Orbital angular momentum light in microscopy

Ritsch‐Marte, Monika

doi:10.1098/rsta.2015.0437

Cited by 117 publications

(64 citation statements)

References 48 publications

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“…The generation of beams with OAM directly from lasers is the topic of the next paper [49]. Light carrying OAM has found a number of practical applications and we have papers describing two of these: the forces and torques induced by them [50] and the use of OAM in microscopy [51].…”

Section: Recent Developments and This Theme Issuementioning

confidence: 99%

Optical orbital angular momentum

Barnett

Babiker

Padgett

2017

Phil. Trans. R. Soc. A.

113

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We present a brief introduction to the orbital angular momentum of light, the subject of our theme issue and, in particular, to the developments in the 13 years following the founding paper by Allen et al. (Allen et al. 1992 Phys. Rev. A 45 , 8185 ( doi:10.1103/PhysRevA.45.8185 )). The papers by our invited authors serve to bring the field up to date and suggest where developments may take us next. This article is part of the themed issue ‘Optical orbital angular momentum’.

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Section: Recent Developments and This Theme Issuementioning

confidence: 99%

Optical orbital angular momentum

Barnett

Babiker

Padgett

2017

Phil. Trans. R. Soc. A.

113

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“…Since for a Gaussian pump beam

l_{p} = 0

and OAM is conserved in the collinear SPDC process, we have

l_{p} = l_{1} + l_{2} = 0

, that is, OAM entanglement. The exploitation of OAM beams, and other discrete mode decompositions (e.g., Hermite–Gauss modes) has been proposed for applications in enhanced phase contrast microscopy . Exploring similar techniques at the single‐photon level while exploiting the spatial correlations of OAM‐entangled states thus seems promising.…”

Section: Fundamentalsmentioning

confidence: 99%

“…The exploitation of OAM beams, and other discrete mode decompositions (e.g., Hermite-Gauss modes) has been proposed for applications in enhanced phase contrast microscopy. [56,57] Exploring similar techniques at the single-photon level while exploiting the spatial correlations of OAM-entangled states thus seems promising. The description in terms of a modal distribution is also relevant in experimental scenarios, where photons are required to be coupled into single mode fibers.…”

Section: Photon-pair Correlationsmentioning

confidence: 99%

Perspectives for Applications of Quantum Imaging

Basset

Setzpfandt

Steinlechner

et al. 2019

Laser & Photonics Reviews

113

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Quantum imaging is a multifaceted field of research that promises highly efficient imaging in extreme spectral ranges as well as ultralow‐light microscopy. Since the first proof‐of‐concept experiments over 30 years ago, the field has evolved from highly fascinating academic research to the verge of demonstrating practical technological enhancements in imaging and microscopy. Here, the aim is to give researchers from outside the quantum optical community, in particular those applying imaging technology, an overview of several promising quantum imaging approaches and evaluate both the quantum benefit and the prospects for practical usage in the near future. Several use case scenarios are discussed and a careful analysis of related technology requirements and necessary developments toward practical and commercial application is provided.

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“…Following precise alignment with the LSFM system, a fully automated image acquisition was implemented via a customized LabVIEW program. We created a virtual spiral phase plate (SPP) for automatic edge detection by performing the forward and inverse Fourier transform in MATLAB (MathWorks, Inc.) [48,49]. The hardware system is also adaptable for inserting a real SPP along with optical components (Ob2 and TL2) as a high-pass filter for edge detection.…”

Section: Light-sheet Microscope Designmentioning

confidence: 99%

Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation

Ding

Gudapati

Lin

et al. 2019

Preprint

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AbstractRecent advances in light-sheet fluorescence microscopy (LSFM) enable 3-dimensional (3-D) imaging of cardiac architecture and mechanics in toto. However, segmentation of the cardiac trabecular network to quantify cardiac injury remains a challenge. We hereby employed “subspace approximation with augmented kernels (Saak) transform” for accurate and efficient quantification of the light-sheet image stacks following chemotherapy-treatment. We established a machine learning framework with augmented kernels based on the Karhunen-Loeve Transform (KLT) to preserve linearity and reversibility of rectification. The Saak transform-based machine learning enhances computational efficiency and obviates iterative optimization of cost function needed for neural networks, minimizing the number of training data sets to three 2-D slices for segmentation in our scenario. The integration of forward and inverse Saak transforms serves as a light-weight module to filter adversarial perturbations and reconstruct estimated images, salvaging robustness of existing classification methods. The accuracy and robustness of the Saak transform are evident following the tests of dice similarity coefficients and various adversary perturbation algorithms, respectively. The addition of edge detection further allows for quantifying the surface area to volume ratio (SVR) of the myocardium in response to chemotherapy-induced cardiac remodeling. The combination of Saak transform, random forest, and edge detection augments segmentation efficiency by 20-fold as compared to manual processing; thus, establishing a robust framework for post light-sheet imaging processing, creating a data-driven machine learning for 3-D quantification of cardiac ultra-structure.

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Orbital angular momentum light in microscopy

Abstract: One contribution of 14 to a theme issue 'Optical orbital angular momentum' .

Cited by 117 publications

References 48 publications

Optical orbital angular momentum

Optical orbital angular momentum

Perspectives for Applications of Quantum Imaging

Saak Transform-Based Machine Learning for Light-Sheet Imaging of Cardiac Trabeculation

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