Closed-loop multiconjugate adaptive optics for microscopy

Hampson, Karen M.; Cui, Jiahe; Wincott, Matthew; Lane, Richard S. K.; Hussain, Syed Asad; Banerjee, Kaustubh; Rajaeipour, Pouya; Zappe, Hans; Ataman, Çağlar; Booth, Martin J.

doi:10.1117/12.2544391

Cited by 5 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2(d)], we might find an optimal balance between enhancements of the signal intensity, FOV, and spatial resolution. 75,76 In the brain, despite the relative dense packing of neurons and vasculature, fluorescence microscopy often reveals a sparser distribution particularly when given at a certain color channel, a result of selective fluorescent labeling targeting specific cellular or vascular components or a sparse expression of fluorescence. 26,[77][78][79] Leveraging sparse and compressive sampling or scanning techniques, like acousto-optic deflectors [80][81][82][83] (AOD) and digital micromirror devices 28,84-89 (DMD) [Fig.…”

Section: Opportunities: Bridging the Gapmentioning

confidence: 99%

Neurophotonics beyond the surface: unmasking the brain’s complexity exploiting optical scattering

Xia,

Rimoli,

Akemann

et al. 2024

Neurophoton.

View full text Add to dashboard Cite

The intricate nature of the brain necessitates the application of advanced probing techniques to comprehensively study and understand its working mechanisms. Neurophotonics offers minimally invasive methods to probe the brain using optics at cellular and even molecular levels. However, multiple challenges persist, especially concerning imaging depth, field of view, speed, and biocompatibility. A major hindrance to solving these challenges in optics is the scattering nature of the brain. This perspective highlights the potential of complex media optics, a specialized area of study focused on light propagation in materials with intricate heterogeneous optical properties, in advancing and improving neuronal readouts for structural imaging and optical recordings of neuronal activity. Key strategies include wavefront shaping techniques and computational imaging and sensing techniques that exploit scattering properties for enhanced performance. We discuss the potential merger of the two fields as well as potential challenges and perspectives toward longer term in vivo applications.

show abstract

Section: Opportunities: Bridging the Gapmentioning

confidence: 99%

Neurophotonics beyond the surface: unmasking the brain’s complexity exploiting optical scattering

Xia,

Rimoli,

Akemann

et al. 2024

Neurophoton.

View full text Add to dashboard Cite

show abstract

“…A less commonly employed method is to use multiple correctors, in which each corrector is conjugates to a different layer or depth. This is referred to multiconjugate AO [23][24][25] . This adds significant cost and complexity to an AO system.…”

Section: Figure 1 (A)mentioning

confidence: 99%

Adaptive optics for high-resolution imaging

2021

Nat Rev Methods Primers

View full text Add to dashboard Cite

Adaptive optics (AO), a technique that corrects for optical aberrations, was originally proposed to correct for the blurring effect of atmospheric turbulence on images in ground-based telescopes; indeed, the technique was instrumental in the work that resulted in the discovery of a supermassive compact object at the centre of our galaxy, which was awarded the 2020 Nobel Prize in physics. When AO is used to correct for the eye's imperfect optics, retinal changes at the cellular level can be detected, allowing us to study the operation of the visual system and to assess ocular health in the microscopic domain. By correcting for sample-induced blur in microscopy, it has pushed the boundaries of imaging in thick tissue specimens, such as when observing neuronal processes in the brain. The focus of this primer is the application of AO for high resolution imaging in astronomy, vision science, and microscopy. It begins with an overview of the general principles of AO and its main components, which include methods to measure the aberrations and devices for their correction. These components are linked in operation via a control system. Results and applications from each field are presented, along with reproducibility considerations and limitations. Finally, future directions are discussed. [H1] IntroductionHigh resolution optical imaging relies upon the high fidelity focussing of light. Light can be described in terms of optical fields[G], and thus its properties are parametrized for a given wavelength at each point in space and time in terms of amplitude, phase and polarization. However, these fields can be perturbed (in amplitude, phase and polarization) as they propagate through optical systems and other media, and the performance of the imaging systems can be highly sensitive to those perturbations. For instance, astronomical image quality is limited by atmospheric turbulence; microscopes produce blurred images when samples have a non-uniform refractive index distribution; and ophthalmoscopes that image the back of the eye are detrimentally affected by the eye's imperfect optics. Adaptive optics (AO) is an ensemble of electro-optical and computational methods that aim at recovering the optimal performance of an optical system 1-6 . This has brought benefits to a range of applications. For example, by integrating AO in their telescopes, astronomers have been able to expand the observation of celestial bodies 7 . Implemented into microscopes, AO has enabled neuroscientists to monitor the activity of neurons embedded deep inside the living mammalian brain 8,9 . And integrated into ophthalmoscopes, vision scientists and ophthalmologists are able to visualize, quantify, and track in situ the many different types of cells that compose the retina, offering significant clinical potential 10-14 .There are many imaging applications in which AO has a significant impact, and the above list is far from exhaustive.Compensation [G] through modulation of the optical field is the fundamental working principle through which AO allevia...

show abstract

“…This is especially the case in most label-free and linear microscopy systems. To circumvent this issue, wavefront sensorless, image-based AO methods have been developed (20)(21)(22). They are based on the principle that the image resulting from the convolution between the specimen and the PSF has optimum quality only when the aberrations have been fully compensated.…”

mentioning

confidence: 99%

Adaptive optical imaging with entangled photons

Cameron,

Courme,

Vernière

et al. 2024

Science

View full text Add to dashboard Cite

Adaptive optics (AO) has revolutionized imaging in fields from astronomy to microscopy by correcting optical aberrations. In label-free microscopes, however, conventional AO faces limitations because of the absence of a guide star and the need to select an optimization metric specific to the sample and imaging process. Here, we propose an AO approach leveraging correlations between entangled photons to directly correct the point spread function. This guide star–free method is independent of the specimen and imaging modality. We demonstrate the imaging of biological samples in the presence of aberrations using a bright-field imaging setup operating with a source of spatially entangled photon pairs. Our approach performs better than conventional AO in correcting specific aberrations, particularly those involving substantial defocus. Our work improves AO for label-free microscopy and could play a major role in the development of quantum microscopes.

show abstract

Closed-loop multiconjugate adaptive optics for microscopy

Cited by 5 publications

References 8 publications

Neurophotonics beyond the surface: unmasking the brain’s complexity exploiting optical scattering

Neurophotonics beyond the surface: unmasking the brain’s complexity exploiting optical scattering

Adaptive optics for high-resolution imaging

Adaptive optical imaging with entangled photons

Contact Info

Product

Resources

About