Patent ID: 11948295
Assignee: RAMOT AT TEL-AVIV UNIVERSITY LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A method for visualizing an unstained sperm cell, the method comprising:
receiving data comprising: measured data comprising at least one quantitative phase microscopy image of the unstained sperm cell; data indicative of characteristic refractive index information of one or more organelles of the sperm cell; and data indicative of one or more virtual staining functions pertaining to respective one or more actual stains typically used to stain the one or more organelles of the sperm cell;
processing said quantitative phase microscopy image of the sperm cell, by utilizing said characteristic refractive index information, and generating at least one corresponding gradient image that includes edge enhancement of said one or more organelles;
processing said at least one quantitative phase microscopy image and at least one corresponding gradient image, by utilizing said one or more virtual staining functions, 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
generating one or more stained images of the unstained sperm cell from the virtually stained image data of the sperm cell, each stained image emulating an image of the sperm cell should the sperm cell has been actually stained with one or more of the one or more stains;
wherein at least one of said one or more virtual staining functions is created by performing the following:
receiving first measured data of a plurality of quantitative phase images of a respective plurality of unstained sperm cells, and second measured data of a respective plurality of bright field microscopy images comprising one of the following: the plurality of the sperm cells after being stained with a specific stain, or the plurality of sperm cells stained with a specific stain, and
processing the first and second measured data utilizing machine deep learning to generate the at least one virtual staining function pertaining to the specific stain.