Three-dimensional imaging and quantification of mouse ovarian follicles via optical coherence tomography
Ovarian tissue cryopreservation has been successfully applied worldwide for fertility preservation. Correctly selecting the ovarian tissue with high follicle loading for freezing and reimplantation, increases the likelihood of restoring ovarian function, but it is challenging. In this work, we explore the use of three-dimensional spectral-domain optical coherence tomography (SD-OCT) to identify different follicular stages, especially primary follicles, we compare the identifications with H&E images, and we measure the size and age-related follicular density distribution differences in mice ovaries. We use the thickness of the layers of granulosa cells to differentiate primordial/primary follicles from secondary follicles. The measured dimensions and age-related follicular distribution agree well with histological images and physiological aging. We conclude that SD-OCT is a promising method to noninvasively evaluate ovarian follicles.
Electrical and Systems Engineering Capstone Design Projec
Date of Submission
Truong, Anh (Blue), "Three-dimensional imaging and quantification of mouse ovarian follicles via optical coherence tomography" (2022). Electrical and Systems Engineering Undergraduate Research. 4.