This PDF file contains the front matter associated with SPIE Proceedings Volume 11924, including the Title Page, Copyright information, and Table of Contents.

We propose a compact full-field OCT assisted by an adaptive lens positioned in front of the eye for wavefront correction, enabling to ally high resolution (2 μm × 2 μm × 8 μm) with a wide field-of-view (5°× 5°) for in vivo retinal imaging.

By inducing stress on Retinal Pigment Epithelium cell cultures, changes in dynamic subcellular signals were observed with Dynamic Full-Field OCT. Comparing with immunochemistry, mitochondria were identified as the main contributor of dynamic signal.

Spatiotemporal optical coherence (STOC) manipulation is a new method for crosstalk-free, aberration-free, high-speed, high-resolution imaging of the human eye in vivo. Here, we apply STOC for deep blood flow imaging of the human retina in vivo.

We characterize the engineering of spatial coherence for STOC-T. We present large field-of-view (9x4.6 mm) images of the retina's microstructure and choroid of the human eye with resolution enabling observation of single photoreceptors and choriocapillaries.

We present our progress on multi-modal imaging in the mouse retina using OCT and Two-photon Excited Fluorescence (TPEF). We have improved upon previous results by raising the numerical aperture from 0.25 to 0.49.

Corneal stiffness is an important parameter in assessing tissue health. Here, we demonstrate Hb-OCE to measure the stiffness of the rabbit cornea in vivo as a function of the ocular pulse.

We present an optical imaging system, termed STOC-T, for retinal in vivo imaging that uses a multimode fiber for crosstalk noise reduction and a line camera for fast preview mode.

In vivo computational adaptive optics optical coherence tomography (CAO-OCT) has been challenging due to insufficient volume scan rate. We present video-rate volume-scanning CAO-OCT with a multi-MHz stretched-pulse mode-locked laser.

We demonstrate an all PMF-based CFBG-SPML laser at 1300 nm and OCT imaging using it. The laser performance of the PMF-based CFBG-SPML laser was as good as the SMF-based CFBG-SPML laser, while providing excellent stability, robustness, and ease of operation.

A comprehensive theoretical model for photothermal optical coherence tomography (PT-OCT) has been developed considering opto-thermo-mechanical properties of sample and illumination conditions. Parametric studies show developed model, unlike previous models, can predict characteristic PT-OCT signal behaviours.

We present an akinetic swept-source based on all-normal-dispersion supercontinuum generation using a low-noise femtosecond laser. Its 80-MHz repetition-rate and 55-nm bandwidth centered at 1060-nm are suitable for fast optical coherence tomography.

We present a stretched-pulse mode-locked (SPML) wavelength-swept laser source at 1290 nm. The lasing bandwidth of the source was 80 nm at a sweep rate of ~18.6 MHz.

Spectral estimation can improve axial resolution for optical coherence tomography. Using a fast implementation of the non-parametric iterative adaptive approach, we significantly improve resolution and image quality in processing times below 2 s.

We present preliminary results using our recently developed methods for quantifying scattering parameters to analyze coronary artery cross section data acquired with OCT and relate optical results to microstructural tissue features in artery walls.

Stereotactic body radiotherapy’s radiobiological mechanism of action is unknown, impeding development of adaptive irradiation schedules. A new vascular biomarker with predictive potential of tumour radiation response and hypoxia is extracted via OCT angiography longitudinally.

A multi-functional optical coherence microscopy capable of computational refocusing, tissue dynamics and birefringence imaging, and scatterer density estimation is demonstrated. It is applied to cell spheroid, ex vivo animal tissues.

Clinical trials of coherence-gated Doppler infrared spectroscopy of intracellular dynamics in living tumor tissue seek to identify the efficacy of prescribed chemotherapy for cancer patients. Changes in intracellular dynamics have specific Doppler signatures that depend on the applied cancer drugs and the sensitivity of the patient to treatment. A challenging feature of these assays is a strong intra-tumor heterogeneity that poses a significant challenge to machine-learning classifiers. We train a Twin Deep Network (TDN) to identify these signatures in the presence of strong heterogeneous background to accurately predict patient response to therapy. The TDN is being applied to two ongoing clinical trials: a clinical trial of HER2neg breast-cancer patients, and esophageal cancer patients, all undergoing neoadjuvant therapy or chemoradiation therapy, respectively. This work provides insight into the value of Deep Learning for advanced data analytics as the volume and variety of data from optics-based assays grows

We present an automated data analysis procedure for clinical SD-OCT images, capable of correcting hyperreflective artifacts due to the instrument. Quantitative parameters related to corneal transparency are extracted from n=85 normal corneas.

We developed an OCT with a wavelength of 1.7-μm swept source which has deeper penetration depth and high absorption in lipids. The OCT system imaged the brain tumor model and the optical attenuation coefficients were obtained for normal and tumor regions.

