy devices has allowed detailed studies of the behavior of intracellular components including the structures inside the cell nucleus. The typical number of investigated cells in one study varies from tens to hundreds in order to achieve a reasonable statistical significance of the result. One gets time-lapse series of two or three dimensional images as an output from the microscope. The manual analysis of such large data sets is very inconvenient and annoying. This is especially true for 3D series. Moreover, there is no guarantee on the accuracy of the result. Therefore, there is a natural demand for computer vision methods which can help with the analysis of time-lapse image series. Estimation or correction of global as well as local motion belongs to the main tasks in this field.

We have implemented the latest optical flow methods which we use for local motion estimation in live-cell image series. Up to our best knowledge, nobody has investigated the application of the state-of-the-art methods in the field of live-cell imaging yet.

 

Project Objectives

  • The first goal is to implement wide range of state-of-the-art optical flow methods suitable for motion estimation in 2D and 3D live-cell image series.

  • The second goal is to rigorously compare the accuracy of tested methods.

  • The third goal is to implement a motion tracking application which will use selected optical flow methods for the motion estimation.


Availability

The library and tools are available under the GNU GPL from the CBIA web pages.



Written by Vladimír Ulman   
Last Updated ( Wednesday, 19 September 2012 )
 
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