Biology subjects

Kuranov, R.

Publications and source records attributed to Kuranov, R..

6 recordsLinked to original sources

bioRxiv2026

Imaging biological tissue at extended depth using swept-source visible-light OCT

We present a swept-source visible-light optical coherence tomography (SS-vis-OCT) system with twice the imaging depth of prior SS-vis-OCT and improved sensitivity for imaging biological samples, achieving shot-noise-limited operation. Because second-harmonic generation is limited by the booster optical amplifier's output power, the visible-light SS power is capped at 450 W. Increasing it further would require a more powerful, but costlier, amplifier. Instead, we reduce the receiver noise floor by selecting a balanced detector with NEP approaching the thermal (Johnson-Nyquist) limit. Real-time numerical k-linearization increases the effective number of linear-in-wavenumber samples per sweep, further improving SNR and extending the imaging range. Together, these improvements yield a sensitivity of 89 dB and an imaging depth of 9 mm in air or 6.5 mm in tissue, enabling full anterior-segment imaging of ex vivo porcine eyes.

bioengineering↗

bioRxiv2026

Closed-loop optical optimization enables patterned retinal stimulation in vivo at cellular scales

Visual neuroscience requires precise spatiotemporal projection of optical stimulation onto the retina, especially in experimental mouse models. However, in vivo patterned stimulation in mice is profoundly hindered by the extreme optical power and severe anatomical aberrations of the eye. Consequently, visual stimulation relies mainly on unverifiable, open-loop approximations that often lack spatial precision. Here, we introduce a closed-loop, spatially modulated stimulation platform that overcomes these barriers. By integrating a digital micromirror device (DMD) with electronically tunable lenses (ETLs) and a real-time, fundus camera-guided focus optimization module, we directly verify the location of patterned stimuli on the retina while dynamically correcting for chromatic and geometric defocus. This platform delivers quantitatively verified static and dynamic patterned stimuli to the living retina with lateral resolutions as fine as 6.7 {micro}m. Guided by ray-tracing optical analysis, our work establishes a technological foundation that enables highly reproducible, cellular-scale interrogations of the visual pathway.

bioengineering↗

bioRxiv2025

Vis-OCT Explorer: an open-source software for visible-light optical coherence tomography data processing

Background and objectivesVisible-light optical coherence tomography (vis-OCT) has enabled the visualization of retinal structures and functions beyond the capabilities of conventional OCTs. However, to reconstruct high-quality images, vis-OCT requires special post-processing, including balanced detection. An open-source, standardized vis-OCT data processing software is essential for clinical applications and translation of vis-OCT. MethodsWe developed Vis-OCT Explorer, an open-source, modular Python-based software for processing vis-OCT images. In addition to the standard spectral-domain OCT processing pipeline - including k-space resampling, dispersion compensation, and fast Fourier transformation - Vis-OCT Explorer offers unique dual-spectrometer balanced detection, short-time-Fourier transformation (STFT) based dispersion compensation coefficient optimization, and GPU-accelerated processing. We evaluated the reconstruction performance by quantifying a quality index extracted from individual B-scan images. We also assessed the repeatability of retinal thickness measurements by five operators on images acquired from different testing sites using the intraclass correlation coefficient (ICC) analysis. ResultsBalanced detection and STFT-based dispersion compensation significantly increased the quality index of reconstructed B-scan images. ICC values of the retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer (GCIPL) thickness measurements from four testing sites exceeded 0.8 in 87.5% of the macular-centered images. The ICC of RNFL thickness measurements on all optic nerve head-centered images is above 0.8, showing strong repeatability across users. ConclusionsVis-OCT Explorer provides high-quality image processing and enables highly repeatable measurements on vis-OCT human retinal images. It facilitates future multicenter clinical tests to validate vis-OCTs clinical efficacy.

bioengineering↗

bioRxiv2024

Freeform robotic optical coherence tomography beyond the optical field-of-view limit