The identification of ex vivo brain tumor tissue was investigated with two different optical coherence tomography systems exploiting two optical parameters. The optical parameters were calculated from semantically labelled OCT B-scans.

The development of functional retinal imaging is of great interest to clinical and experimental ophthalmology, because it should provide more sensitive tools for ocular diseases diagnostic that would go beyond current gold standard of simple evaluation of the static retinal morphology. In this presentation we will review our recent progress in measurements and interpretation of OCT-based optoretinograms (ORG) i.e., the paradigm of using NIR OCT to measure in vivo bleaching-induced changes in retinal morphology (transient changes in volume of individual neurons, or thickness of retinal layers). Specifically, comparison between different instrumentations used to acquire ORGs and between results acquired using clinical (human) and experimental (animal) systems will be presented. Additionally, intensity-based and phase-based ORG extraction framework will be presented. Finally, we will discuss our findings in the context of current understanding of measured process, being a result osmotically driven water movements between the photoreceptors, and other retinal neurons and its surroundings.

In this paper, we present in vivo optoretinography using a Spatio-Temporal Optical Coherence Tomography STOC-T setup. With our system, we were able to detect both fast and slow responses to a light stimulus.

A conditional generative adversarial network (cGAN) was developed to recover the depth resolution of optical coherence tomography images generated by a discontinuous spectrum in the visible wavelength range. Our approach was demonstrated on two phantoms and ex-vivo mouse ear tissue.

We demonstrate a 3.3 MHz A-scan rate OCT for rapid scanning of large areas of human skin. The mosaicking performance and different OCT imaging modalities including intervolume speckle contrast are evaluated.

Quantitative micro-elastography (QME) maps tissue elasticity. We report the first application of QME with encapsulation technique on skeletal muscles by demonstrating the variations of elasticity between normal and dystrophic mouse muscles.

We present a novel processing technique to retrieve total haemoglobin concentrations with spectroscopic optical coherence tomography data based on numerical optimization of the optical density. We validated our method with ex-vivo human whole blood.

The signal-to-noise ratio in optical coherence tomography images increases as the axial resolution is degraded. This is only true for signals originating from regions of a sample which are larger than the resolution itself.

We performed in-vivo PS-OCT in three asthma patients who underwent bronchial thermoplasty (BT). PS-OCT qualified as minimally invasive technique to visualize airway smooth muscle (ASM) and showed its reduction after BT.

Polarization-sensitive optical coherence tomography has been used to image two healthy and four diseased lungs ex vivo together with histology. Differences between lungs were found in alveoli size and airway smooth muscle thickness.

We demonstrate a novel decorrelation-based localized transverse flow measurement using a line-field OCT system. The lateral resolution along the line illumination direction is controlled by digitally altering the aperture size and provides a contrast only depends on the speed and resolution along that direction in the decorrelation function. The results from a capillary phantom experiment are highly correlated with the subaperture-based Doppler OCT ground truth.

Depth-resolved retardation measurements with a single-mode fiber-based common-path probe by using polarization-sensitive optical coherence tomography are presented, utilizing the constrained polarization evolution and the mirror state phenomenon for reconstruction of the round-trip measurements.

In this study, we have developed a small-footprint imaging framework identifying changes in the microvasculature of the mouse brain at different physiological states, including anesthesia, waking, and movement with the OCT angiography technique.

We exploit the thermoelastic effect to acquire spectroscopic information which is based on the inherent tissue optical absorption properties. We support the acquired data with a 2D model along with system characterisation.

We describes a label-free optical imaging method for brain imaging through the intact skull of a living mouse with virtually no loss in spatial resolving power and its application to a two-photon fluorescence imaging.

In order to enhance spontaneous Raman signals, we exploit non-invasive wavefront shaping methods using a spectrally resolved speckle variance optimization algorithm. We demonstrate unprecedented signal enhancement > 5x in an epi-geometry.

We report ∼ 40 times enhancement in coherent anti-Stokes Raman scattering signal of nitrogen in a 2.96 cm piece of air-filled custom-made anti-resonant hollow-core photonic crystal fiber in picosecond regime.

Light can be focused inside scattering objects by spatially shaping the wavefront of the incident light. We presented a new algorithm of wavefront shaping to improve the tolerance to noise over existing feedback-based algorithms.

We present that the trained phase reconstruction convolutional neural network (PRCNN) is able to extract the depth invariant information and reconstruct high-quality phase retrieval images of sparsity objects through a strong diffuser.

For mapping small displacements and strains in phase-sensitive OCT, straightforward pixel-to-pixel comparison is sufficient. In contrast, we show that mapping supra-pixel displacements and large strains requires correct tracking of scatterers to avoid strongly distorted results.

