Video-rate lensless endoscope with self-calibration using wavefront shaping

Scharf, Elias; Dremel, Jakob; Kuschmierz, Robert; Czarske, J.

doi:10.1364/ol.394873

Cited by 38 publications

(21 citation statements)

References 37 publications

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“…The standard deviation of the measured FWHM is only 0.55%, which denotes a robust wavefront shaping in our system. A similar approach was employed for focus scanning [22] and simple wavefront shaping [19] through the MCF. For complex wavefront shaping using SLMs, both the intensity and phase information at the target plane are required to reconstruct the desired light field.…”

Section: Phase Distortion Compensation In a Multi-core Fibermentioning

confidence: 99%

“…Nevertheless, DOPC is required to compensate for the optical path difference between cores which can lead to phase distortion when light propagating through an MCF [16][17][18]. Focus scanning employing simple wavefront shaping through MCFs is thus achieved [19][20][21][22], paving the way to lensless endoscopy. Besides, dynamic wavefront control in an MCF-based dual-beam trap enables optical manipulation of the cell-orientation.…”

Section: Introductionmentioning

confidence: 99%

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Complex Wavefront Shaping through a Multi-Core Fiber

2021

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Wavefront shaping through a multi-core fiber (MCF) is turning into an attractive method for endoscopic imaging and optical cell-manipulation on a chip. However, the discrete distribution and the low number of cores induce pixelated phase modulation, becoming an obstacle for delivering complex light field distributions through MCFs. We demonstrate a novel phase retrieval algorithm named Core–Gerchberg–Saxton (Core-GS) employing the captured core distribution map to retrieve tailored modulation hologram for the targeted intensity distribution at the distal far-field. Complex light fields are reconstructed through MCFs with high fidelity up to 96.2%. Closed-loop control with experimental feedback denotes the capability of the Core-GS algorithm for precise intensity manipulation of the reconstructed light field. Core-GS provides a robust way for wavefront shaping through MCFs; it facilitates the MCF becoming a vital waveguide in endoscopic and lab-on-a-chip applications.

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Section: Phase Distortion Compensation In a Multi-core Fibermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Complex Wavefront Shaping through a Multi-Core Fiber

2021

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“…Adaptive optics technology has been employed in various systems to improve imaging properties, 1 correct aberrations, 2 and perform self-calibration. 3 Imaging techniques that acquire information in a point-wise manner, such as confocal microscopy 4,5 or optical coherence microscopy, 6,7 require point-scanning in three dimensions to obtain three-dimensional (3D) data. One possible way to accomplish the axial scanning is to mechanically translate the sample 8,9 or the microscope objective 10 in z-direction.…”

Section: Introductionmentioning

confidence: 99%

3D-scanning microscopy with adaptive lenses and prisms for zebrafish studies

Wang

Lemke

Wapler

et al. 2021

J. Optical Microsystems

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Point-scanning-based microscopy systems require combination of axial and lateral scanning to obtain three-dimensional (3D) data. Axial scanning was commonly achieved by mechanical displacement of the objective or the sample. To improve, various adaptive lens-based solutions have been reported to circumvent the need for mechanically moving parts. The lateral scanning is predominantly implemented using galvanometric mirrors. Although the performance of such devices is flawless, they require bulky, folded beam-paths that make their incorporation in compact hand-held devices challenging. Recently, we introduced an adaptive prism as a transmissive device that enables lateral scanning. We demonstrate the first all-adaptive 3D scanning in laser scanning microscopes employing a compact in-line transmission geometry without mechanically moving parts and beam folding, combining an adaptive lens and a novel adaptive prism. Characterization of the all-adaptive microscope performance shows a lateral tuning range of approximately X ¼ Y ¼ 130 μm and an axial tuning range of about Z ¼ 500 μm. We successfully demonstrate 3D raster scanning of the fluorescence of a thyroid of a zebrafish embryo.

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“…Related to the TM-based approaches, Czarske et al [29,30,31] have demonstrated in-situ measurement of the fiber phase-distortions by adding a partially-reflecting mirror to the MCF distal-facet, and correction using a spatial light modulator (SLM). However, as imaging is performed by raster scanning a phase-corrected focus, correction of dynamic distortions is challenging, and fluorescence labeling is required.…”

Section: Main Text Introductionmentioning

confidence: 99%

Real-time holographic lensless micro-endoscopy through flexible fibers via Fiber Bundle Distal Holography (FiDHo)

Badt¹,

Katz²

2021

Preprint

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Fiber-based micro-endoscopes are a critically important tool for minimally-invasive deep-tissue imaging. However, the state-of-the-art micro-endoscopes cannot perform three-dimensional imaging through dynamically-bent fibers without the use of bulky optical elements such as lenses and scanners at the distal end, increasing the footprint and tissue-damage. Great efforts have been invested in developing approaches that avoid distal bulky optical elements. However, the fundamental barrier of dynamic optical wavefront-distortions in propagation through flexible fibers, limits current approaches to nearly-static or non-flexible fibers. Here, we present an approach that allows holographic 3D bend-insensitive, coherence-gated, micro-endoscopic imaging, using commercially available multi-core fibers (MCFs). We achieve this by adding a miniature partially-reflecting mirror to the distal fiber-tip, allowing to perform low-coherence full-field phase-shifting holography. We demonstrate widefield diffraction-limited reflection imaging of amplitude and phase targets through dynamically bent fibers at video-rates. Our approach holds potential for label-free investigations of dynamic samples

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Video-rate lensless endoscope with self-calibration using wavefront shaping

Cited by 38 publications

References 37 publications

Complex Wavefront Shaping through a Multi-Core Fiber

Complex Wavefront Shaping through a Multi-Core Fiber

3D-scanning microscopy with adaptive lenses and prisms for zebrafish studies

Real-time holographic lensless micro-endoscopy through flexible fibers via Fiber Bundle Distal Holography (FiDHo)

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