Imaging complex, non-planar anatomies with optical coherence tomography (OCT) is limited by the optical field of view (FOV) in a single volumetric acquisition. Combining linear mechanical translation with OCT extends the FOV but suffers from inflexibility in imaging non-planar anatomies. We report the freeform robotic OCT to fill this gap. To address challenges in volumetric reconstruction associated with the robotic movement accuracy being two orders of magnitudes worse than OCT imaging resolution, we developed a volumetric registration algorithm based on simultaneous localization and mapping (SLAM) to overcome this limitation. We imaged the entire aqueous humor outflow pathway, whose imaging has the potential to customize glaucoma surgeries but is typically constrained by the FOV, circumferentially in mice as a test. We acquired volumetric OCT data at different robotic poses and reconstructed the entire anterior segment of the eye. The reconstructed volumes showed heterogeneous Schlemms canal (SC) morphology in the reconstructed anterior segment and revealed a segmental nature in the circumferential distribution of collector channels (CC) with spatial features as small as a few micrometers.

bioengineering↗

bioRxiv2021

Balanced-detection visible-light optical coherence tomography

Increases in speed and sensitivity enabled rapid clinical adoption of optical coherence tomography (OCT) in ophthalmology. Recently visible-light OCT (vis-OCT) achieved ultrahigh axial resolution, improved tissue contrast, and new functional imaging capabilities, demonstrating the potential to improve clincal care further. However, limited speed and sensitivity caused by the high relative intensity noise (RIN) in supercontinuum lasers impeded the clinical adoption of vis-OCT. To overcome these limitations, we developed balanced-detection vis-OCT (BD-vis-OCT), which uses two calibrated spectrometers to cancel noises common to sample and reference arms, including RIN. We analyzed the RIN to achieve a robust pixel-to-pixel calibration between the two spectrometers and showed that BD-vis-OCT enhanced system sensitivity by up to 22.2 dB. We imaged healthy volunteers at an A-line rate of 125 kHz and a field-of-view as large as 10 mm x 4 mm. We found that BD-vis-OCT revealed retinal anatomical features previously obscured by the noise floor.

bioengineering↗

bioRxiv2021

In Vivo Sublayer Analysis Of Human Retinal Inner Plexiform Layer Obtained By Visible-Light Optical Coherence Tomography

PurposeGrowing evidence suggests, in glaucoma, the dendritic degeneration of subpopulation of the retinal ganglion cells (RGCs) may precede RGCs soma death. Since different RGCs synapse in different IPL sublayers, visualization of the lamellar structure of the IPL could enable both clinical and fundamental advances in glaucoma understanding and management. In this pilot study, we investigated whether visible-light optical coherence tomography (vis-OCT) could detect the difference in the inner plexiform layer (IPL) sublayers thicknesses between small cohorts of healthy and glaucomatous subjects. MethodWe investigated vis-OCT retinal images from nine healthy and five glaucomatous subjects. Four of the healthy subjects were scanned three times each in two separate visits, and five healthy and five glaucoma subjects were scanned three times during a single visit. Raster speckle-reduction scans (3 by 3 by 1.2 mm^3: horizontal; vertical; axial directions with 8192x8x1024 samplings, respectively) of the superior macular were acquired. IPL sublayers were then manually segmented using averaged A-line profiles. ResultsThe mean ages of glaucoma and healthy subjects are 59.6 +/- 13.4 and 45.4 +/- 14.4 years (p =0.02, Wilcoxon rank-sum test), respectively. The visual field mean deviation (MD) are -26.4 to -7.7 dB in glaucoma patient and -1.6 to 1.1 dB in healthy subjects (p =0.002). The mean circumpapillary retinal nerve fiber layer (RNFL) thicknesses are 59.6 +/- 9.1 m in glaucoma and 99.2 +/- 16.2 m in healthy subjects (p=0.004). Median coefficients of variation (CVs) of intra-session repeatability for the entire IPL and three sublayers are 3.1%, 5.6%, 6.9%, and 5.6% in healthy subjects and 1.8%, 6.0%, 7.7%, and 6.2% in glaucoma patients, respectively. The mean entire IPL thicknesses are 36.2 +/- 1.5 m in glaucomatous and 40.1 +/- 1.7 micrometer in healthy eyes (p=0.003, Mixed-effects model). We found that the middle sublayer thickness was responsible for the majority of the difference (14.2 +/- 1.8 m in glaucomatous and 17.5 +/- 1.4 in healthy eyes, p<0.01). ConclusionsIPL sublayer analysis revealed that the middle sublayer could be responsible for the majority of IPL thinning in glaucoma. Vis-OCT quantified IPL sublayers with good repeatability in both glaucoma and healthy subjects. Visualization of the IPL sublayers may enable the investigation of lamella-specific changes in the IPL in glaucoma and may help elucidate the response of different types of RGCs to the disease.

bioengineering↗