optical coherence tomography oct system  (Thorlabs)

Journal: Bioactive Materials

Article Title: Bacterial synthesis of personalized biomimetic biological cornea

doi: 10.1016/j.bioactmat.2025.12.047

Figure Lengend Snippet: Evaluation of personalized biomimetic bio-cornea for short-term epithelial repair in large corneal defects in vivo . A) Representative corneal images before treatment, immediately after operation, and at 3, 7, 14, and 28 days post-OP (bright-field and fluorescein staining). B) Time-course of epithelialization percentage for each group (n = 5). C) Representative AS-OCT images and measurements of corneal and epithelial thickness immediately post-OP and 28 days post-OP. The white arrow shows transplanted bio-corneas. The red line shows the boundary. The red arrow shows the scar formed at 28 days post-OP. D) Statistical analysis of corneal thickness at 28 days post-OP (n = 5). E) Statistical analysis of epithelial thickness at 28 days post-OP (n = 5). Data in B), D) and E) are presented as mean ± SD. ns, no significant difference, # p < 0.05, ## p < 0.01 compared to the DBC group; ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001 compared to the injury group. ST, immediately after operation; OP, operation.

Article Snippet: The examinations at each time point included slit-lamp biomicroscopy (S360, MediWork, CHN) to observe and perform anterior segment photography, anterior segment optical coherence tomography (AS-OCT) examination (RTVue-100, Optovue Inc., USA) to assess the in vivo status of the cornea and the regularity of the corneal anterior surface, and corneal topography (Pentacam HR, Oculus, GER) to detect corneal morphology, including corneal thickness and changes in the anterior surface curvature.

Techniques: In Vivo, Staining

Journal: Bioactive Materials

Article Title: Bacterial synthesis of personalized biomimetic biological cornea

doi: 10.1016/j.bioactmat.2025.12.047

Figure Lengend Snippet: Long-term in vivo evaluation of personalized biomimetic bio-cornea in scar-free repair of large cornea l defects. A) Representative corneal images at 3 months post-OP (bright-field and fluorescein staining). B) Representative AS-OCT images of cornea and corneal thickness, epithelial thickness measurements at 3 months post-OP. The red arrow shows the scar formed at 3 months post-OP. C) Corneal topography images at 3 months post-OP. D) Statistical analysis of corneal thickness from AS-OCT at 3 months post-OP (n = 4). E) Statistical analysis of corneal epithelial thickness from AS-OCT at 3 months post-OP (n = 4). F) Statistical analysis of corneal curvature from corneal topography at 3 months post-OP (n = 4). G) Representative corneal H&E and Masson staining images at 3 months post-OP. H) Immunofluorescence images of FN and COL1A1 in cornea at 3 months post-OP. Data in D)-F) are presented as mean ± SD. ns, no statistical difference; ∗ p < 0.05; ∗∗ p < 0.01.

Article Snippet: The examinations at each time point included slit-lamp biomicroscopy (S360, MediWork, CHN) to observe and perform anterior segment photography, anterior segment optical coherence tomography (AS-OCT) examination (RTVue-100, Optovue Inc., USA) to assess the in vivo status of the cornea and the regularity of the corneal anterior surface, and corneal topography (Pentacam HR, Oculus, GER) to detect corneal morphology, including corneal thickness and changes in the anterior surface curvature.

Techniques: In Vivo, Staining, Immunofluorescence

Journal: Frontiers in Ophthalmology

Article Title: Refractive outcomes after cataract surgery in eyes with pterygium: validation of a regression-based keratometric prediction model

doi: 10.3389/fopht.2026.1759853

Figure Lengend Snippet: Measurement of horizontal pterygium size (HPS) using CASIA2. A horizontal corneal cross-section obtained with the CASIA2 anterior segment OCT system is shown. The pterygium distance (A) was defined as the perpendicular distance from the nasal angle recess to a vertical line (B) drawn from the apex of the pterygium. HPS was calculated by dividing this distance by the horizontal angle-to-angle distance (C) .

Article Snippet: Mean K and anterior chamber depth (ACD) were measured using the CASIA2 anterior segment optical coherence tomography (OCT) system (Tomey Corporation, Nagoya, Japan).

Techniques:

Journal: Scientific Reports

Article Title: Portable AI-powered scanning slit-light device for low-cost eye disease screening

doi: 10.1038/s41598-026-44392-w

Figure Lengend Snippet: Automated frame selection, segmentation, and quantitative analysis using the portable scanning slit-light device compared with AS-OCT. Representative results for two subjects captured with the portable device and analyzed by the LWBNA-unet model. ( a–e ) Cataract case and ( f–j ) narrow-angle case. Figure ( a – c , f – h ) show the original frames automatically selected from scanning-slit videos; panels ( d , e , i , j ) display the corresponding segmentation overlays, where cornea (blue), iris (orange), pupil (green), and fitted corneal ellipse (light green) are delineated for geometric computation. Device-derived parameters are annotated in ( c , h ). (k , l) Reference AS-OCT; CASIA2, Tomey images of the same eyes confirm consistent morphological trends.

Article Snippet: A subset of participants was imaged in both orientations to expand the diversity of training frames for the deep-learning segmentation model. For reference, conventional imaging was performed using a standard slit-lamp (Topcon SL-D701) and anterior segment optical coherence tomography (AS-OCT) (CASIA-2, Tomey Corporation).

Techniques: Selection, Derivative Assay

Journal: Scientific Reports

Article Title: Portable AI-powered scanning slit-light device for low-cost eye disease screening

doi: 10.1038/s41598-026-44392-w

Figure Lengend Snippet: Validation of anterior chamber depth (ACD) and central corneal thickness (CCT) measurements between AS-OCT and the portable scanning slit-light device. Comparison of quantitative parameters obtained using the AI-enhanced portable scanning slit-light system and anterior-segment optical coherence tomography (AS-OCT; CASIA-2, Tomey). ( a ) Correlation between ACD values measured by the two modalities (Pearson’s r = 0.916), showing near-identity proportional agreement. ( b ) Bland–Altman plot of ACD measurements, indicating minimal bias (+ 0.044 mm) and narrow 95% limits of agreement (− 0.301 to + 0.389 mm). ( c ) Correlation between CCT values (r = 0.106), demonstrating strong linear association across devices. ( d ) Bland–Altman plot for CCT, showing a small positive bias (+ 30.3 μm) with limits of agreement (− 78.1 to + 138.7 μm). Minor offsets are consistent with known inter-instrument variability and differing scanning geometries.

Article Snippet: A subset of participants was imaged in both orientations to expand the diversity of training frames for the deep-learning segmentation model. For reference, conventional imaging was performed using a standard slit-lamp (Topcon SL-D701) and anterior segment optical coherence tomography (AS-OCT) (CASIA-2, Tomey Corporation).

Techniques: Biomarker Discovery, Comparison, Tomography