A system and method for dynamic and automatic signal to noise enhancement in spectrometers to perform high quality and high-resolution spectral domain optical coherence tomography imaging.

We demonstrate the first fiber-coupled, broadband master oscillator power amplifier (MOPA) module where amplified spontaneous emission (ASE) light from an 840-nm superluminescent diode (SLED) is amplified by a low-confinement, broadband 840-nm semiconductor optical amplifier (SOA), generating power levels of more than 60 mW in single-mode fibers. The SLED and SOA are integrated, without an optical isolator in between, in a compact 14-pin Butterfly module on a temperature-stabilized optical bench. The highly-polarized ASE output has a polarization extinction ratio (PER) of more than 30 dB and a 10-dB bandwidth of more than 50 nm, resulting in a coherence length of 10 microns in air.

We demonstrate a 1300-nm ultra-broadband and compact light source module with 180 nm FWHM optical bandwidth and 22 mW of output power, realized with four superluminescent diodes (SLEDs) that are integrated on a temperature-stabilized, free-space, micro-optical bench in a standard 14-pin Butterfly package. The light output of four SLED chips at 1220 nm, 1270 nm, 1310 nm and 1360 nm is collimated by micro-optical collimation lenses, spectrally combined through free-space dielectric edge filters and focused into a SMF-28 single-mode fiber. The combined broadband spectrum corresponds to a coherence length of 5.4 μm in air, suitable for ultra-high-resolution OCT systems at 1300 nm.

Log-and-linear fit and depth-resolved approaches for OCT data processing were applied for white matter state evaluation. Both approaches are suitable for this purpose, however, the choice of necessary method depends on features of used OCT device.

Lichen sclerosus is recurrence chronic autoimmune disease of skin and mucosa. Multimodal OCT is a promising tool for non-invasive, label-free and real-time investigation of vulvar tissue structure and vascularization for diagnosis and therapy control.

Computationally efficient realistic spectral model of OCT-scan formation with easily accounted scatterer motions is considered. Its applications related to OCT-beam corrections, optimization of angiographic and elastographic processing are discussed.

Optical coherence tomography of the ex vivo human and rat brain tissue samples is performed. The analysis of attenuation coefficient, coefficient based on effective refractive index, and their standard deviations was obtained from OCT measurements.

We investigated phase-sensitive optical coherence tomography's performance to monitor the dynamic changes during controlled heating of the bone. The results demonstrated the potential of this method to be used as feedback for the irrigation system.

We report a low cost Full-field Optical Coherence Tomography system for tissue demarcation to identify early morphological alteration of epithelial linings of the stomach. It can help to perform an accurate histological analyses non-invasively.

Quantitative dental diagnostics by OCT is a challenge. Correlation of OCT/ SEM frames (n=23) has measured by MATLAB, as 86% for inter & intraprismatic. OCT can be used under certainly recommended colormap for the detection of early dental decay.

Multiple equal phase-shifted interferograms are the key for accurate phase measurement in phase-shifting interferometry (PSI). Here, we present single-shot PSI technique assisted with deep learning to extract the phase map of biological specimens.

Detection of corneal ectasia in its early stage is a clinical challenge. This work aims to present a visual method based on statistical modeling of the pixel intensity distribution of Scheimpflug corneal images. The method has shown to discriminate early corneal ectasia from control eyes successfully.

We demonstrate possibilities of multimodal OCT for quick distinguishing of uninformative necrotic zones from other morphological structures in freshly-excised breast cancer samples to improve information value of subsequent histological examination.

We present a fibre-based swept-source optical coherence tomography system based on a translation stage to scan sections of ex-vivo tissue samples, achieving a scanning range of 5x5mm² at a minimum scanning step resolution of 0.5μm

Optical Coherence Tomography instruments can provide images of ultrahigh, depth dependent axial resolution. Here we demonstrate an instrument employing visible light, enhanced by the Master-Slave technique, which deliver nearly constant axial resolution over the whole imaging range.

A coherent averaging method was applied to the speckle variance algorithm with a akinetic swept-source OCT system and compared with the case of magnitude averaging to find that the contrast of the OCT angiography image increased.

FD-OCT systems with non-uniform wavenumber sampling require calibration and resampling routines to achieve optimal axial resolution. We present a simple calibration procedure and provide all necessary algorithmic components for wavenumber resampling.

We analyze identification documents using optical coherence tomography imaging. Owing to its sub-surface imaging capabilities, we established its usefulness for quantitative visualization of embedded security features in these documents, increasing the accuracy in forgery detection.

We present a optical coherence tomography system for minimally-disturbance imaging of porcine embryos, placed inside an incubator which ensures adequate environmental parameters including temperature, humidity, and gas ratios.