Motion detection and pattern tracking in microscopical images using phase correlation approach

Evgeny Gladilin; Constantin Kappel; Roland Eils

doi:10.1117/12.698141

8 March 2007 Motion detection and pattern tracking in microscopical images using phase correlation approach

Evgeny Gladilin, Constantin Kappel, Roland Eils

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65121V (2007) https://doi.org/10.1117/12.698141
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

High-throughput live-cell imaging is one of the important tools for the investigation of cellular structure and functions in modern experimental biology. Automatic processing of time series of microscopic images is hampered by a number of technical and natural factors such as permanent movements of cells in the optical field, alteration of optical cell appearance and high level of noise. Detection and compensation of global motion of groups of cells or relocation of a single cell within a dynamical multi-cell environment is the first indispensable step in the image analysis chain. This article presents an approach for detection of global image motion and single cell tracking in time series of confocal laser scanning microscopy images using an extended Fourier-phase correlation technique, which allows for analysis of non-uniform multi-body motion in partially-similar images. Our experimental results have shown that the developed approach is capable to perform cell tracking and registration in dynamical and noisy scenes, and provides a robust tool for fully-automatic registration of time-series of microscopic images.

Citation Download Citation

Evgeny Gladilin, Constantin Kappel, and Roland Eils "Motion detection and pattern tracking in microscopical images using phase correlation approach", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65121V (8 March 2007); https://doi.org/10.1117/12.698141

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KEYWORDS

Image registration

Motion detection

Particles

Image analysis

Phase shifts

Green fluorescent protein

Image fusion

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