A three-dimensional Bayesian reconstruction method with the point spread function for micro-rotation sequences in wide-field microscopy

Author

Laksameethanasan, D. ; Brandt, S.S. ; Engelhardt, P.

Author_Institution

Lab. of Comput. Eng., Helsinki Univ. of Technol.

fYear

2006

fDate

6-9 April 2006

Firstpage

1276

Lastpage

1279

Abstract

In this paper, we present a three-dimensional (3D) reconstruction algorithm for light microscopy supplied with a microrotation device. In contrast to the traditional optical sectioning techniques where the focal plane is shifted along the optical axis, in micro-rotation imaging, the object rotates where the focal plane is kept in a fixed position. Our reconstruction algorithm is based on Bayesian inversion theory where the imaging model is described by the 3D point spread function (PSF). The results show that the approach is promising for 3D reconstruction of rotating objects in wide-field light microscopy, as an improvement for the effective 3D resolution is provided

Keywords

Bayes methods; biomedical optical imaging; image reconstruction; medical image processing; optical microscopy; optical transfer function; 3D resolution; Bayesian inversion theory; microrotation sequences; optical sectioning; point spread function; three-dimensional Bayesian reconstruction method; wide-field light microscopy; wide-field microscopy; Bayesian methods; Biomedical optical imaging; Cells (biology); Fluorescence; Image reconstruction; Optical imaging; Optical microscopy; Optical recording; Reconstruction algorithms; Sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-9576-X

Type

conf

DOI

10.1109/ISBI.2006.1625158

Filename

1625158