Abstract
Purpose :
Mouse has become a common and important model for ocular developmental studies. Biometric measurement with high levels of repeatability and accuracy is necessary for the study of experimental animals with myopia. The aim of this study was to explore an accurate measurement scheme for the biological parameters of the whole eye in mice.
Methods :
We designed a middle resolution SD-OCT system using broadband superluminescent diode (OS-WB-S-D-850-55-5-C-S- FA, Golight, China,) as the light source. OCT images of eyes were taken from eight 21-day-old C57BL/6 mice (16 eyes). The image was strictly controlled according to the anterior corneal Apex, iris position and fundus optic nerve head-based, so as to obtain the accurate positioning of the mouse whole eye image. The three-dimensional radial scanning mode was used for image acquisition. Original images were used to calculate the central corneal thickness, anterior chamber depth (ACD), lens thickness (LT), vitreous chamber depth (VCD), and axial length (AL). The average value of the 3D scanning data and the repeatability of the biometric measurement outcomes were analyzed.
Results :
The axial resolution and imaging depth of the system are 3.9 μm (in tissue，n=1.475) and 4.3 mm, respectively. The excellent repeatability was found in mice eye for ACD, VCD, RT, AL , with an intraclass correlation coefficient (ICC) of ≥ 0.912. In particular, the ICC and a within-subject standard deviation of the AL were 0.999 and 5.1μm respectively.
Conclusions :
In this study, through the updated design of light source and matched spectrometer, as well as new three-dimensional radial scanning mode and optic nerve head-based positioning, we propose an OCT scheme and method suitable for accurate measurement in mice at, achieving whole-eye imaging of mice with tissue resolution about 5μm and imaging depth greater than 4mm, while achieving measurement repeatability accuracy about 5μm. This methodology could potentially increase the accuracy and efficiency of future myopia animal experiments.
This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.