A Landweber algorithm for 3D confocal microscopy restoration

Daan Zhu; Moe Razaz; Richard Lee

doi:10.1109/ICPR.2004.1334197

A Landweber algorithm for 3D confocal microscopy restoration

Daan Zhu, Moe Razaz, Richard Lee

School of Computing Sciences

Research output: Contribution to conference › Other

2 Citations (Scopus)

Abstract

A new Landweber algorithm for 3D microscopy deconvolution is introduced in this paper. The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative de-convolution algorithm (IDA). The experimental results show that the Landweber algorithm can effectively suppress background noise and remove asymmetric point spread function (PSF) degradation. Finally, a typical real 3D confocal image is restored by the Landweber algorithm and the results are compared with IDA.

Original language	English
Pages	552-555
Number of pages	4
DOIs	https://doi.org/10.1109/ICPR.2004.1334197
Publication status	Published - 2004
Event	17th International Conference on Pattern Recognition - Cambridge, United Kingdom Duration: 23 Aug 2004 → 26 Aug 2004

Conference

Conference	17th International Conference on Pattern Recognition
Abbreviated title	ICPR-2004
Country/Territory	United Kingdom
City	Cambridge
Period	23/08/04 → 26/08/04

Access to Document

10.1109/ICPR.2004.1334197

http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334197

Cite this

@conference{68ab3850a82b40f7bf0e861f8271fa6b,

title = "A Landweber algorithm for 3D confocal microscopy restoration",

abstract = "A new Landweber algorithm for 3D microscopy deconvolution is introduced in this paper. The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative de-convolution algorithm (IDA). The experimental results show that the Landweber algorithm can effectively suppress background noise and remove asymmetric point spread function (PSF) degradation. Finally, a typical real 3D confocal image is restored by the Landweber algorithm and the results are compared with IDA.",

author = "Daan Zhu and Moe Razaz and Richard Lee",

year = "2004",

doi = "10.1109/ICPR.2004.1334197",

language = "English",

pages = "552--555",

note = "17th International Conference on Pattern Recognition, ICPR-2004 ; Conference date: 23-08-2004 Through 26-08-2004",

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T1 - A Landweber algorithm for 3D confocal microscopy restoration

AU - Zhu, Daan

AU - Razaz, Moe

AU - Lee, Richard

PY - 2004

Y1 - 2004

N2 - A new Landweber algorithm for 3D microscopy deconvolution is introduced in this paper. The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative de-convolution algorithm (IDA). The experimental results show that the Landweber algorithm can effectively suppress background noise and remove asymmetric point spread function (PSF) degradation. Finally, a typical real 3D confocal image is restored by the Landweber algorithm and the results are compared with IDA.

AB - A new Landweber algorithm for 3D microscopy deconvolution is introduced in this paper. The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative de-convolution algorithm (IDA). The experimental results show that the Landweber algorithm can effectively suppress background noise and remove asymmetric point spread function (PSF) degradation. Finally, a typical real 3D confocal image is restored by the Landweber algorithm and the results are compared with IDA.

U2 - 10.1109/ICPR.2004.1334197

DO - 10.1109/ICPR.2004.1334197

M3 - Other

SP - 552

EP - 555

T2 - 17th International Conference on Pattern Recognition

Y2 - 23 August 2004 through 26 August 2004

ER -