Exploring the Potential of Airyscan Microscopy for Live Cell Imaging
Biological research increasingly demands the use of non-invasive and ultra-sensitive imaging techniques. The Airyscan technology was recently developed to bridge the gap between conventional confocal and super-resolution microscopy. This technique combines confocal imaging with a 0.2 Airy Unit pinho...
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MDPI AG
2017-07-01
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Series: | Photonics |
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Online Access: | https://www.mdpi.com/2304-6732/4/3/41 |
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author | Kseniya Korobchevskaya B. Christoffer Lagerholm Huw Colin-York Marco Fritzsche |
author_facet | Kseniya Korobchevskaya B. Christoffer Lagerholm Huw Colin-York Marco Fritzsche |
author_sort | Kseniya Korobchevskaya |
collection | DOAJ |
description | Biological research increasingly demands the use of non-invasive and ultra-sensitive imaging techniques. The Airyscan technology was recently developed to bridge the gap between conventional confocal and super-resolution microscopy. This technique combines confocal imaging with a 0.2 Airy Unit pinhole, deconvolution and the pixel-reassignment principle in order to enhance both the spatial resolution and signal-to-noise-ratio without increasing the excitation power and acquisition time. Here, we present a detailed study evaluating the performance of Airyscan as compared to confocal microscopy by imaging a variety of reference samples and biological specimens with different acquisition and processing parameters. We found that the processed Airyscan images at default deconvolution settings have a spatial resolution similar to that of conventional confocal imaging with a pinhole setting of 0.2 Airy Units, but with a significantly improved signal-to-noise-ratio. Further gains in the spatial resolution could be achieved by the use of enhanced deconvolution filter settings, but at a steady loss in the signal-to-noise ratio, which at more extreme settings resulted in significant data loss and image distortion. |
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format | Article |
id | doaj.art-d7f802a6fb3a40249c24705137e0f2b9 |
institution | Directory Open Access Journal |
issn | 2304-6732 |
language | English |
last_indexed | 2024-12-20T22:36:27Z |
publishDate | 2017-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Photonics |
spelling | doaj.art-d7f802a6fb3a40249c24705137e0f2b92022-12-21T19:24:35ZengMDPI AGPhotonics2304-67322017-07-01434110.3390/photonics4030041photonics4030041Exploring the Potential of Airyscan Microscopy for Live Cell ImagingKseniya Korobchevskaya0B. Christoffer Lagerholm1Huw Colin-York2Marco Fritzsche3Kennedy Institute for Rheumatology, Roosevelt Drive, University of Oxford, Oxford OX3 7LF, UKWolfson Imaging Centre, Weatherall Institute of Molecular Medicine, University of Oxford, Headley Way, Oxford OX3 9DS, UKMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Headley Way, Oxford OX3 9DS, UKKennedy Institute for Rheumatology, Roosevelt Drive, University of Oxford, Oxford OX3 7LF, UKBiological research increasingly demands the use of non-invasive and ultra-sensitive imaging techniques. The Airyscan technology was recently developed to bridge the gap between conventional confocal and super-resolution microscopy. This technique combines confocal imaging with a 0.2 Airy Unit pinhole, deconvolution and the pixel-reassignment principle in order to enhance both the spatial resolution and signal-to-noise-ratio without increasing the excitation power and acquisition time. Here, we present a detailed study evaluating the performance of Airyscan as compared to confocal microscopy by imaging a variety of reference samples and biological specimens with different acquisition and processing parameters. We found that the processed Airyscan images at default deconvolution settings have a spatial resolution similar to that of conventional confocal imaging with a pinhole setting of 0.2 Airy Units, but with a significantly improved signal-to-noise-ratio. Further gains in the spatial resolution could be achieved by the use of enhanced deconvolution filter settings, but at a steady loss in the signal-to-noise ratio, which at more extreme settings resulted in significant data loss and image distortion.https://www.mdpi.com/2304-6732/4/3/41Airyscanmicroscopyconfocal and super-resolution microscopysignal-to-noise-ratio |
spellingShingle | Kseniya Korobchevskaya B. Christoffer Lagerholm Huw Colin-York Marco Fritzsche Exploring the Potential of Airyscan Microscopy for Live Cell Imaging Photonics Airyscan microscopy confocal and super-resolution microscopy signal-to-noise-ratio |
title | Exploring the Potential of Airyscan Microscopy for Live Cell Imaging |
title_full | Exploring the Potential of Airyscan Microscopy for Live Cell Imaging |
title_fullStr | Exploring the Potential of Airyscan Microscopy for Live Cell Imaging |
title_full_unstemmed | Exploring the Potential of Airyscan Microscopy for Live Cell Imaging |
title_short | Exploring the Potential of Airyscan Microscopy for Live Cell Imaging |
title_sort | exploring the potential of airyscan microscopy for live cell imaging |
topic | Airyscan microscopy confocal and super-resolution microscopy signal-to-noise-ratio |
url | https://www.mdpi.com/2304-6732/4/3/41 |
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