Dual-modality endomicroscopy with co-registered fluorescence and phase contrast

Ba, Cong; Palmiere, M.; Ritt, Jason T.; Mertz, Jérôme

doi:10.1364/boe.7.003403

Cited by 12 publications

(7 citation statements)

References 40 publications

(41 reference statements)

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“…With increasing depth, contrast is reduced as the point spread function is degraded. Therefore, the penetration depth of our techniques is similar to the penetration depth of confocal reflectance and other scanning phase-gradient imaging techniques [5–8,11]. The P2D2 image in Fig.…”

supporting

confidence: 61%

Pupil plane differential detection microscopy

et al. 2018

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Differential interference contrast (DIC) microscopy is a powerful technique for imaging phase objects in transparent samples but does not work with scattering samples. This Letter, to the best of our knowledge, describes a new technique for obtaining DIC-like phase-gradient images in scattering media based on differential detection of forward-scattered light, using detectors arranged in a ring configuration around the microscope objective pupil or its conjugate pupil plane. This method, called pupil plane differential detection (P2D2) microscopy, does not need polarization optics or a confocal pinhole, yet produces images that are free of speckles and interference noises. We compared the P2D2 imaging technique with reflectance confocal microscopy and demonstrated P2D2 as a simple add-on to conventional laser scanning microscopes.

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supporting

confidence: 61%

Pupil plane differential detection microscopy

et al. 2018

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“…(v) oblique back-illumination endomicroscopy (Ba et al, 2016;Ford et al, 2012a;Ford and Mertz, 2013), collecting phase-gradient images of thick scattering samples; and (vi) multi-spectral imaging Cha and Kang, 2013;Jean et al, 2007;Krstajić et al, 2016;Makhlouf et al, 2008;Rouse and Gmitro, 2000;Vercauteren et al, 2013;Waterhouse et al, 2016). These alternative architectures, along with pCLE can be grouped under the term Fibre-Bundle Endomicroscopy (FBEµ), which, due to its more widespread dissemination, is the technology primarily deliberated throughout this study.…”

Section: Technology Overviewmentioning

confidence: 99%

Image computing for fibre-bundle endomicroscopy: A review

Perperidis¹,

Dhaliwal²,

McLaughlin³

et al. 2020

Medical Image Analysis

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Endomicroscopy is an emerging imaging modality, that facilitates the acquisition of in vivo, in situ optical biopsies, assisting diagnostic and potentially therapeutic interventions. While there is a diverse and constantly expanding range of commercial and experimental optical biopsy platforms available, fibre-bundle endomicroscopy is currently the most widely used platform and is approved for clinical use in a range of clinical indications. Miniaturised, flexible fibre-bundles, guided through the working channel of endoscopes, needles and catheters, enable high-resolution imaging across a variety of organ systems. Yet, the nature of image acquisition though a fibre-bundle gives rise to several inherent characteristics and limitations necessitating novel and effective image pre-and post-processing algorithms, ranging from image formation, enhancement and mosaicing to pathology detection and quantification. This paper introduces the underlying technology and most prevalent clinical applications of fibre-bundle endomicroscopy, and provides a comprehensive, up-to-date, review of relevant image reconstruction, analysis and understanding/inference methodologies. Furthermore, current limitations as well as future challenges and opportunities in fibre-bundle endomicroscopy computing are identified and discussed.

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“…As previously noted, the error term ε contains the measurement error as well as the last two terms of the right hand side in (7), which can be disregarded provided F −F K and δ k are small or they lie in the span of those eigenfunctions corresponding to a small singular value. Thus, for small ε it is required that {H k } K k=1 and {E m } M m=1 form a good approximation for F or for the eigenfunctions with large singular values.…”

Section: Reconstruction Of Scalar-fieldsmentioning

confidence: 99%

“…Recently, there has been a significant interest in developing new types of optical fiber endoscopes for medical imaging applications [9], [13], [18], [30], [45]. Typically, these new endoscopes aim to be thinner, and therefore less invasive, and/or use different properties of light than conventional white light endoscopes making them more sensitive for detecting diseases such as cancer [50].…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Optical Vector-Fields With Applications in Endoscopic Imaging

Gatarić

Gordon

Renna

et al. 2019

IEEE Trans. Med. Imaging

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We introduce a framework for the reconstruction of the amplitude, phase, and polarization of an optical vector-field using measurements acquired by an imaging device characterized by an integral transform with an unknown spatially variant kernel. By incorporating effective regularization terms, this new approach is able to recover an optical vector-field with respect to an arbitrary representation system, which may be different from the one used for device calibration. In particular, it enables the recovery of an optical vector-field with respect to a Fourier basis, which is shown to yield indicative features of increased scattering associated with tissue abnormalities. We demonstrate the effectiveness of our approach using synthetic holographic images and biological tissue samples in an experimental setting, where the measurements of an optical vector-field are acquired by a multicore fiber endoscope, and observe that indeed the recovered Fourier coefficients are useful in distinguishing healthy tissues from tumors in early stages of oesophageal cancer.

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Dual-modality endomicroscopy with co-registered fluorescence and phase contrast

Cited by 12 publications

References 40 publications

Pupil plane differential detection microscopy

Pupil plane differential detection microscopy

Image computing for fibre-bundle endomicroscopy: A review

Reconstruction of Optical Vector-Fields With Applications in Endoscopic Imaging

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