An ophthalmic device comprising: an image capturing unit (14, 50) configured to capture a tomographic image of a crystalline lens of a subject eye; a processor; and a memory storing computer-readable instructions therein, wherein the computer-readable instructions, when executed by the processor, cause the processor to execute: detecting a boundary ( L1, L2, L3, L4, L5, L6) between an anterior capsule, a posterior capsule, a cortex, a nucleus and a vitreous body in a tomographic image of the crystalline lens of the subject eye captured by the image capturing unit (14, 50), the anterior capsule, the posterior capsule, the cortex, the nucleus and the vitreous body being tissues in the crystalline lens; determining whether the tissues defined by the boundary include an abnormality; extracting a tissue including the abnormality among the tissues defined by the boundary from the tomographic image of the crystalline lens of the subject eye; creating a two-dimensional image of each of the extracted tissues, the two-dimensional image being a tomographic image of the nucleus when the extracted tissue is the nucleus, the two-dimensional image being a front image when the extracted tissue is other than the nucleus; analyzing an analysis item associated with the abnormality based on the created two-dimensional image, the analyzing being grading the tissue abnormalities; and outputting an analysis result by the analyzing. an image capturing unit (14, 50) configured to capture a tomographic image of a crystalline lens of a subject eye; a processor; and a memory storing computer-readable instructions therein, wherein the computer-readable instructions, when executed by the processor, cause the processor to execute: detecting a boundary ( L1, L2, L3, L4, L5, L6) between an anterior capsule, a posterior capsule, a cortex, a nucleus and a vitreous body in a tomographic image of the crystalline lens of the subject eye captured by the image capturing unit (14, 50), the anterior capsule, the posterior capsule, the cortex, the nucleus and the vitreous body being tissues in the crystalline lens; determining whether the tissues defined by the boundary include an abnormality; extracting a tissue including the abnormality among the tissues defined by the boundary from the tomographic image of the crystalline lens of the subject eye; creating a two-dimensional image of each of the extracted tissues, the two-dimensional image being a tomographic image of the nucleus when the extracted tissue is the nucleus, the two-dimensional image being a front image when the extracted tissue is other than the nucleus; analyzing an analysis item associated with the abnormality based on the created two-dimensional image, the analyzing being grading the tissue abnormalities; and outputting an analysis result by the analyzing. detecting a boundary ( L1, L2, L3, L4, L5, L6) between an anterior capsule, a posterior capsule, a cortex, a nucleus and a vitreous body in a tomographic image of the crystalline lens of the subject eye captured by the image capturing unit (14, 50), the anterior capsule, the posterior capsule, the cortex, the nucleus and the vitreous body being tissues in the crystalline lens; determining whether the tissues defined by the boundary include an abnormality; extracting a tissue including the abnormality among the tissues defined by the boundary from the tomographic image of the crystalline lens of the subject eye; creating a two-dimensional image of each of the extracted tissues, the two-dimensional image being a tomographic image of the nucleus when the extracted tissue is the nucleus, the two-dimensional image being a front image when the extracted tissue is other than the nucleus; analyzing an analysis item associated with the abnormality based on the created two-dimensional image, the analyzing being grading the tissue abnormalities; and outputting an analysis result by the analyzing.