A state space approach to noise reduction of 3D fluorescent microscopy images
A state space approach to noise reduction of 3D fluorescent microscopy images
An algorithm is presented to calculate a state space realization of a 3D image set. It is based on interpreting the image set as the impulse response of a 3D separable system. As an application it is shown how the approximation steps, including balanced model reduction methods, in the algorithm can be used to suppress noise in 3D image sets. The approach was motivated by a practical problem in the analysis of 3D fluorescent microscopy image data of fluorescently labelled cells.
1153-1156
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
Lai, Xuming
b0521079-5b4e-4939-ab03-0d0bb5a0e022
Lin, Zhiping
9b046adc-5fd0-4f26-a722-4e72598ecd9f
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
2004
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
Lai, Xuming
b0521079-5b4e-4939-ab03-0d0bb5a0e022
Lin, Zhiping
9b046adc-5fd0-4f26-a722-4e72598ecd9f
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Ober, Raimund J., Lai, Xuming, Lin, Zhiping and Ward, E. Sally
(2004)
A state space approach to noise reduction of 3D fluorescent microscopy images.
In 2004 International Conference on Image Processing, 2004. ICIP '04.
vol. 5,
IEEE.
.
(doi:10.1109/ICIP.2004.1419508).
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Conference or Workshop Item
(Paper)
Abstract
An algorithm is presented to calculate a state space realization of a 3D image set. It is based on interpreting the image set as the impulse response of a 3D separable system. As an application it is shown how the approximation steps, including balanced model reduction methods, in the algorithm can be used to suppress noise in 3D image sets. The approach was motivated by a practical problem in the analysis of 3D fluorescent microscopy image data of fluorescently labelled cells.
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Published date: 2004
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Local EPrints ID: 424082
URI: http://eprints.soton.ac.uk/id/eprint/424082
PURE UUID: e2e412d2-0d95-44b6-95d9-30f17fa4214b
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Date deposited: 04 Oct 2018 16:30
Last modified: 06 Jun 2024 02:04
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Author:
Xuming Lai
Author:
Zhiping Lin
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