scholarly journals Multimodal probe for optical coherence tomography epidetection and micron-scale indentation

2017 ◽  
Vol 10 (06) ◽  
pp. 1742007 ◽  
Author(s):  
L. Bartolini ◽  
F. Feroldi ◽  
J. J. A. Weda ◽  
M. Slaman ◽  
J. F. de Boer ◽  
...  

We present a multimodal ferrule-top sensor designed to perform the integrated epidetection of Optical Coherence Tomography (OCT) depth-profiles and micron-scale indentation by all-optical detection. By scanning a sample under the probe, we can obtain structural cross-section images and identify a region-of-interest in a nonhomogeneous sample. Then, with the same probe and setup, we can immediately target that area with a series of spherical-indentation measurements, in which the applied load is known with a [Formula: see text]N precision, the indentation depth with sub-[Formula: see text]m precision and a maximum contact radius of 100[Formula: see text][Formula: see text]m. Thanks to the visualization of the internal structure of the sample, we can gain a better insight into the observed mechanical behavior. The ability to impart a small, confined load, and perform OCT [Formula: see text]-scans at the same time, could lead to an alternative, high transverse resolution, Optical Coherence Elastography (OCE) sensor.

2015 ◽  
Author(s):  
Egbert de Boer ◽  
Fangyi Chen ◽  
Dingjun Zha ◽  
Alfred L. Nuttall

2005 ◽  
Vol 44 (No. 26) ◽  
pp. L854-L856 ◽  
Author(s):  
Masato Ohmi ◽  
Kenji Nohara ◽  
Yoshihiro Ueda ◽  
Toshie Fuji ◽  
Masamitsu Haruna

2011 ◽  
Vol 2 (8) ◽  
pp. 2202 ◽  
Author(s):  
Edward Z. Zhang ◽  
Boris Povazay ◽  
Jan Laufer ◽  
Aneesh Alex ◽  
Bernd Hofer ◽  
...  

2009 ◽  
Vol 23 (S1) ◽  
Author(s):  
Maricris Resurreccion Silva ◽  
Jae Hun Kim ◽  
Andrew Gouldstone

2021 ◽  
Vol 10 (20) ◽  
pp. 4668
Author(s):  
Luciano Quaranta ◽  
Carlo Bruttini ◽  
Giovanni De Angelis ◽  
Silvia Montescani ◽  
Alberto Ardizzone ◽  
...  

Purpose: To compare the number of hyper-reflective retinal spots (HRS) in optical coherence tomography (OCT) images of healthy controls and patients affected with primary open angle glaucoma (POAG). Methods: Thirty patients affected with POAG and 34 healthy controls were recruited and underwent raster OCT examination of the macular region. Among the acquired B-scans, the one with the lowest foveal thickness was selected, and a central area of 3000 μm was defined (region of interest, ROI), in order to identify HRS. HRS were defined as small point-like hyper-reflective elements, detectable at the visual inspection of the OCT image. HRS were independently counted by two investigators in the ROI of each OCT scan. Results: Inter-rater agreement for HRS counting was good to excellent (ICC = 0.96, 95% CI: 0.83–0.99). More HRS were found in the OCT images from glaucoma patients, in comparison with healthy controls (average value: 90.5 ± 13.02 and 74.72 ± 11.35, for glaucoma and healthy subjects, respectively; p < 0.01). Significant correlations between the average number of HRS and visual field mean deviation (MD, p = 0.01) and pattern standard deviation (PSD, p < 0.01) were found. Conclusions: OCT images from glaucoma patients showed a higher number of HRS when compared with healthy controls. As HRS have been hypothesized to be a sign of neuroinflammation, these results may support the role of neuroinflammation in glaucoma etiopathogenesis.


2016 ◽  
Vol 36 (1) ◽  
pp. 0111001
Author(s):  
谢炳凯 Xie Bingkai ◽  
刘少杰 Liu Shaojie ◽  
吴泳波 Wu Yongbo ◽  
唐志列 Tang Zhilie

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