Three-dimensional state space realization algorithm: Noise suppression of fluorescence microscopy images and point spread functions
Three-dimensional state space realization algorithm: Noise suppression of fluorescence microscopy images and point spread functions
A recently developed algorithm is applied to calculate a state space realization of a 3D microscopy 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 this algorithm, combined with approximation steps, can be used to suppress noise in 3D experimental point spread functions. The approach was motivated by a well known problem that a noisy point spread function degrades the results of deconvolution algorithms for the restoration of 3D fluorescence microscopy image sets. The proposed approach can also be applied to 3D fluorescence microscopy image sets of cells.
Estimation, Noise suppression, Point spread function, State space algorithm
53-60
Lai, Xuming
b0521079-5b4e-4939-ab03-0d0bb5a0e022
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Lin, Zhiping
9b046adc-5fd0-4f26-a722-4e72598ecd9f
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
2005
Lai, Xuming
b0521079-5b4e-4939-ab03-0d0bb5a0e022
Ward, E. Sally
b31c0877-8abe-485f-b800-244a9d3cd6cc
Lin, Zhiping
9b046adc-5fd0-4f26-a722-4e72598ecd9f
Ober, Raimund J.
31f4d47f-fb49-44f5-8ff6-87fc4aff3d36
Lai, Xuming, Ward, E. Sally, Lin, Zhiping and Ober, Raimund J.
(2005)
Three-dimensional state space realization algorithm: Noise suppression of fluorescence microscopy images and point spread functions.
In Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XII.
vol. 5701,
SPIE.
.
(doi:10.1117/12.587051).
Record type:
Conference or Workshop Item
(Paper)
Abstract
A recently developed algorithm is applied to calculate a state space realization of a 3D microscopy 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 this algorithm, combined with approximation steps, can be used to suppress noise in 3D experimental point spread functions. The approach was motivated by a well known problem that a noisy point spread function degrades the results of deconvolution algorithms for the restoration of 3D fluorescence microscopy image sets. The proposed approach can also be applied to 3D fluorescence microscopy image sets of cells.
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Published date: 2005
Keywords:
Estimation, Noise suppression, Point spread function, State space algorithm
Identifiers
Local EPrints ID: 424097
URI: http://eprints.soton.ac.uk/id/eprint/424097
PURE UUID: a2d3aaef-cbb2-4298-a469-a460043fffc2
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Date deposited: 04 Oct 2018 16:30
Last modified: 06 Jun 2024 02:04
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Contributors
Author:
Xuming Lai
Author:
Zhiping Lin
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