Plug-and-play lens simplifies adaptive optics for microscopy

Date:
June 24, 2020
Source:
The Optical Society
Summary:
Researchers have developed a new plug-and-play device that
can add adaptive optics correction to commercial optical
microscopes. Adaptive optics can greatly improve the quality of
images acquired deep into biological samples, but has, until now,
been extremely complex to implement.



FULL STORY ========================================================================== Researchers have developed a new plug-and-play device that can add
adaptive optics correction to commercial optical microscopes. Adaptive
optics can greatly improve the quality of images acquired deep into
biological samples, but has, until now, been extremely complex to
implement.


========================================================================== "Improving the technology available to life scientists can further our understanding of biology, which will, in turn, lead to better drugs and therapies available to doctors," said research team leader, Paolo Pozzi
from the University of Modena and Reggio Emilia in Italy.

In The Optical Society (OSA) journal Optics Letters, Pozzi and a multidisciplinary team of researchers from Delft University of Technology
(TU Delft), CNR-Institute for Photonics and Nanotechnology (CNR-IFL)
and University Medical Center Rotterdam describe their new adaptive lens device. They also show how it can be easily installed onto the objective
lens of a commercial multiphoton microscope to improve image quality.

"This approach will allow advanced optical techniques such as multiphoton microscopy to image deeper under the surface of the brain in live
organisms," said Stefano Bonora, group leader at the CNR-IFL. "We look
forward to seeing how it might also be implemented in other systems,
such as light-sheet microscopes, super-resolution systems, or even
simple epifluorescence microscopes." Imaging deeper Optical microscopy
can be used to image biological samples in natural conditions, making
it possible to observe various biological processes over time. However,
as light travels through tissue it gets distorted. This distortion gets
worse as light travels deeper into tissue, causing images to look blurry
and obscuring important details.



========================================================================== Adaptive optics, a technology initially developed to compensate for
atmospheric turbulence when using telescopes to view celestial objects,
can be used to correct the optical aberrations that occur when imaging
through thick tissue.

However, doing so typically requires building a custom microscope that incorporates a deformable mirror. This mirror is used to compensate for
the distortions, creating an image that looks sharp and clear.

"Including a deformable mirror in an existing microscope is nearly
impossible, and no commercial adaptive microscope is available on the
market yet," said Pozzi. "This means that the only option for a life
scientist to use adaptive optics is to build the entire microscope from scratch, an operation which is too difficult and time consuming for most
life sciences laboratories." A simpler approach To simplify this setup,
the researchers created a smart lens made with glass so thin it can bend without breaking. The lens consists of a glass disk-shaped container
filled with a transparent liquid. A set of 18 mechanical actuators on
the glass edges can be controlled with a computer to bend the glass to
a desired shape.

The lens functions like the deformable mirror used in most adaptive
optics setups, but instead of reflecting light, it transmits light. As
light travels through the liquid inside the lens, it gets distorted
differently depending on the shape of the lens. "This is similar to the distorted images you see when looking through a bottle of water while
squishing it with your hands," said Bonora.



========================================================================== Using the lens for adaptive optics correction requires a complex algorithm
to control the actuators. "Efficient optical correction was made possible
by the DONE algorithm (database online nonlinear extremum-seeker),
a very elegant solution based on machine learning-like principles,
which we previously developed at TU Delft," said Pozzi.

Quick results The researchers tested the new software, which is also
made available to others via github, and adaptive lens by applying it to
the objective lens of a commercial multiphoton microscope. They used the microscope to perform calcium imaging on the brains of living mice, one
of the most complex life science experiments performed with microscopes.

"We surpassed our expectations by achieving very nice results within a few hours," said Pozzi. "This technology can be retrofitted on any existing microscope that has interchangeable objectives and displays images on a computer screen." The researchers are now testing the system on other
types of microscopes and samples while also exploring whether multiple
adaptive lenses could be used to achieve a better correction than is
possible with more complex techniques using deformable mirrors. The team
has also founded a spin-off company, Dynamic Optics srl, to commercialize
the multiactuator adaptive lenses.

The new lens could also be useful for applications beyond microscopy. "Our
new device could also be applied in other fields such as free space
optics communications, where it could increase data connection rates
and bring data connections to remote and isolated areas," said Pozzi.


========================================================================== Story Source: Materials provided by The_Optical_Society. Note: Content
may be edited for style and length.


========================================================================== Journal Reference:
1. P. Pozzi, M. Quintavalla, A. B. Wong, J. G. G. Borst, S. Bonora, M.

Verhaegen. Plug-and-play adaptive optics for commercial laser
scanning fluorescence microscopes based on an adaptive lens. Optics
Letters, 2020; 45 (13): 3585 DOI: 10.1364/OL.396998 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2020/06/200624151546.htm

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