Multi-scale sensorless adaptive optics: application to stimulated emission depletion microscopy

Antonello, Jacopo; Barbotin, Aurélien; Chong, Ee Zhuan; Rittscher, Jens; Booth, Martin J.

doi:10.1364/oe.393363

Cited by 18 publications

(17 citation statements)

References 35 publications

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“…Beyond the open-ended task of expanding the existing suite of phase acquisition techniques and image quality metrics, there are a number of future developments that could be made to Microscope-AOtools. There does not currently exist a universal image quality metric, although strides have been made in that direction [ 38 ]. Image quality metrics attempt to assign a numerical value for how ‘good’ an image is, but what makes a ‘good’ image varies between imaging modalities, sample type and even users.…”

Section: Discussionmentioning

confidence: 99%

Microscope-AOtools: a generalised adaptive optics implementation

Hall¹,

Titlow²,

Booth³

et al. 2020

Opt. Express

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Aberrations arising from sources such as sample heterogeneity and refractive index mismatches are constant problems in biological imaging. These aberrations reduce image quality and the achievable depth of imaging, particularly in super-resolution microscopy techniques. Adaptive optics (AO) technology has been proven to be effective in correcting for these aberrations, thereby improving the image quality. However, it has not been widely adopted by the biological imaging community due, in part, to difficulty in setup and operation of AO. The methods for doing so are not novel or unknown, but new users often waste time and effort reimplementing existing methods for their specific setups , hardware, sample types, etc. Microscope-AOtools offers a robust, easy-to-use implementation of the essential methods for setup and use of AO elements and techniques. These methods are constructed in a generalised manner that can utilise a range of adaptive optics elements, wavefront sensing techniques and sensorless AO correction methods. Furthermore, the methods are designed to be easily extensible as new techniques arise, leading to a streamlined pipeline for new AO technology and techniques to be adopted by the wider microscopy community.

show abstract

Section: Discussionmentioning

confidence: 99%

Microscope-AOtools: a generalised adaptive optics implementation

Hall¹,

Titlow²,

Booth³

et al. 2020

Opt. Express

Self Cite

View full text Add to dashboard Cite

show abstract

“…There does not currently exist a universal image quality metric, although strides have been made in that direction. [29] Image quality metrics attempt to assign a numerical value for how 'good' an image is, but what makes a 'good' image varies between imaging modalities, sample type and even users. Most metrics pick some aspect of the image deemed to be significant (e.g.…”

Section: Discussionmentioning

confidence: 99%

Microscope-AOtools: A generalised adaptive optics implementation

Hall

Titlow

Booth

et al. 2020

Preprint

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Microscope-AOtools is a software package which allows for a simple, robust and generalised implementation of adaptive optics (AO) elements. It contains all the necessary methods for set-up, calibration, and aberration correction which are simple to use and function in a robust manner. Aberrations arising from sources such as sample heterogeneity and refractive index mismatches are constant problems in biological imaging. These aberrations reduce image quality and the achievable depth of imaging, particularly in super-resolution microscopy techniques. AO technology has been proven to be effective in correcting for these aberrations and thereby improving the image quality. However, it has not been widely adopted by the biological imaging community due, in part, to difficulty in set-up and operation of AO, particularly by non-specialist users. Microscope-AOtools offers a robust, easy-to-use implementation of the essential methods for set-up and use of AO techniques. These methods are constructed in a generalised manner that can utilise a range of adaptive optics elements, wavefront sensing techniques and sensorless AO correction methods. Furthermore, the methods are designed to be easily extensible as new techniques arise, leading to a streamlined pipeline for new AO technology and techniques to be adopted by the wider microscopy community.

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“…Full volume super‐resolution imaging of thick mitotic spindle can be achieved by using 3D AO STED microscope (thickness > 10 μm, lateral resolution < 50 nm and axial resolution < 160 nm) (Zdankowski, McGloin, & Swedlow, 2019). By using multi‐scale sensorless adaptive optics, STED can achieves 14 μm imaging depth (Antonello, Barbotin, Chong, Rittscher, & Booth, 2020). 3D AO STED microscopy achieves high‐quality imaging of the full volume of a 15 μm mitotic spindle with resolution of 50 nm × 50 nm × 150 nm (Zdankowski et al, 2019).…”

Section: Z Dimensionmentioning

confidence: 99%

Stimulated emission depletion microscopy for biological imaging in four dimensions: A review

2021

Microscopy Res & Technique

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Stimulated emission depletion (STED) microscopy allows high lateral and axial resolution, long term imaging in living cells. Here we review recent technical advances in STED microscopy, with emphasis on resolution and measurement range of XYZt four dimensions. Different STED technical advances and novel STED probes are discussed with their respective application in biological subcellular imaging. This review may serve as a practical guide for choosing a suitable approach to the advanced STED super‐resolution imaging.

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Multi-scale sensorless adaptive optics: application to stimulated emission depletion microscopy

Cited by 18 publications

References 35 publications

Microscope-AOtools: a generalised adaptive optics implementation

Microscope-AOtools: a generalised adaptive optics implementation

Microscope-AOtools: A generalised adaptive optics implementation

Stimulated emission depletion microscopy for biological imaging in four dimensions: A review

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