Optical Eigenmodes; exploiting the quadratic nature of the light-matter interaction

Mazilu, Michaël; Baumgartl, Jörg; Kosmeier, Sebastian; Dholakia, Kishan

doi:10.1364/oe.19.000933

Cited by 84 publications

(83 citation statements)

References 23 publications

(34 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 1a describes our experimental set-up. Figure 1b shows the theoretical spatial field distribution of the first nine Optical Eigenmodes E ℓ in the region of interest (ROI) [7,30]. We observe that as the order of the mode ℓ increases finer details are accessed.…”

Section: Resultsmentioning

confidence: 98%

Nonredundant Raman imaging using optical eigenmodes

Kosmeier¹,

Zolotovskaya²,

Luca³

et al. 2014

Optica

View full text Add to dashboard Cite

Various forms of imaging schemes have emerged over the last decade that are based on correlating variations in incident illuminating light fields to the outputs of single 'bucket' detectors. However, to date, the role of the orthogonality of the illumination fields has largely been overlooked and furthermore, the field has not progressed beyond bright field imaging. By exploiting the concept of orthogonal illuminating fields, we demonstrate the application of optical eigenmodes (OEi) to wide field, scan-free spontaneous Raman imaging, which is notoriously slow in wide-field mode. The OEi approach enables a form of indirect imaging that exploits both phase and amplitude in image reconstruction. The use of orthogonality enables us to non-redundantly illuminate the sample and, in particular, use a subset of illuminating modes to obtain the majority of information from the sample, thus minimising any photobleaching or damage of the sample. The crucial incorporation of phase, in addition to amplitude, in the imaging process significantly reduces background noise and results in an improved SNR for the image while reducing the number of illuminations. As an example we can reconstruct images of a surface-enhanced Raman spectroscopy (SERS) active sample with approximately an order of magnitude fewer acquisitions. This generic approach may readily be applied to other imaging modalities such as fluorescence microscopy or nonlinear vibrational microscopy.

show abstract

Section: Resultsmentioning

confidence: 98%

Nonredundant Raman imaging using optical eigenmodes

Kosmeier¹,

Zolotovskaya²,

Luca³

et al. 2014

Optica

View full text Add to dashboard Cite

show abstract

“…In a parallel stream of work, Huang and Zheludev numerically synthesized superoscillations using prolate spheroidal wave functions [23]. More recently, their collaboration with Baumgartl et al resulted in a demonstration of optical subdiffraction focusing using a superoscillatory waveform constructed from optical eigenmodes, which in turn are formed from the superposition of Bessel beams [24], [25]. In their work, a subdiffraction field intensity lobe of 0.35 was created at a focal length away from a focusing microscope objective [see Fig.…”

Section: Superoscillationmentioning

confidence: 99%

Advances in Imaging Beyond the Diffraction Limit

Wong

Eleftheriades

2012

IEEE Photonics J.

View full text Add to dashboard Cite

“…Optical eigenmodes are used to directly determine the smallest spot of maximal intensity within a given region of interest in [39,40]. This method is used to find a range of spots tailored to different measurement tasks by considering a number of FoV in [41].…”

Section: Introductionmentioning

confidence: 99%

Optimising superoscillatory spots for far-field super-resolution imaging

et al. 2018

View full text Add to dashboard Cite

Optical superoscillatory imaging, allowing unlabelled far-field super-resolution, has in recent years become reality. Instruments have been built and their super-resolution imaging capabilities demonstrated. The question is no longer whether this can be done, but how well: what resolution is practically achievable? Numerous works have optimised various particular features of superoscillatory spots, but in order to probe the limits of superoscillatory imaging we need to simultaneously optimise all the important spot features: those that define the resolution of the system. We simultaneously optimise spot size and its intensity relative to the sidebands for various fields of view, giving a set of best compromises for use in different imaging scenarios. Our technique uses the circular prolate spheroidal wave functions as a basis set on the field of view, and the optimal combination of these, representing the optimal spot, is found using a multi-objective genetic algorithm. We then introduce a less computationally demanding approach suitable for real-time use in the laboratory which, crucially, allows independent control of spot size and field of view. Imaging simulations demonstrate the resolution achievable with these spots. We show a three-order-of-magnitude improvement in the efficiency of focusing to achieve the same resolution as previously reported results, or a 26 % increase in resolution for the same efficiency of focusing. Rev. E 67, 046611 (2003).

show abstract

Optical Eigenmodes; exploiting the quadratic nature of the light-matter interaction

Cited by 84 publications

References 23 publications

Nonredundant Raman imaging using optical eigenmodes

Nonredundant Raman imaging using optical eigenmodes

Advances in Imaging Beyond the Diffraction Limit

Optimising superoscillatory spots for far-field super-resolution imaging

Contact Info

Product

Resources

About