Fast and automatic reconstruction of structured illumination microscopy images with multiscale products

Author

Tauber, Clovis ; Rodríguez, Pedro Felipe Gardeazábal ; Loriette, Vincent ; Chenouard, Nicolas ; Dubertret, Benoit ; Olivo-Marin, Jean-Christophe

Author_Institution

CNRS, Inst. Pasteur, Paris

fYear

2008

fDate

8-11 Dec. 2008

Firstpage

1

Lastpage

4

Abstract

In this paper, we propose a new method to reconstruct high resolution images from structured illumination microscopy. It consists of estimating the illumination pattern parameters with a multiscale analysis in the Fourier domain and filtering the significative features with a statistical test. Our method is fast and automatic, aiming at being computationally effective for in vivo biomedical applications.

Keywords

Fourier analysis; feature extraction; filtering theory; image resolution; medical image processing; statistical analysis; Fourier domain; Fourier filtering; automatic reconstruction; biomedical applications; high resolution image reconstruction; multiscale products; statistical test; structured illumination microscopy; structured illumination microscopy images; Biomedical computing; Filtering; Image analysis; Image reconstruction; Image resolution; Lighting; Microscopy; Optical noise; Pattern analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Conference_Location

Tampa, FL

ISSN

1051-4651

Print_ISBN

978-1-4244-2174-9

Electronic_ISBN

1051-4651

Type

conf

DOI

10.1109/ICPR.2008.4761453

Filename

4761453