In vivo minimally invasive interstitial multi-functional microendoscopy

Shahmoon, Asaf; Aharon, Shiran; Kruchik, Oded; Hohmann, Martin; Slovin, Hamutal; Douplik, Alexandre; Zalevsky, Zeev

doi:10.1038/srep01805

Cited by 8 publications

(10 citation statements)

References 31 publications

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“…We have also performed color correction by normalizing the colors to the white level in order to obtain a more balanced and more natural colors in the interpolated image. We also refer the reader to source [ 18 ] where in vivo imaging of a rat brain microvascular area was done.…”

Section: Resultsmentioning

confidence: 99%

“…Here, we use the same SMFB and exploit the working distance to conduct a scan with small translations between acquisitions followed by post processing steps. This adds new capabilities to our previous work [ 18 ] as the resolution and signal to noise levels are raised.…”

Section: Introductionmentioning

confidence: 91%

“…Recently, Shahmoon et al [ 18 ] described a lensless SMFB that can overcome many of the above-mentioned limitations in vivo . The 200-µm fiber consists of ~5000 inner cores and does not need the large distal optics that are usually required for selecting an imaging plane away from the tissue damaging tip [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

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Non-labeled lensless micro-endoscopic approach for cellular imaging through highly scattering media

et al. 2018

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We describe an imaging approach based on an optical setup made up of a miniature, lensless, minimally invasive endoscope scanning a sample and matching post processing techniques that enable enhanced imaging capabilities. The two main scopes of this article are that this approach enables imaging beyond highly scattering medium and increases the resolution and signal to noise levels reaching single cell imaging. Our approach has more advantages over ordinary endoscope setups and other imaging techniques. It is not mechanically limited by a lens, the stable but flexible fiber can acquire images over long time periods (unlike current imaging methods such as OCT etc.), and the imaging can be obtained at a certain working distance above the surface, without interference to the imaged object. Fast overlapping scans enlarge the region of interest, enhance signal to noise levels and can also accommodate post-processing, super-resolution algorithms. Here we present that due to the setup properties, the overlapping scans also lead to dramatic enhancement of non-scattered signal to scattered noise. This enables imaging through highly scattering medium. We discuss results obtained from in vitro investigation of weak signals of ARPE cells, rat retina, and scattered signals from polydimethylsiloxane (PDMS) microchannels filled with hemoglobin and covered by intralipids consequently mimicking blood capillaries and the epidermis of human skin. The development of minimally invasive procedures and methodologies for imaging through scattering medium such as tissues can vastly enhance biomedical diagnostic capabilities for imaging internal organs. We thereby propose that our method may be used for such tasks in vivo.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 91%

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Non-labeled lensless micro-endoscopic approach for cellular imaging through highly scattering media

et al. 2018

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“…Such designs typically use a mechanical scanner and microlenses and recover images with high spatial resolution but with a field of view limited by the deflection angle of the scanner. Another approach is widefield illumination and detection using a multicore fiber or a fiber bundle, where fiber cores transmit the image pixels of a scene (5). In this case, widefield imaging is accompanied by degradation in image quality due to the cross-talk between fiber cores and pixelation artifacts.…”

Section: Introductionmentioning

confidence: 99%

A minimally invasive lens-free computational microendoscope

et al. 2019

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Ultra-miniaturized microendoscopes are vital for numerous biomedical applications. Such minimally invasive imagers allow for navigation into hard-to-reach regions and observation of deep brain activity in freely moving animals. Conventional solutions use distal microlenses. However, as lenses become smaller and less invasive, they develop greater aberrations and restricted fields of view. In addition, most of the imagers capable of variable focusing require mechanical actuation of the lens, increasing the distal complexity and weight. Here, we demonstrate a distal lens-free approach to microendoscopy enabled by computational image recovery. Our approach is entirely actuation free and uses a single pseudorandom spatial mask at the distal end of a multicore fiber. Experimentally, this lensless approach increases the space-bandwidth product, i.e., field of view divided by resolution, by threefold over a best-case lens-based system. In addition, the microendoscope demonstrates color resolved imaging and refocusing to 11 distinct depth planes from a single camera frame without any actuated parts.

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“…Another alternative is to use fiber-bundle-based microendoscopy, where each single-mode fiber in the bundle composes one pixel of the image. 2 However, resolution is limited by the spacing between the cores. GRIN-lens-based miniaturized microscopes may also be used.…”

mentioning

confidence: 99%

Cannula-based computational fluorescence microscopy

Kim

Nagarajan

Capecchi

et al. 2015

Applied Physics Letters

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We converted a solid-glass cannula into a high-resolution widefield fluorescence microscope. Calibrating the space-variant point-spread functions of the cannula and applying a nonlinear optimization algorithm to reconstruct object details enable this development. The resolution of our system is ∼1 μm, and fluorophore position is determined to a precision of ∼20 nm. Images of microglia from fixed slices of mouse brains at various post-natal development stages were also obtained.

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In vivo minimally invasive interstitial multi-functional microendoscopy

Cited by 8 publications

References 31 publications

Non-labeled lensless micro-endoscopic approach for cellular imaging through highly scattering media

Non-labeled lensless micro-endoscopic approach for cellular imaging through highly scattering media

A minimally invasive lens-free computational microendoscope

Cannula-based computational fluorescence microscopy

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