A system for visualizing an unstained sperm cell, the system comprising: - a data input utility configured and operable for receiving measured data comprising at least one quantitative phase microscopy image of the unstained sperm cell; - a data processing utility comprising: - an image analyzer module configured and operable to process said at least one quantitative phase microscopy image utilizing characteristic refractive index information of one or more organelles of the sperm cell represented by distinguishable refractive index values of different organelles of the sperm cell in said at least one quantitative phase microscopy image, and generate at least one corresponding gradient image being a differential interference contrast image that includes edge enhancement of said one or more organelles; and - a virtual staining module configured and operable to apply one or more predetermined virtual staining functions pertaining a specific stain to said at least one quantitative phase microscopy image and said at least one corresponding gradient image, said one or more virtual stating functions being predetermined by a trained deep learning model converting quantitative phase images of the sperm cells into virtually stained images, to thereby virtually stain at least one of said one or more organelles of the sperm cell and generate virtually stained image data of the sperm cell; and - an output utility configured and operable to utilize said virtually stained image data of the sperm cell and generate one or more stained images of the unstained sperm cell, each providing virtual staining attributes for the unstained sperm cell and thereby emulating an image of the sperm cell should the sperm cell has been actually stained with one or more actual stains. - a data input utility configured and operable for receiving measured data comprising at least one quantitative phase microscopy image of the unstained sperm cell; - a data processing utility comprising: - an image analyzer module configured and operable to process said at least one quantitative phase microscopy image utilizing characteristic refractive index information of one or more organelles of the sperm cell represented by distinguishable refractive index values of different organelles of the sperm cell in said at least one quantitative phase microscopy image, and generate at least one corresponding gradient image being a differential interference contrast image that includes edge enhancement of said one or more organelles; and - a virtual staining module configured and operable to apply one or more predetermined virtual staining functions pertaining a specific stain to said at least one quantitative phase microscopy image and said at least one corresponding gradient image, said one or more virtual stating functions being predetermined by a trained deep learning model converting quantitative phase images of the sperm cells into virtually stained images, to thereby virtually stain at least one of said one or more organelles of the sperm cell and generate virtually stained image data of the sperm cell; and - an output utility configured and operable to utilize said virtually stained image data of the sperm cell and generate one or more stained images of the unstained sperm cell, each providing virtual staining attributes for the unstained sperm cell and thereby emulating an image of the sperm cell should the sperm cell has been actually stained with one or more actual stains.