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.

Document Type


Author's School

McKelvey School of Engineering

Author's Department

Electrical and Systems Engineering

Class Name

Electrical and Systems Engineering Undergraduate Research

Date of Submission


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