Computational Method for Tridimensional Reconstruction of Human Blastocysts

The success of in vitro fertilization (IVF) is intricately linked to the precise selection of viable blastocysts. However, the limitations in relying solely on 2D microscope images to observe blastocysts have encouraged the pursuit of alternative methodologies. In response to this and the few proposals to obtain 3D models of the blastulas, we develop a computational algorithm for reconstructing 3D models of human blastocysts from 2D images previously acquired through bright-field microscopy. This 3D model holds the potential to enhance the blastula selection by facilitating improved visual morphology, potentially unearthing relevant insights into their distinctive features and attributes.