Reflectance Confocal Microscopy

Hughes, R. Condon; Alessi‐Fox, Christi

doi:10.1002/9781118488935.ch16

Cited by 1 publication

(1 citation statement)

References 27 publications

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“…However, despite the aforementioned advantages of OCT, RCM plays an important role in applications requiring high frame rate en face imaging with minimal computational overhead, or in applications where subcellular imaging resolution is more favorable than penetration depth . Additionally, while the superior contrast of fluorescence confocal microscopy has led to its broad adoption in basic sciences , the ability of RCM to resolve cellular and subcellular tissue structures without the need for exogenous contrast has made the modality uniquely suited for in vivo clinical diagnostic imaging .…”

Section: Introductionmentioning

confidence: 99%

Spectrally encoded coherence tomography and reflectometry: Simultaneous en face and cross‐sectional imaging at 2 gigapixels per second

El‐Haddad

Bozic

Tao

2017

Journal of Biophotonics

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Non-invasive biological imaging is crucial for understanding in vivo structure and function. Optical coherence tomography (OCT) and reflectance confocal microscopy are two of the most widely used optical modalities for exogenous contrast-free, high-resolution, three-dimensional imaging in non-fluorescent scattering tissues. However, sample motion remains a critical barrier to raster-scanned acquisition and reconstruction of wide-field anatomically accurate volumetric datasets. We introduce spectrally encoded coherence tomography and reflectometry (SECTR), a high-speed, multimodality system for simultaneous OCT and spectrally encoded reflectance (SER) imaging. SECTR utilizes a robust system design consisting of shared optical relays, scanning mirrors, swept laser and digitizer to achieve the fastest reported in vivo multimodal imaging rate of 2 gigapixels per second. Our optical design and acquisition scheme enable spatiotemporally co-registered acquisition of OCT cross-sections simultaneously with en face SER images for multivolumetric mosaicking. Complementary axial and lateral translation and rotation are extracted from OCT and SER data, respectively, for full volumetric estimation of sample motion with micron spatial and millisecond temporal resolution.

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Section: Introductionmentioning

confidence: 99%