Deconvolution of light sheet microscopy recordings

被引：35

作者：

Becker, Klaus ^{[1
,2
]}

Saghafi, Saiedeh ^{[1
]}

Pende, Marko ^{[1
,2
]}

Sabdyusheva-Litschauer, Inna ^{[1
,2
]}

Hahn, Christian M. ^{[2
]}

Foroughipour, Massih ^{[1
,2
]}

Jaehrling, Nina ^{[1
,2
]}

Dodt, Hans-Ulrich ^{[1
,2
]}

机构：

[1] TU Wien, FKE, Dept Bioelect, Vienna, Austria

[2] Med Univ Vienna, Ctr Brain Res, Vienna, Austria

来源：

SCIENTIFIC REPORTS | 2019年 / 9卷 / 1期

基金：

奥地利科学基金会;

关键词：

FLUORESCENCE MICROSCOPY; WIDE-FIELD; RESOLUTION; ULTRAMICROSCOPY;

D O I：

10.1038/s41598-019-53875-y

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We developed a deconvolution software for light sheet microscopy that uses a theoretical point spread function, which we derived from a model of image formation in a light sheet microscope. We show that this approach provides excellent blur reduction and enhancement of fine image details for image stacks recorded with low magnification objectives of relatively high NA and high field numbers as e.g. 2x NA 0.14 FN 22, or 4x NA 0.28 FN 22. For these objectives, which are widely used in light sheet microscopy, sufficiently resolved point spread functions that are suitable for deconvolution are difficult to measure and the results obtained by common deconvolution software developed for confocal microscopy are usually poor. We demonstrate that the deconvolutions computed using our point spread function model are equivalent to those obtained using a measured point spread function for a 10x objective with NA 0.3 and for a 20x objective with NA 0.45.

引用

页数：14

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