Overview of Adaptive Optics in Biological Imaging

2013 ◽  
pp. 111-124
Keyword(s):  
Adaptive Optics ◽  
Biological Imaging

scholarly journals Microscope-AOtools: A generalised adaptive optics implementation

2020 ◽  
Author(s):  
Nicholas Hall ◽  
Josh Titlow ◽  
Martin J. Booth ◽  
Ian M. Dobbie
Keyword(s):  
Image Quality ◽  
Adaptive Optics ◽  
Super Resolution ◽  
Biological Imaging ◽  
New Techniques ◽  
Reduce Image Quality ◽  
Set Up ◽  
And Function ◽  
Microscopy Techniques ◽  
Super Resolution Microscopy

AbstractMicroscope-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 hetero-geneity 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.

scholarly journals Computational adaptive optics for live three-dimensional biological imaging

2001 ◽  
Vol 98 (7) ◽  
pp. 3790-3795 ◽  
Author(s):  
Z. Kam ◽  
B. Hanser ◽  
M. G. L. Gustafsson ◽  
D. A. Agard ◽  
J. W. Sedat
Keyword(s):  
Adaptive Optics ◽  
Three Dimensional ◽  
Biological Imaging

scholarly journals Adaptive optics for biological imaging

2010 ◽  
Vol 8 (1) ◽  
pp. 45-45 ◽  
Author(s):  
Erika Pastrana
Keyword(s):  
Adaptive Optics ◽  
Biological Imaging

Biological Imaging and Adaptive Optics in Microscopy

2013 ◽  
pp. 299-313
Author(s):  
Elijah Yew ◽  
Jae Cha ◽  
Jerome Ballesta ◽  
Peter So
Keyword(s):  
Adaptive Optics ◽  
Biological Imaging

scholarly journals High-NA open-top selective-plane illumination microscopy for biological imaging

2017 ◽  
Author(s):  
Ryan McGorty ◽  
Dan Xie ◽  
Bo Huang
Keyword(s):  
Adaptive Optics ◽  
Biological Sample ◽  
Spatial Configuration ◽  
Numerical Aperture ◽  
Biological Imaging ◽  
Imaging Systems ◽  
Optical Components ◽  
Volumetric Imaging ◽  
Selective Plane Illumination Microscopy ◽  
Living Organisms

Abstract:Selective-plane illumination microscopy (SPIM) provides unparalleled advantages for volumetric imaging of living organisms over extended times. However, the spatial configuration of a SPIM system often limits its compatibility with many widely used biological sample holders such as multi-well chambers and plates. To solve this problem, we developed a high numerical aperture (NA) open-top configuration that places both the excitation and detection objectives on the opposite of the sample coverglass. We carried out a theoretical calculation to analyze the structure of the system-induced aberrations. We then experimentally compensated the system aberrations using adaptive optics combined with static optical components, demonstrating near-diffraction-limited performance in imaging fluorescently labeled cells.© 2017 Optical Society of AmericaOCIS codes: (080.080) Geometric Optics; (110.0110) Imaging systems; (110.0180) Microscopy.

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