Deconvolution of light sheet microscopy recordings
| Autor: | Inna Sabdyusheva-Litschauer, Massih Foroughipour, Christian Hahn, Klaus Becker, Nina Jährling, Hans-Ulrich Dodt, Marko Pende, Saiedeh Saghafi |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Point spread function Image formation Microscope Materials science Magnification lcsh:Medicine 01 natural sciences Article law.invention Imaging 010309 optics Reduction (complexity) 03 medical and health sciences Optics Image processing law Confocal microscopy 0103 physical sciences lcsh:Science Microscopy Multidisciplinary business.industry lcsh:R 030104 developmental biology Light sheet fluorescence microscopy lcsh:Q Deconvolution business |
| Zdroj: | Scientific Reports Scientific Reports, Vol 9, Iss 1, Pp 1-14 (2019) |
| ISSN: | 2045-2322 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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